% generated by bibtexbrowser
%
% Encoding: UTF-8
@article{rodola-ijcv12-2,
author = {E. Rodola and A. Albarelli and F. Bergamasco and A. Torsello},
title = {A Scale Independent Selection Process for 3D Object Recognition in Cluttered Scenes},
journal = {International Journal of Computer Vision},
volume = {102},
number = {1},
pages = {129--145},
titleurl = {rodola-ijcv12-2.pdf},
month = {mar},
year = {2013},
doi = {10.1007/s11263-012-0568-x},
publisher = {Springer US},
keywords = {Shape Analysis, Recognition, Geometry Processing},
}
@article{albarelli-pr15,
author = {A. Albarelli and E. Rodola and A. Torsello},
title = {Fast and Accurate Surface Alignment through an Isometry-Enforcing Game},
journal = {Pattern Recognition},
year = {2015},
volume = {48},
issue = {7},
pages = {2209--2226},
doi = {10.1016/j.patcog.2015.01.020},
publisher = {Elsevier},
keywords = {Shape Analysis, Correspondence, Geometry Processing},
}
@article{rodola-ivc13,
author = {A. Torsello and A. Albarelli and E. Rodola},
title = {Stable and Fast Techniques for Unambiguous Compound Phase Coding},
journal = {Image and Vision Computing},
volume = {31},
number = {4},
pages = {341–-356},
month = {apr},
titleurl = {rodola-ivc13.pdf},
year = {2013},
issn = {0262-8856},
doi = {10.1016/j.imavis.2013.02.004},
keywords = {3D Reconstruction, Geometry Processing},
}
@article{KuschkdGRC17,
author = {G. Kuschk and P. d'Angelo and D. Gaudrie and P. Reinartz and D. Cremers},
title = {Spatially Regularized Fusion of Multiresolution Digital Surface Models},
journal = {{IEEE} Trans. Geosci. Remote. Sens.},
volume = {55},
number = {3},
pages = {1477--1488},
year = {2017},
}
@article{CremersLV17,
author = {D. Cremers and L. Leal-Taixé and R. Vidal},
title = {Deep Learning for Computer Vision (Dagstuhl Seminar 17391)},
journal = {Dagstuhl Reports},
volume = {7},
number = {9},
pages = {109--125},
year = {2017},
}
@incollection{Cremers15,
author = {D. Cremers},
editor = {O. Scherzer},
title = {Image Segmentation with Shape Priors: Explicit Versus Implicit Representations},
booktitle = {Handbook of Mathematical Methods in Imaging},
pages = {1909--1944},
publisher = {Springer},
year = {2015},
}
@inproceedings{CosmoABTRC16,
author = {L. Cosmo and A. Albarelli and F. Bergamasco and A. Torsello and E. Rodolà and D. Cremers},
title = {A game-theoretical approach for joint matching of multiple feature
throughout unordered images},
booktitle = {23rd International Conference on Pattern Recognition, {ICPR} 2016,
Canc{\'{u}}n, Mexico, December 4-8, 2016},
pages = {3715--3720},
publisher = {{IEEE}},
year = {2016},
}
@article{rodola-ijcv12-1,
author = {A. Albarelli and E. Rodola and A. Torsello},
title = {Imposing Semi-local Geometric Constraints for Accurate Correspondences Selection in Structure from Motion: a Game-Theoretic Perspective},
journal = {International Journal of Computer Vision},
volume = {97},
number = {1},
pages = {36--53},
month = {mar},
year = {2012},
titleurl = {rodola-ijcv12-1.pdf},
doi = {10.1007/s11263-011-0432-4},
award = {Invited submission},
publisher = {Springer US},
topic = {3D Reconstruction, Correspondence},
}
@inproceedings{moeller-et-al-iccv15,
author = {M. Moeller and J. Diebold and G. Gilboa and D. Cremers},
title = {Learning Nonlinear Spectral Filters for Color Image Reconstruction},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2015},
keywords = {diebold},
}
@inproceedings{Benning0N0CGS17,
author = {M. Benning and M. Möller and R. Z. Nossek and M. Burger and D. Cremers and G. Gilboa},
editor = {F. Lauze and
Y. Dong and
A. Dahl},
title = {Nonlinear Spectral Image Fusion},
booktitle = {Scale Space and Variational Methods in Computer Vision - 6th International
Conference, {SSVM} 2017, Kolding, Denmark, June 4-8, 2017, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {10302},
pages = {41--53},
publisher = {Springer},
year = {2017},
}
@inproceedings{diebold-et-al-ssvm15,
author = {J. Diebold and N. Demmel and C. Hazirbas and M. Möller and D. Cremers},
title = {Interactive Multi-label Segmentation of {RGB-D} Images},
booktitle = {Scale Space and Variational Methods in Computer Vision (SSVM)},
year = {2015},
month = {june},
keywords = {diebold, segmentation},
doi = {10.1007/978-3-319-18461-6_24},
}
@inproceedings{Toker_2022_CVPR,
author = {A Toker and L Kondmann and M Weber and M Eisenberger and C Andres and J Hu and A Hoderlein and C Senaras and T Davis and D Cremers and G Marchisio and X Zhu and L Leal-Taixe},
title = {DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
titleurl = {toker-et-al-cvpr22.pdf},
year = {2022},
}
@inproceedings{hazirbas-et-al-ssvm15,
author = {C. Hazirbas and J. Diebold and D. Cremers},
title = {Optimizing the Relevance-Redundancy Tradeoff for Efficient Semantic Segmentation},
booktitle = {Scale Space and Variational Methods in Computer Vision (SSVM)},
year = {2015},
month = {june},
keywords = {diebold, segmentation},
doi = {10.1007/978-3-319-18461-6_20},
award = {Oral Presentation},
}
@article{Diebold-et-al-ijcv15,
author = {J. Diebold and C. Nieuwenhuis and D. Cremers},
title = {{Midrange Geometric Interactions for Semantic Segmentation}},
subtitle = {{Constraints for Continuous Multi-label Optimization}},
journal = {International Journal of Computer Vision},
issuetitle = {{Special Issue on Graphical Models for Scene Understanding}},
volume = {117},
number = {3},
pages = {199--225},
year = {2016},
publisher = {Springer US},
issn = {0920-5691},
doi = {10.1007/s11263-015-0828-7},
url = {http://dx.doi.org/10.1007/s11263-015-0828-7},
language = {English},
titleurl = {diebold-et-al-ijcv15.pdf},
keywords = {diebold},
}
@article{Diebold-et-al-jmiv15,
author = {J. Diebold and S. Tari and D. Cremers},
title = {The Role of Diffusion in Figure Hunt Games},
journal = {Journal of Mathematical Imaging and Vision},
year = {2015},
pages = {108-123},
issn = {0924-9907},
volume = {52},
number = {1},
publisher = {Springer},
language = {English},
titleurl = {diebold-et-al-jmiv15.pdf},
doi = {10.1007/s10851-014-0548-6},
keywords = {diebold},
}
@incollection{bal-et-al-2015,
author = {G. Bal and J. Diebold and E. W. Chambers and E. Gasparovic and R. Hu and K. Leonard and M. Shaker and C. Wenk},
title = {{Skeleton-Based Recognition of Shapes in Images via Longest Path Matching}},
booktitle = {Research in Shape Modeling},
year = {2015},
series = {Association for Women in Mathematics Series},
publisher = {Springer International Publishing},
isbn = {978-3-319-16347-5},
volume = {1},
pages = {81--99},
doi = {10.1007/978-3-319-16348-2_6},
titleurl = {bal-et-al-2015.pdf},
keywords = {diebold},
}
@inproceedings{Bergbauer-Tari-ssvm13,
author = {J Bergbauer and S Tari},
title = {Wimmelbild Analysis with Approximate Curvature Coding Distance Images},
booktitle = {Scale Space and Variational Methods in Computer Vision},
year = {2013},
titleurl = {Bergbauer-Tari-ssvm13.pdf},
pages = {489-500},
editor = {A. Kuijper and K. Bredies and T. Pock and H. Bischof},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {7893},
address = {Schloss Seggau, Leibnitz, Austria},
month = {june},
keywords = {diebold},
doi = {10.1007/978-3-642-38267-3_41},
award = {Oral Presentation},
}
@inproceedings{Bergbauer-Tari-spie-hvei13,
author = {J Bergbauer and S Tari},
title = {Top-down visual search in Wimmelbild},
booktitle = {Proceedings of SPIE, Human Vision and Electronic Imaging XVIII},
year = {2013},
titleurl = {Bergbauer-Tari-spie-hvei13.pdf},
address = {California, USA},
doi = {10.1117/12.2006160},
keywords = {diebold},
}
@inproceedings{rodola-cvpr13,
author = {F. Bergamasco and A. Albarelli and E. Rodola and A. Torsello},
title = {Can a fully unconstrained imaging model be applied effectively to central cameras?},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2013},
titleurl = {rodola-cvpr13.pdf},
topic = {Calibration},
}
@inproceedings{rodola-cvpr12,
author = {E. Rodola and A.M. Bronstein and A. Albarelli and F. Bergamasco and A. Torsello},
title = {A game-theoretic approach to deformable shape matching},
pages = {182-189},
doi = {10.1109/CVPR.2012.6247674},
issn = {1063-6919},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2012},
titleurl = {rodola-cvpr12.pdf},
keywords = {Shape Analysis},
}
@inproceedings{rodola-cvpr11-2,
author = {A. Torsello and E. Rodola and A. Albarelli},
title = {Multiview Registration via Graph Diffusion of Dual Quaternions},
pages = {2441-2448},
doi = {10.1109/CVPR.2011.5995565},
issn = {1063-6919},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2011},
titleurl = {dualquat-demo.zip},
topic = {3D Reconstruction},
}
@inproceedings{rodola-cvpr11-1,
author = {F. Bergamasco and A. Albarelli and E. Rodola and A. Torsello},
title = {RUNE-Tag: a High Accuracy Fiducial Marker with Strong Occlusion Resilience},
pages = {113-120},
doi = {10.1109/CVPR.2011.5995544},
issn = {1063-6919},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2011},
titleurl = {rodola-cvpr11-1.pdf},
topic = {Recognition, Augmented Reality},
}
@inproceedings{rodola-3dimpvt11-2,
author = {A. Albarelli and E. Rodola and A. Torsello},
title = {A Non-Cooperative Game for 3D Object Recognition in Cluttered Scenes},
booktitle = {International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)},
year = {2011},
pages = {252-259},
doi = {10.1109/3DIMPVT.2011.39},
titleurl = {rodola-3dimpvt11-2.pdf},
keywords = {Shape Analysis, Recognition, Correspondence, Segmentation},
}
@inproceedings{rodola-3dimpvt11-1,
author = {A. Torsello and E. Rodola and A. Albarelli},
title = {Sampling Relevant Points for Surface Registration},
booktitle = {International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)},
year = {2011},
pages = {290-295},
doi = {10.1109/3DIMPVT.2011.43},
titleurl = {rodola-3dimpvt11-1.pdf},
keywords = {Shape Analysis},
}
@inproceedings{rodola-bmvc10,
author = {A. Albarelli and E. Rodola and A. Torsello},
title = {Robust Camera Calibration using Inaccurate Targets},
booktitle = {British Machine Vision Conference (BMVC)},
year = {2010},
isbn = {1-901725-40-5},
doi = {10.5244/C.24.16},
titleurl = {rodola-bmvc10.pdf},
topic = {Calibration},
}
@inproceedings{rodola-icpr10-2,
author = {E. Rodola and A. Albarelli and A. Torsello},
title = {A Game-Theoretic Approach to Robust Selection of Multi-View Point Correspondence},
booktitle = {20th International Conference on Pattern Recognition (ICPR)},
year = {2010},
pages = {57--60},
doi = {10.1109/ICPR.2010.23},
issn = {1051-4651},
titleurl = {rodola-icpr10-2.pdf},
topic = {3D Reconstruction, Correspondence},
}
@inproceedings{rodola-icpr10-1,
author = {A. Albarelli and E. Rodola and A. Cavallarin and A. Torsello},
title = {Robust Figure Extraction on Textured Background: a Game-Theoretic Approach},
booktitle = {20th International Conference on Pattern Recognition (ICPR)},
year = {2010},
pages = {360--363},
issn = {1051-4651},
doi = {10.1109/ICPR.2010.97},
titleurl = {rodola-icpr10-1.pdf},
topic = {Recognition},
}
@inproceedings{rodola-sspr10,
author = {E. Rodola and A. Albarelli and A. Torsello},
title = {A Game-Theoretic Approach to the Enforcement of Global Consistency in Multi-View Feature Matching},
booktitle = {13th International Workshop on Structural and Syntactic Pattern Recognition (SSPR)},
pages = {354--364},
isbn = {978-3-642-14979-5},
doi = {10.1007/978-3-642-14980-1_34},
year = {2010},
titleurl = {rodola-sspr10.pdf},
topic = {3D Reconstruction, Correspondence},
}
@inproceedings{rodola-cvpr10,
author = {A. Albarelli and E. Rodola and A. Torsello},
title = {A Game-Theoretic Approach to Fine Surface Registration without Initial Motion Estimation},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
pages = {430-437},
issn = {1063-6919},
doi = {10.1109/CVPR.2010.5540183},
year = {2010},
titleurl = {rodola-cvpr10.pdf},
keywords = {Shape Analysis, Correspondence},
}
@inproceedings{rodola-3dpvt10,
author = {A. Albarelli and E. Rodola and A. Torsello},
title = {Robust Game-Theoretic Inlier Selection for Bundle Adjustment},
booktitle = {5th International Symposium on 3D Data Processing, Visualization and Transmission ({3DPVT})},
year = {2010},
titleurl = {rodola-3dpvt10.pdf},
award = {Best Student Paper Award},
topic = {3D Reconstruction, Correspondence},
}
@inproceedings{rodola-eccv10,
author = {A. Albarelli and E. Rodola and A. Torsello},
title = {Loosely Distinctive Features for Robust Surface Alignment},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2010},
titleurl = {rodola-eccv10.pdf},
doi = {10.1007/978-3-642-15555-0_38},
isbn = {3-642-15554-5, 978-3-642-15554-3},
pages = {519--532},
topic = {Shape Analysis},
}
@inproceedings{rodola-3dim09,
author = {A. Albarelli and E. Rodola and S. R Bulo and A. Torsello},
title = {Fast 3D surface reconstruction by unambiguous compound phase coding},
booktitle = {the 2009 {IEEE} {I}nternational {W}orkshop on 3{D} {D}igital {I}maging and {M}odeling ({3DIM})},
year = {2009},
pages = {1670 -1677},
titleurl = {rodola-3dim09.pdf},
doi = {10.1109/ICCVW.2009.5457484},
isbn = {978-1-4244-4442-7},
topic = {3D Reconstruction},
}
@inproceedings{Windheuser-et-al-iccv11,
author = {T. Windheuser and U. Schlickewei and F. R. Schmidt and D. Cremers},
title = {Geometrically Consistent Elastic Matching of 3D Shapes: A Linear Programming Solution},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2011},
titleurl = {WSSC_iccv11.pdf},
topic = {Shape Analysis},
}
@article{Windheuser-et-al-sgp11,
author = {T. Windheuser and U. Schlickewei and F. R. Schmidt and D. Cremers},
title = {Large-Scale Integer Linear Programming for Orientation-Preserving 3D Shape Matching},
journal = {Computer Graphics Forum (Proceedings Symposium Geometry Processing)},
number = {5},
volume = {30},
pages = {1471--1480},
year = {2011},
publisher = {Eurographics},
titleurl = {WSSC_sgp11.pdf},
topic = {Shape Analysis},
}
@inproceedings{Aubry-et-al-dagm11,
author = {M. Aubry and U. Schlickewei and D. Cremers},
title = {Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor},
booktitle = {Pattern Recognition (Proc. DAGM)},
address = {Frankfurt, Germany},
topic = {Shape Analysis},
year = {2011},
publisher = {Springer},
titleurl = {ASC_dagm11.pdf},
}
@inproceedings{SSKKC-10,
author = {M. Schikora and A. Schikora and K.-H. Kogel and W. Koch and D. Cremers},
title = {Probabilistic Classification of Disease Symptoms caused by Salmonella on Arabidopsis Plants},
month = {September},
year = {2010},
booktitle = {5th IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) },
address = {Leipzig, Germany},
titleurl = {2010_sskkc_sdf.pdf},
keywords = {biology},
}
@inproceedings{Bender0C17,
author = {D. Bender and W. Koch and D. Cremers},
title = {Map-based drone homing using shortcuts},
booktitle = {2017 {IEEE} International Conference on Multisensor Fusion and Integration
for Intelligent Systems, {MFI} 2017, Daegu, Korea (South), November
16-18, 2017},
pages = {505--511},
publisher = {{IEEE}},
year = {2017},
}
@inproceedings{SBCK-10,
author = {M. Schikora and D. Bender and D. Cremers and W. Koch},
title = {Passive Multi-Object Localization and Tracking Using Bearing Data},
month = {July},
year = {2010},
booktitle = {13th International Conference on Information Fusion (FUSION)},
address = {Edinburgh, UK},
titleurl = {2010_sbck_fusion.pdf},
}
@inproceedings{SBKC-10,
author = {M. Schikora and D. Bender and W. Koch and D. Cremers},
title = { Multi-target multi-sensor localization and tracking using passive antenna and optical sensors on UAVs },
month = {September},
year = {2010},
booktitle = {SPIE Security + Defence},
address = {Toulouse, France},
titleurl = {2010_sbkc_spie.pdf},
}
@inproceedings{Toeppe-et-al-accv10,
author = {E. Toeppe and M. R. Oswald and D. Cremers and C. Rother},
title = {Image-based 3D Modeling via Cheeger Sets},
booktitle = {Asian Conference on Computer Vision},
year = {2010},
address = {Queenstown, New Zealand},
month = {nov},
titleurl = {toeppe_et_al_accv10.pdf},
award = {Received Honorable Mention Award},
topic = {Single View Reconstruction, Convex Relaxation Methods},
pages = {53-64},
keywords = {singleview, convex-relaxation},
}
@article{Cremers-Kolev-pami11,
author = {D. Cremers and K. Kolev},
title = {Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {2011},
volume = {33},
number = {6},
pages = {1161--1174},
titleurl = {cremers_kolev_pami11.pdf},
topic = {3D Reconstruction},
keywords = {3d-reconstruction, convex-relaxation, 3drec},
}
@article{Pock-et-al-10,
author = {T. Pock and D. Cremers and H. Bischof and A. Chambolle},
title = {Global Solutions of Variational Models with Convex Regularization},
journal = {SIAM Journal on Imaging Sciences},
year = {2010},
volume = {3},
number = {4},
pages = {1122--1145},
titleurl = {pock_et_al_siims10.pdf},
topic = {Convex Relaxation Methods},
keywords = {convex-relaxation},
}
@inproceedings{KPC-10,
author = {K. Kolev and T. Pock and D. Cremers},
title = {Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo},
optcrossref = {},
optkey = {},
booktitle = {European Conference on Computer Vision (ECCV)},
optpages = {},
year = {2010},
opteditor = {},
optvolume = {},
optnumber = {},
optseries = {},
address = {Heraklion, Greece},
month = {September},
optorganization = {},
optpublisher = {},
optannote = {},
titleurl = {KPC-10.pdf},
topic = {3D Reconstruction, Convex Relaxation Methods},
keywords = {3d-reconstruction,3drec, convex-relaxation},
}
@phdthesis{Schoenemann-diss-online,
author = {T. Schoenemann},
title = {Combinatorial Solutions for Shape Optimization in Computer Vision},
school = {Department of Computer Science, University of Bonn, Germany},
year = {2008},
titleurl = {schoenemann_dissertation.pdf},
}
@inproceedings{Oswald-et-al-dagm09,
author = {M. R. Oswald and E. Toeppe and K. Kolev and D. Cremers},
title = {Non-Parametric Single View Reconstruction of Curved Objects using Convex Optimization},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2009},
address = {Jena, Germany},
month = {September},
titleurl = {otkc_dagm09.pdf},
award = {Received a DAGM Paper Award},
topic = {Single View Reconstruction, Convex Relaxation Methods},
pages = {171-180},
keywords = {singleview, convex-relaxation},
}
@inproceedings{Stuehmer-et-al-dagm10,
author = {J. Stühmer and S. Gumhold and D. Cremers},
title = {Real-Time Dense Geometry from a Handheld Camera},
booktitle = {Pattern Recognition (Proc. DAGM)},
pages = {11-20},
year = {2010},
address = {Darmstadt, Germany},
month = {September},
titleurl = {stuehmer_et_al_dagm10.pdf},
keywords = {3d-reconstruction, rgb-d, dense, monocular, slam, vslam},
topic = {3D Reconstruction},
}
@inproceedings{Stuehmer-et-al-cvgpu10,
author = {J. Stühmer and S. Gumhold and D. Cremers},
title = {Parallel Generalized Thresholding Scheme for Live Dense Geometry from a Handheld Camera},
booktitle = {ECCV Workshop on Computer Vision on GPUs (CVGPU)},
year = {2010},
address = {Heraklion, Greece},
month = {September},
keywords = {3d-reconstruction, rgb-d, dense, monocular, slam, vslam},
topic = {3D Reconstruction},
}
@inproceedings{Schmidt-Cremers-dagm09,
author = {F. R. Schmidt and D. Cremers},
title = {A Closed-Form Solution for Image Sequence Segmentation with Dynamical Shape Priors},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2009},
address = {Jena, Germany},
month = {September},
titleurl = {sc09.pdf},
topic = {Shape Priors},
keywords = {shape-priors},
}
@inproceedings{Schmidt-et-al-cvpr09,
author = {F. R. Schmidt and E. Toeppe and D. Cremers},
title = {Efficient Planar Graph Cuts with Applications in Computer Vision},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2009},
address = {Miami, Florida},
month = {jun},
titleurl = {schmidt_et_al_cvpr09.pdf},
award = {Received a CVPR Doctoral Spotlight Award},
topic = {Shape Analysis},
keywords = {shape-analysis},
pages = {351-356},
}
@inproceedings{SSC2008,
author = {T. Schoenemann and F. R. Schmidt and D. Cremers},
title = {Image Segmentation with Elastic Shape Priors via Global Geodesics in Product Spaces},
booktitle = {British Machine Vision Conference (BMVC)},
year = {2008},
address = {Leeds, UK},
month = {September},
titleurl = {ssc_bmvc08.pdf},
}
@book{ACCV-14,
title = {Computer Vision: ACCV 2014},
year = {2014},
author = {E: D. Cremers and I. Reid and H. Saito and M.-S. Yang},
volume = {9003-9007},
series = {LNCS},
publisher = {Springer},
}
@book{EMMCVPR-07,
title = {Energy Minimization Methods for Computer Vision and
Pattern Recognition (EMMCVPR)},
year = {2007},
author = {E: S.-C. Zhu and A. Yuille and D. Cremers and Y. Wang},
volume = {4679},
series = {LNCS},
publisher = {Springer},
}
@book{computational-video-10,
title = {Video Processing and Computational Video},
year = {2010},
author = {E: D. Cremers and M. Magnor and M. R. Oswald and L. Zelnik-Manor},
volume = {7082},
series = {LNCS},
publisher = {Springer},
}
@book{emmcvpr-09,
title = {Energy Minimization Methods for Computer Vision and
Pattern Recognition (EMMCVPR)},
year = {2009},
author = {E: D. Cremers and Y. Boykov and A. Blake and F. R. Schmidt},
volume = {5681},
series = {LNCS},
publisher = {Springer},
}
@inproceedings{Unger2008_TVSeg,
author = {M. Unger and T. Pock and D. Cremers and H. Bischof},
title = {TVSeg - Interactive Total Variation Based Image
Segmentation},
optcrossref = {},
optkey = {},
booktitle = {British Machine Vision Conference (BMVC)},
optpages = {},
year = {2008},
opteditor = {},
optvolume = {},
optnumber = {},
optseries = {},
address = {Leeds, UK},
month = {September},
optorganization = {},
optpublisher = {},
optannote = {},
titleurl = {seg_bmvc08.pdf},
}
@inproceedings{Pock2008_Convex,
author = {T. Pock and T. Schoenemann and G. Graber and H. Bischof and D. Cremers},
title = {A Convex Formulation of Continuous Multi-Label Problems},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2008},
address = {Marseille, France},
month = {October},
titleurl = {pock_et_al_eccv08.pdf},
topic = {Convex Relaxation Methods},
keywords = {convex-relaxation},
}
@inproceedings{Pock-et-al-09,
author = {T. Pock and A. Chambolle and H. Bischof and D. Cremers},
title = {A Convex Relaxation Approach for Computing Minimal Partitions},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2009},
address = {Miami, Florida},
titleurl = {pock_et_al_cvpr09.pdf},
topic = {Convex Relaxation Methods},
keywords = {convex-relaxation, medical imaging},
}
@article{Chambolle-et-al-siims12,
author = {A. Chambolle and D. Cremers and T. Pock},
title = {A Convex Approach to Minimal Partitions},
journal = {SIAM Journal on Imaging Sciences},
year = {2012},
volume = {5},
number = {4},
pages = {1113--1158},
titleurl = {Chambolle_et_al_siims12.pdf},
topic = {Convex Relaxation Methods},
keywords = {convex-relaxation},
}
@inproceedings{Kolev-Cremers-09,
author = {K. Kolev and D. Cremers},
title = {Continuous Ratio Optimization via Convex Relaxation with Applications to Multiview 3D Reconstruction},
optcrossref = {},
optkey = {},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
optpages = {},
year = {2009},
opteditor = {},
optvolume = {},
optnumber = {},
optseries = {},
address = {Miami, Florida},
titleurl = {Kolev-Cremers-09.pdf},
topic = {3D Reconstruction},
keywords = {3d-reconstruction, convex-relaxation},
}
@inproceedings{Trobin2008_Fusion,
author = {W. Trobin and T. Pock and D. Cremers and H. Bischof},
title = {Continuous Energy Minimization via Repeated Binary Fusion},
optcrossref = {},
optkey = {},
booktitle = {European Conference on Computer Vision (ECCV)},
optpages = {},
year = {2008},
opteditor = {},
optvolume = {},
optnumber = {},
optseries = {},
address = {Marseille, France},
month = {October},
optorganization = {},
optpublisher = {},
optannote = {},
titleurl = {trobin_eccv2008.pdf},
topic = {Convex Relaxation Methods},
keywords = {convex-relaxation},
}
@inproceedings{KC-08,
author = {K. Kolev and D. Cremers},
title = {Integration of Multiview Stereo and Silhouettes via Convex Functionals on Convex Domains},
optcrossref = {},
optkey = {},
booktitle = {European Conference on Computer Vision (ECCV)},
optpages = {},
year = {2008},
opteditor = {},
optvolume = {},
optnumber = {},
optseries = {},
address = {Marseille, France},
month = {October},
optorganization = {},
optpublisher = {},
optannote = {},
titleurl = {KC-08.pdf},
topic = {3D Reconstruction},
keywords = {3d-reconstruction, convex-relaxation},
}
@inproceedings{Wedel-et-al-08,
author = {A. Wedel and C. Rabe and T. Vaudrey and T. Brox and U. Franke and D. Cremers},
title = {Efficient Dense Scene Flow from Sparse or Dense
Stereo Data},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2008},
address = {Marseille, France},
month = {October},
titleurl = {wedel_et_al_eccv08.pdf},
topic = {Motion},
keywords = {optical-flow,scene-flow},
}
@inproceedings{Wedel-et-al-ivcnz08,
author = {A. Wedel and T. Pock and J. Braun and U. Franke and D. Cremers},
title = {Duality TV-L1 Flow with Fundamental Matrix Prior},
booktitle = {Image Vision and Computing},
year = {2008},
address = {Auckland, New Zealand},
month = {November},
titleurl = {wedel_et_al_ivcnz08.pdf},
topic = {Motion},
keywords = {optical-flow},
}
@inproceedings{KSKSC-08,
author = {M. Klodt and T. Schoenemann and K. Kolev and M. Schikora and D. Cremers},
title = {An Experimental Comparison of Discrete and Continuous Shape Optimization Methods},
year = {2008},
address = {Marseille, France},
month = {October},
booktitle = {European Conference on Computer Vision (ECCV)},
titleurl = {KSKSC-08.pdf},
topic = {3D Reconstruction, Convex Relaxation Methods},
keywords = {3d-reconstruction, convex-relaxation},
}
@inproceedings{Pock2006_PhaseField,
author = {T. Pock and H. Bischof},
title = {A Probabilistic Multiphase Model for Variational Image Segmentation},
optcrossref = {},
optkey = {},
booktitle = {Pattern Recognition (Proc. DAGM)},
pages = {71--80},
year = {2006},
opteditor = {},
optvolume = {},
optnumber = {},
optseries = {},
address = {Berlin, Germany},
month = {September},
optorganization = {},
optpublisher = {},
optnote = {},
optannote = {},
}
@inproceedings{Pock2007_Real-Time,
author = {T Pock and M Grabner and H Bischof},
title = {Real-time Computation of Variational Methods on Graphics Hardware},
optcrossref = {},
optkey = {},
booktitle = {Computer Vision Winter Workshop 2007},
optpages = {},
year = {2007},
opteditor = {},
optvolume = {},
optnumber = {},
optseries = {},
optaddress = {},
optmonth = {},
optorganization = {},
optpublisher = {},
optnote = {},
optannote = {},
}
@inproceedings{Zach2007_OpticalFlow,
author = {C. Zach and T. Pock and H. Bischof},
title = {A Duality Based Approach for Realtime TV-L1 Optical Flow},
optcrossref = {},
optkey = {},
booktitle = {Pattern Recognition (Proc. DAGM)},
pages = {214--223},
year = {2007},
opteditor = {},
optvolume = {},
optnumber = {},
optseries = {},
address = {Heidelberg, Germany},
optmonth = {},
optorganization = {},
optpublisher = {},
optnote = {},
optannote = {},
keywords = {optical-flow},
}
@inproceedings{Pock2007_Registration,
author = {T. Pock and paperM. Urschler and C. Zach and R. Beichel and H. Bischof},
title = {A Duality Based Algorithm for TV-L1-Optical-Flow Image Registration},
optcrossref = {},
optkey = {},
booktitle = {10th International Conference on Medical Image Computing and Computer Assisted Intervention},
pages = {511--518},
year = {2007},
opteditor = {},
optvolume = {},
optnumber = {},
optseries = {},
address = {Brisbane, Australia},
optmonth = {},
optorganization = {},
optpublisher = {},
optnote = {},
optannote = {},
keywords = {optical-flow},
}
@inproceedings{Zach2007_Range,
author = {C. Zach and T. Pock and H. Bischof},
title = {A Globally Optimal Algorithm for Robust {TV}-{L1} Range Image Integration},
optcrossref = {},
optkey = {},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
optpages = {},
year = {2007},
opteditor = {},
optvolume = {},
optnumber = {},
optseries = {},
address = {Rio de Janeiro, Brazil},
optmonth = {},
optorganization = {},
optpublisher = {},
optnote = {},
optannote = {},
}
@inproceedings{Pock2007_MumfordShahStereo,
author = {T. Pock and C. Zach and H. Bischof},
title = {Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses},
optcrossref = {},
optkey = {},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
pages = {1--8},
year = {2007},
opteditor = {},
optvolume = {},
optnumber = {},
optseries = {},
optaddress = {},
month = {June},
optorganization = {},
optpublisher = {},
optnote = {},
optannote = {},
}
@article{Pock2007_Algorithmic,
author = {T. Pock and M. Pock and H. Bischof},
title = {Algorithmic Differentiation: Application to Variational Problems in Computer Vision},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {2007},
paper
optkey = {},
volume = {29},
number = {7},
pages = {1180--1193},
month = {July},
optnote = {},
optannote = {},
}
@inproceedings{Grabner2008_Registration,
author = {M. Grabner and T. Pock and T Gross},
title = {Automatic Differentiation for {GPU}-Accelerated {2D/3D} Registration},
optcrossref = {},
optkey = {},
booktitle = {5th International Conference on Automatic Differentiation},
year = {2008},
opteditor = {},
optvolume = {},
optnumber = {},
optseries = {},
optaddress = {},
optmonth = {},
optorganization = {},
optpublisher = {},
optnote = {},
optannote = {},
paper
titleurl = {ad2008.pdf},
}
@inproceedings{Unger2008_Segmentation,
author = {M. Unger and T. Pock and H. Bischof},
title = {Continuous Globally Optimal Image Segmentation with Local Constraints},
optcrossref = {},
optkey = {},
booktitle = {Computer Vision Winter Workshop 2008},
pages = {accepted},
year = {2008},
opteditor = {},
optvolume = {},
optnumber = {},
optseries = {},
optaddress = {},
optmonth = {},
optorganization = {},
optpublisher = {},
optnote = {},
optannote = {},
paper
titleurl = {cvww08seg.pdf},
}
@inproceedings{Pock-et-al-cvpr08-ws,
author = {T. Pock and M. Unger and D. Cremers and H. Bischof},
title = {Fast and Exact Solution of Total Variation Models on the GPU},
optcrossref = {},
optkey = {},
booktitle = {CVPR Workshop on Visual Computer Vision on GPU's},
optpages = {},
year = {2008},
opteditor = {},
optvolume = {},
optnumber = {},
optseries = {},
optaddress = {Anchorage, Alaska},
month = {June},
optorganization = {},
optpublisher = {},
titleurl = {cvpr2008ws.pdf},
optannote = {},
keywords = {medical imaging},
}
@inproceedings{WedelDagstuhlOF,
author = {A. Wedel and T. Pock and C. Zach and D. Cremers and H. Bischof},
title = {An Improved Algorithm for {TV-L1} Optical Flow},
month = {September},
year = {2008},
booktitle = {Proc. of the Dagstuhl Motion Workshop},
series = {LNCS},
publisher = {Springer},
titleurl = {DagstuhlOpticalFlowChapter.pdf},
keywords = {optical-flow},
}
@inproceedings{Trobin-et-al-dagm08,
author = {W. Trobin and T. Pock and D. Cremers and H. Bischof},
title = {An Unbiased Second-Order Prior for High-Accuracy Motion Estimation},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2008},
series = {LNCS},
address = {Munich, Germany},
month = {jun},
publisher = {Springer},
titleurl = {trobin_et_al_dagm08.pdf},
keywords = {optic-flow},
copyright = {{Springer-Verlag Berlin Heidelberg 2007}},
}
@inproceedings{Cremers-et-al-cvpr08,
author = {D. Cremers and F. R. Schmidt and F. Barthel},
title = {Shape Priors in Variational Image Segmentation: Convexity, Lipschitz Continuity and Globally Optimal Solutions},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2008},
address = {Anchorage, Alaska},
month = {jun},
keywords = {shape-priors, convex-relaxation},
titleurl = {cremers_et_al_cvpr08.pdf},
topic = {Shape Priors, Convex Relaxation Methods},
}
@inproceedings{Rosenhahn-et-al-cvpr08,
author = {B. Rosenhahn and C. Schmaltz and T. Brox and J. Weickert and D. Cremers and H.-P. Seidel},
title = {Markerless Motion Capture of Man-Machine Interaction},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2008},
address = {Anchorage, Alaska},
month = {jun},
titleurl = {rosenhahn_et_al_cvpr08.pdf},
keywords = {tracking},
topic = {3DTracking},
}
@inproceedings{Schoenemann-Cremers-08c,
author = {T. Schoenemann and D. Cremers},
title = {Matching Non-rigidly Deformable Shapes Across Images: A Globally Optimal Solution},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2008},
address = {Anchorage, Alaska},
month = {jun},
keywords = {Motion},
titleurl = {deform_cvpr08.pdf},
topic = {Segmentation},
}
@inproceedings{Schoenemann-Cremers-08b,
author = {T. Schoenemann and D. Cremers},
title = {Globally Optimal Shape-based Tracking in Real-time},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2008},
address = {Anchorage, Alaska},
month = {jun},
keywords = {Motion},
titleurl = {rt_cvpr08.pdf},
topic = {Segmentation},
}
@inproceedings{Schoenemann-Cremers-08a,
author = {T. Schoenemann and D. Cremers},
title = {High Resolution Motion Layer Decomposition using Dual-space Graph Cuts},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2008},
address = {Anchorage, Alaska},
month = {jun},
keywords = {Motion},
titleurl = {srlayer_cvpr08.pdf},
topic = {Motion},
}
@inproceedings{Rosenhahn-et-al-rv08,
author = {B. Rosenhahn and T. Brox and D. Cremers and H.-P. Seidel},
title = {Modeling and Tracking Line-Constrained Mechanical Systems},
booktitle = {2nd Workshop on Robot Vision},
editor = {G. Sommer and R. Klette},
year = {2008},
series = {LNCS},
volume = {4931},
pages = {98--110},
titleurl = {Rosenhahn_et_al_robvis08.pdf},
topic = {3DTracking},
keywords = {tracking},
}
@inproceedings{FKR-07,
author = {S. Frintrop and M. Klodt and E. Rome},
title = {A Real-time Visual Attention System Using Integral Images},
booktitle = {5th International Conference on Computer Vision Systems (ICVS 2007)},
address = {Bielefeld, Germany},
month = {March},
year = {2007},
titleurl = {frintrop_etal_icvs07.pdf},
}
@inproceedings{MKRB-07,
author = {S. May and M. Klodt and E. Rome and R. Breithaupt},
title = {GPU-accelerated Affordance Cueing based on Visual Attention},
booktitle = {International Conference on Intelligent Robots and Systems (IROS 2007)},
year = {2007},
address = {San Diego, California},
}
@inproceedings{KKBC-07,
author = {K. Kolev and M. Klodt and T. Brox and D. Cremers},
title = {Propagated Photoconsistency and Convexity in Variational Multiview 3D Reconstruction},
booktitle = {Workshop on Photometric Analysis for Computer Vision},
year = {2007},
address = {Rio de Janeiro, Brazil},
month = {oct},
titleurl = {KKBC-07.pdf},
topic = {3D Reconstruction},
keywords = {3d-reconstruction, convex-relaxation},
}
@inproceedings{KKBEC-07,
author = {K. Kolev and M. Klodt and T. Brox and S. Esedoglu and D. Cremers},
title = {Continuous Global Optimization in Multiview 3D Reconstruction},
booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)},
year = {2007},
series = {LNCS},
volume = {4679},
pages = {441--452},
address = {Ezhou, China},
month = {aug},
publisher = {Springer},
titleurl = {KKBEC-07.pdf},
topic = {3D Reconstruction},
copyright = {{Springer-Verlag Berlin Heidelberg 2007}},
keywords = {3d-reconstruction, convex-relaxation},
}
@book{wedel-cremers-11,
author = {A. Wedel and D. Cremers},
title = {Stereoscopic Scene Flow for 3D Motion Analysis},
publisher = {Springer},
year = {2011},
keywords = {optic-flow,scene-flow},
doi = {http://www.springer.com/computer/image+processing/book/978-0-85729-964-2},
}
@book{foundations-09,
author = {E: D. Cremers and B. Rosenhahn and A. L. Yuille and F. R. Schmidt},
title = {Statistical and Geometrical Approaches to Visual Motion Analysis},
publisher = {Springer},
series = {LNCS},
volume = {5604},
year = {2009},
keywords = {optic-flow},
}
@techreport{CCP_08,
author = {A. Chambolle and D. Cremers and T. Pock},
title = {A Convex Approach for Computing Minimal Partitions},
institution = {Dept. of Computer Science, University of Bonn},
type = {Technical report},
number = {TR-2008-05},
address = {Bonn, Germany},
month = {nov},
titleurl = {minimal_partitions_08.pdf},
year = {2008},
topic = {Convex Relaxation Methods},
keywords = {convex-relaxation},
}
@techreport{BKC07,
author = {T. Brox and O. Kleinschmidt and D. Cremers},
title = {Iterated and Efficient Nonlocal Means for Denoising of Textural Patterns},
institution = {Dept. of Computer Science, University of Bonn},
type = {Technical report},
number = {TR-2007-04},
address = {Bonn, Germany},
month = {aug},
year = {2007},
}
@article{BKC08,
author = {T. Brox and O. Kleinschmidt and D. Cremers},
title = {Efficient Nonlocal Means for Denoising of Textural Patterns},
journal = {IEEE Transactions on Image Processing},
volume = {17},
number = {7},
pages = {1083--1092},
month = {jul},
year = {2008},
titleurl = {brox_kleinschmidt_cremers_tip08.pdf},
}
@inproceedings{Kleinschmidt-et-al-08,
author = {O. Kleinschmidt and T. Brox and D. Cremers},
title = {Nonlocal texpaperture filtering with efficient tree structures and invariant patch similarity measures},
booktitle = {Int. Workshop on Local and Nonlocal Approximation},
month = {aug},
year = {2008},
address = {Lausanne, Switzerland},
titleurl = {kleinschmidt_et_al_lnla08.pdf},
}
@inproceedings{BRCS07,
author = {T. Brox and B. Rosenhahn and D. Cremers and H.-P. Seidel},
title = {Nonparametric density estimation with adaptive anisotropic kernels for human motion tracking},
booktitle = {Proc. 2nd International Workshop on Human Motion},
editor = {A. Elgammal and B. Rosenhahn and R. Klette},
address = {Rio de Janeiro, Brazil},
series = {LNCS},
volume = {4814},
publisher = {Springer},
month = {oct},
year = {2007},
pages = {152-165},
topic = {3DTracking},
titleurl = {BroxICCVHMWS07.pdf},
keywords = {tracking},
}
@inproceedings{Schoenemann-Cremers-07a,
author = {T. Schoenemann and D. Cremers},
title = {Globally Optimal Image Segmentation with an Elastic Shape Prior},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2007},
address = {Rio de Janeiro, Brazil},
month = {oct},
keywords = {shape-priors},
titleurl = {shape_iccv07.pdf},
topic = {Shape, Segmentation, Graph, Shape Priors},
}
@inproceedings{Schoenemann-Cremers-07b,
author = {T. Schoenemann and D. Cremers},
title = {Introducing Curvature into Globally Optimal Image
Segmentation: Minimum Ratio Cycles on Product
Graphs},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2007},
address = {Rio de Janeiro, Brazil},
month = {oct},
titleurl = {curv_iccv07.pdf},
topic = {Segmentation, Graph},
}
@inproceedings{SFC-07,
author = {F. R. Schmidt and D Farin and D. Cremers},
title = {Fast Matching of Planar Shapes in Sub-cubic Runtime},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2007},
address = {Rio de Janeiro, Brazil},
month = {oct},
keywords = {shape-analysis},
titleurl = {SFC-07.pdf},
topic = {Shape Analysis},
}
@inproceedings{STCB-07a,
author = {F. R. Schmidt and E. Toeppe and D. Cremers and Y. Boykov},
title = {Intrinsic Mean for Semimetrical Shape Retrieval via Graph Cuts},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2007},
series = {LNCS},
volume = {4713},
pages = {446--455},
address = {Heidelberg, Germany},
month = {sep},
publisher = {Springer},
keywords = {shape-analysis},
titleurl = {STCB-07a.pdf},
topic = {Shape Analysis},
copyright = {{Springer-Verlag Berlin Heidelberg 2007}},
}
@inproceedings{WF07,
author = {A. Wedel and U. Franke},
title = {Monocular Video Serves RADAR-based Emergency Braking},
booktitle = {Intelligent Vehicles},
address = {Istanbul, Turkey},
month = {jun},
year = {2007},
topic = {ObstacleSegmentation},
titleurl = {wedel_iv07.pdf},
}
@inproceedings{WSBC07,
author = {A. Wedel and T. Schoenemann and T. Brox and D. Cremers},
title = {WarpCut - Fast obstacle segmentation in monocular video},
booktitle = {Pattern Recognition (Proc. DAGM)},
address = {Heidelberg, Germany},
series = {LNCS},
publisher = {Springer},
month = {sep},
year = {2007},
titleurl = {wedel_dagm07.pdf},
topic = {ObstacleSegmentation},
copyright = {{Springer-Verlag Berlin Heidelberg 2007}},
}
@inproceedings{SRBC+07a,
author = {C. Schmaltz and B. Rosenhahn and T. Brox and D. Cremers and J. Weickert and L. Wietzke and G. Sommer},
title = {Occlusion Modeling by Tracking Multiple Objects},
booktitle = {Pattern Recognition (Proc. DAGM)},
address = {Heidelberg, Germany},
series = {LNCS},
publisher = {Springer},
month = {sep},
year = {2007},
topic = {3DTracking},
keywords = {tracking},
titleurl = {schmaltz_et_al_dagm07.pdf},
}
@inproceedings{RBCS07,
author = {B. Rosenhahn and T. Brox and D. Cremers and H.-P. Seidel},
title = {Online smoothing for markerless motion capture},
booktitle = {Pattern Recognition (Proc. DAGM)},
address = {Heidelberg, Germany},
series = {LNCS},
publisher = {Springer},
month = {sep},
year = {2007},
topic = {3DTracking},
keywords = {tracking},
titleurl = {Rosenhahn_et_al_dagm07.pdf},
}
@inproceedings{STCB-07,
author = {F. R. Schmidt and E. Toeppe and D. Cremers and Y. Boykov},
title = {Efficient Shape Matching via Graph Cuts},
booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)},
year = {2007},
series = {LNCS},
volume = {4679},
pages = {39--54},
address = {Ezhou, China},
month = {aug},
publisher = {Springer},
keywords = {shape-analysis},
titleurl = {STCB-07.pdf},
topic = {Shape Analysis},
copyright = {{Springer-Verlag Berlin Heidelberg 2007}},
}
@inproceedings{RBS07,
author = {B. Rosenhahn and T. Brox and H.-P. Seidel},
title = {Scaled motion dynamics for markerless motion capture},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2007},
titleurl = {RBS_cvpr07.pdf},
keywords = {tracking},
topic = {3DTracking},
}
@inproceedings{Cremers07,
author = {D. Cremers},
title = {Nonlinear Dynamical Shape Priors for Level Set Segmentation},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2007},
titleurl = {cremers_cvpr07.pdf},
keywords = {shape-priors},
topic = {Level Sets, Tracking, Shape Priors, Segmentation},
}
@article{Cremers-jsc08,
author = {D. Cremers},
title = {Nonlinear Dynamical Shape Priors for Level Set Segmentation},
journal = {Journal of Scientific Computing},
volume = {35},
number = {2-3},
pages = {132--143},
year = {2008},
month = {jun},
titleurl = {cremers_jsc08.pdf},
keywords = {shape-priors},
topic = {Level Sets, Tracking, Shape Priors, Segmentation},
}
@incollection{BRC07,
author = {T. Brox and B. Rosenhahn and D. Cremers},
title = {Contours, optic flow, and prior knowledge: cues for capturing {3D} human motion in videos},
booktitle = {Human Motion - Understanding, Modeling, Capture, and Animation},
publisher = {Springer},
year = {2007},
titleurl = {Brox_et_al_HMBook07.pdf},
keywords = {tracking},
topic = {3DTracking, Statistics, Pose Estimation, Machine Learning, Tracking},
}
@incollection{Chambolle-et-al-10,
author = {A. Chambolle and V. Caselles and D. Cremers and M. Novaga and T. Pock},
title = {An Introduction to Total Variation for Image Analysis},
booktitle = {Theoretical Foundations and Numerical Methods for Sparse Recovery},
publisher = {De Gruyter},
year = {2010},
titleurl = {Chambolle_et_al_10.pdf},
}
@incollection{Cremers-et-al-11,
author = {D. Cremers and T. Pock and K. Kolev and A. Chambolle},
title = {Convex Relaxation Techniques for Segmentation, Stereo and Multiview Reconstruction},
booktitle = {Markov Random Fields for Vision and Image Processing},
publisher = {MIT Press},
year = {2011},
titleurl = {cremers_et_al_mrf2011.pdf},
keywords = {3d-reconstruction, convex-relaxation},
topic = {Convex Relaxation Methods},
}
@incollection{Cremers-11,
author = {D. Cremers},
title = {Image Segmentation with Shape Priors: Explicit Versus Implicit Representations},
booktitle = {Handbook of Mathematical Methods in Imaging},
publisher = {Springer},
year = {2011},
pages = {1453-1487},
titleurl = {cremers_handbook2011.pdf},
keywords = {shape, segmentation},
topic = {Shape},
}
@incollection{Klodt-et-al-13,
author = {M. Klodt and F. Steinbruecker and D. Cremers},
title = {Moment Constraints in Convex Optimization for Segmentation and Tracking},
booktitle = {Advanced Topics in Computer Vision},
publisher = {Springer},
year = {2013},
titleurl = {Klodt-et-al-13.pdf},
keywords = {segmentation, convex-relaxation, medical imaging},
topic = {Convex Relaxation Methods, Segmentation},
}
@incollection{RKPBS07,
author = {B. Rosenhahn and U. Kersting and K. Powell and T. Brox and H. P. Seidel},
title = {Tracking clothed people},
booktitle = {Human Motion - Understanding, Modeling, Capture, and Animation},
publisher = {Springer},
year = {2007},
titleurl = {Rosenhahn_et_al_HMBook07.pdf},
topic = {Pose Estimation, Tracking},
}
@inproceedings{BC07a,
author = {T. Brox and D. Cremers},
title = {On the Statistical Interpretation of the Piecewise Smooth {M}umford-{S}hah Functional},
booktitle = {Proc. International Conference on Scale Space and Variational Methods in Computer Vision},
editor = {F. Sgallari and A. Murli and N. Paragios},
series = {LNCS},
volume = {4485},
pages = {203--213},
publisher = {Springer},
year = {2007},
month = {may},
address = {Ischia, Italy},
titleurl = {brox_cremers_ssvm07_seg.pdf},
topic = {Statistics, Segmentation},
copyright = {{Springer-Verlag Berlin Heidelberg 2007}},
}
@inproceedings{BC07b,
author = {T. Brox and D. Cremers},
title = {Iterated Nonlocal Means for Texture Restoration},
booktitle = {Proc. International Conference on Scale Space and Variational Methods in Computer Vision},
editor = {F. Sgallari and A. Murli and N. Paragios},
series = {LNCS},
volume = {4485},
pages = {13--24},
publisher = {Springer},
year = {2007},
month = {may},
address = {Ischia, Italy},
titleurl = {brox_cremers_ssvm07_denoising.pdf},
topic = {Image Enhancement, Texture},
copyright = {{Springer-Verlag Berlin Heidelberg 2007}},
}
@inproceedings{SRBC+07,
author = {C. Schmaltz and B. Rosenhahn and T. Brox and D. Cremers and J. Weickert and L. Wietzke and G. Sommer},
title = {Region-based Pose Tracking},
booktitle = {Proc. 3rd Iberian Conference on Pattern Recognition and Image Analysis},
series = {LNCS},
publisher = {Springer},
year = {2007},
month = {jun},
address = {Girona, Spain},
titleurl = {schmaltz_et_al_ibpria07.pdf},
keywords = {tracking},
topic = {3DTracking, Pose Estimation, Tracking},
}
@inproceedings{GRBKS06,
author = {J. Gall and B. Rosenhahn and T. Brox and U. Kersting and H.-P. Seidel},
title = {Learning for multi-view {3D} tracking in the context of particle filters},
booktitle = {Advances in Visual Computing},
series = {LNCS},
volume = {4292},
pages = {59--69},
publisher = {Springer},
year = {2006},
month = {nov},
address = {Lake Tahoe, NV},
titleurl = {gall_avc06.pdf},
topic = {Tracking, Statistics, Machine Learning},
}
@article{RBW07,
author = {B. Rosenhahn and T. Brox and J. Weickert},
title = {Three-dimensional shape knowledge for joint image segmentation and pose tracking},
journal = {International Journal of Computer Vision},
volume = {73},
number = {3},
pages = {243--262},
month = {jul},
year = {2007},
preprint = {{Revised version of Technical Report
No. 163, Centre for Imaging Technology and Robotics, University of Auckland,
New Zealand, August 2005.}},
topic = {3DTracking, Shape},
keywords = {tracking},
}
@article{Brox-Cremers-ijcv09,
author = {T. Brox and D. Cremers},
title = {On local region models and a statistical interpretation of
the piecewise smooth Mumford-Shah functional},
journal = {International Journal of Computer Vision},
year = {2009},
volume = {84},
number = {2},
pages = {184--193},
titleurl = {brox_cremers_ijcv09.pdf},
topic = {Segmentation},
preprint = {{Shorter version of a technical report.}},
}
@article{Goldluecke-et-al-ijcv14,
author = {B. Goldluecke and M. Aubry and K. Kolev and D. Cremers},
title = {A Super-resolution Framework for High-Accuracy Multiview Reconstruction},
journal = {International Journal of Computer Vision},
year = {2014},
month = {jan},
volume = {106},
number = {2},
pages = {172-191},
keywords = {convex-relaxation},
titleurl = {goldluecke-et-al-ijcv14.pdf},
}
@article{Wedel-et-al-ijcv11,
author = {A. Wedel and T. Brox and T. Vaudrey and C. Rabe and U. Franke and D. Cremers},
title = {Stereoscopic Scene Flow Computation for 3D Motion Understanding},
journal = {International Journal of Computer Vision},
year = {2011},
volume = {95},
number = {1},
pages = {29--51},
titleurl = {wedel_et_al_ijcv11.pdf},
keywords = {optical-flow,scene-flow},
}
@article{KBFW07,
author = {Y.-J. Kim and T. Brox and W. Feiden and J. Weickert},
title = {Fully automated segmentation and morphometrical analysis of muscle fibre images},
journal = {Cytometry Part A},
volume = {71},
number = {1},
pages = {8--15},
month = {jan},
year = {2007},
preprint = {{Revised version of Preprint No. 177,
Department of Mathematics, Saarland University, Saarbr{\"u}cken,
Germany, July 2006.}},
topic = {Segmentation, Medical Image Analysis},
}
@inproceedings{FRS-et-al-06,
author = {F. R. Schmidt and M. Clausen and D. Cremers},
title = {Shape Matching by Variational Computation of Geodesics on a Manifold},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2006},
series = {LNCS},
volume = {4174},
pages = {142--151},
address = {Berlin, Germany},
month = {sep},
publisher = {Springer},
keywords = {shape-analysis},
titleurl = {FRS-et-al-06.pdf},
topic = {Shape Analysis},
copyright = {{Springer-Verlag Berlin Heidelberg 2006}},
}
@inproceedings{SC06,
author = {T. Schoenemann and D. Cremers},
title = {Near Real-time Motion Segmentation using Graph Cuts},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2006},
series = {LNCS},
volume = {4174},
pages = {455--464},
address = {Berlin, Germany},
month = {sep},
publisher = {Springer},
titleurl = {sc_dagm2006.pdf},
topic = {Motion Segmentation, Discrete Optimization, Motion},
copyright = {{Springer-Verlag Berlin Heidelberg 2006}},
}
@inproceedings{Cremers-04,
author = {D. Cremers},
title = {Bayesian Approaches to Motion-based Image and Video Segmentation},
booktitle = {1st Int. Workshop on Complex Motion},
year = {2004},
series = {LNCS},
volume = {3417},
pages = {106--125},
address = {Schloss Reisensburg, Germany},
month = {oct},
publisher = {Springer},
titleurl = {cremers_iwcm04.pdf},
topic = {Motion Segmentation, Level Sets, Motion},
copyright = {{Springer-Verlag Berlin Heidelberg 2004}},
}
@inproceedings{BRKC06,
author = {T. Brox and B. Rosenhahn and U. Kersting and D. Cremers},
title = {Nonparametric density estimation for human pose tracking},
booktitle = {Pattern Recognition (Proc. DAGM)},
editor = {K. Franke et al.},
year = {2006},
series = {LNCS},
volume = {4174},
pages = {546--555},
address = {Berlin, Germany},
month = {sep},
publisher = {Springer},
preprint = {{Revised version of Preprint No. 5-06,
Department of Computer Science, University of Bonn, Germany, April 2006.}},
titleurl = {brox_dagm06},
keywords = {tracking},
topic = {3DTracking, Pose Estimation, Machine Learning, Tracking},
copyright = {{Springer-Verlag Berlin Heidelberg 2006}},
}
@inproceedings{KBC06,
author = {K. Kolev and T. Brox and D. Cremers},
title = {Robust variational segmentation of {3D} objects from multiple views},
booktitle = {Pattern Recognition (Proc. DAGM)},
editor = {K. Franke et al.},
year = {2006},
series = {LNCS},
volume = {4174},
pages = {688--697},
address = {Berlin, Germany},
month = {sep},
publisher = {Springer},
titleurl = {kolev_dagm06.pdf},
topic = {3D Reconstruction},
copyright = {{Springer-Verlag Berlin Heidelberg 2006}},
keywords = {3d-reconstruction},
}
@inproceedings{WFKBC06,
author = {A. Wedel and U. Franke and J. Klappstein and T. Brox and D. Cremers},
title = {Realtime depth estimation and obstacle detection from monocular video},
booktitle = {Pattern Recognition (Proc. DAGM)},
editor = {K. Franke et al.},
year = {2006},
series = {LNCS},
volume = {4174},
pages = {475--484},
address = {Berlin, Germany},
month = {sep},
publisher = {Springer},
titleurl = {wedel_dagm06.pdf},
topic = {ObstacleSegmentation},
copyright = {{Springer-Verlag Berlin Heidelberg 2006}},
}
@incollection{Bergtholdt-et-al-06,
author = {M. Bergtholdt and D. Cremers and C. Schnörr},
title = {Variational segmentation with shape priors},
booktitle = {Handbook of {M}athematical {M}odels in {C}omputer {V}ision},
publisher = {Springer},
year = {2005},
editor = {N. Paragios, Y. Chen, O. Faugeras},
topic = {Segmentation, Shape, Statistics, Machine Learning},
}
@inproceedings{Boykov-et-al-06,
author = {Y. Boykov and V. Kolmogorov and D. Cremers and A. Delong},
title = {An integral solution to surface evolution {PDE}s via {G}eo-{C}uts},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2006},
volume = {3953},
editor = {A. Leonardis and H. Bischof and A. Pinz},
series = {LNCS},
pages = {409--422},
address = {Graz, Austria},
month = {may},
publisher = {Springer},
copyright = {{Springer-Verlag
Berlin Heidelberg 2006}},
keywords = {graph cuts, pdes, contour evolution},
titleurl = {boykov_et_al_eccv06.pdf},
topic = {Graph, Segmentation},
}
@inproceedings{BBSW05,
author = {M. Breuß and T. Brox and T. Sonar and J. Weickert},
title = {Stabilised nonlinear inverse diffusion for approximating hyperbolic
{PDE}s},
booktitle = {Scale {S}pace and {PDE} {M}ethods in {C}omputer {V}ision},
year = {2005},
editor = {R. Kimmel and N. Sochen and J. Weickert},
number = {3459},
series = {LNCS},
pages = {536--547},
address = {Hofgeismar, Germany},
month = {apr},
publisher = {Springer},
copyright = {{Springer-Verlag
Berlin Heidelberg 2005}},
titleurl = {breuss_ss05.pdf},
topic = {Fluid Dynamics},
}
@phdthesis{Br05,
author = {T. Brox},
title = {From pixels to regions: partial differential equations in image analysis},
school = {Faculty of Mathematics and Computer Science, Saarland University},
year = {2005},
address = {Germany},
month = {apr},
titleurl = {brox_PhDThesis.pdf},
topic = {Image Enhancement, Texture, Optic Flow, Segmentation, Level Sets, Motion},
}
@mastersthesis{Br02,
author = {T. Brox},
title = {Smoothing of matrix-valued data},
school = {Department of Mathematics and Computer Science, University of Mannheim},
year = {2002},
address = {Germany},
month = {may},
titleurl = {brox_DiplomaThesis.pdf},
topic = {Image Enhancement, Optic Flow},
}
@mastersthesis{We06,
author = {A. Wedel},
title = {Detektion stationaerer Hindernisse in monokularen Bildsequenzen},
month = {April},
year = {2006},
address = {Germany},
school = {Computer Vision Group, University of Bonn},
topic = {ObstacleSegmentation},
titleurl = {wedel_diploma_thesis.pdf},
}
@incollection{BBL05,
author = {T. Brox and R. van den Boomgaard and F. B. Lauze and J. van de Weijer and J. Weickert and P. Mrázek and P. Kornprobst},
title = {Adaptive structure tensors and their applications},
booktitle = {Visualization and {P}rocessing of {T}ensor {F}ields},
publisher = {Springer},
year = {2006},
editor = {J. Weickert and H. Hagen},
pages = {17--47},
month = {jan},
preprint = {{Revised version of Preprint No. 141,
Department of Mathematics, Saarland University, Saarbr{\"u}cken,
Germany, June 2005.}},
topic = {Texture, Optic Flow, Feature Detection},
keywords = {optical-flow},
}
@inproceedings{BBPW04,
author = {T. Brox and A. Bruhn and N. Papenberg and J. Weickert},
title = {High accuracy optical flow estimation based on a theory for warping},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2004},
editor = {T. Pajdla and J. Matas},
volume = {3024},
series = {LNCS},
pages = {25--36},
address = {Prague, Czech Republic},
month = {may},
publisher = {Springer},
award = {{Received "The Longuet-Higgins
Best Paper Award"}},
copyright = {{Springer-Verlag
Berlin Heidelberg 2004}},
titleurl = {brox_eccv04_of.pdf},
keywords = {shape-priors, optical-flow},
topic = {Optic Flow, Motion},
}
@inproceedings{RBCS06,
author = {B. Rosenhahn and T. Brox and D. Cremers and H.-P. Seidel},
title = {A comparison of shape matching methods for contour based pose estimation},
booktitle = {Proc. {I}nternational {W}orkshop on {C}ombinatorial {I}mage {A}nalysis},
editor = {R. Reulke and U. Eckhardt and B. Flach and U. Knauer and K. Polthier},
year = {2006},
series = {LNCS},
volume = {4040},
pages = {263--276},
address = {Berlin, Germany},
month = {jun},
publisher = {Springer},
topic = {Pose Estimation, Correspondence, Tracking},
titleurl = {rosenhahn_iwcia06.pdf},
copyright = {{Springer-Verlag
Berlin Heidelberg 2006}},
}
@inproceedings{BBW06,
author = {T. Brox and A. Bruhn and J. Weickert},
title = {Variational motion segmentation with level sets},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2006},
editor = {A. Leonardis and H. Bischof and A. Pinz},
volume = {3951},
series = {LNCS},
pages = {471--483},
address = {Graz, Austria},
month = {may},
publisher = {Springer},
copyright = {{Springer-Verlag
Berlin Heidelberg 2006}},
titleurl = {brox_eccv06_of.pdf},
topic = {Optic Flow, Segmentation, Level Sets, Motion},
keywords = {optical-flow, segmentation},
}
@inproceedings{BFW01,
author = {T. Brox and D. Farin and P. H. N. de With},
title = {Multi-stage region merging for image segmentation},
booktitle = {Proc. 22nd {S}ymposium on {I}nformation and {C}ommunication {T}heory
in the {B}enelux},
year = {2001},
pages = {189--196},
address = {Enschede, The Netherlands},
month = {may},
award = {Received the best paper award},
titleurl = {brox_wic01.pdf},
topic = {Segmentation},
}
@inproceedings{BRCS06,
author = {T. Brox and B. Rosenhahn and D. Cremers and H.-P. Seidel},
title = {High accuracy optical flow serves 3-{D} pose tracking: exploiting
contour and flow based constraints},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2006},
editor = {A. Leonardis and H. Bischof and A. Pinz},
volume = {3952},
series = {LNCS},
pages = {98--111},
address = {Graz, Austria},
month = {may},
publisher = {Springer},
copyright = {{Springer-Verlag
Berlin Heidelberg 2006}},
titleurl = {brox_eccv06_pose.pdf},
keywords = {tracking},
topic = {3DTracking, Optic Flow, Segmentation, Pose Estimation, Level Sets},
}
@inproceedings{BKWF06,
author = {T. Brox and Y.-J. Kim and J. Weickert and W. Feiden},
title = {Fully-automated analysis of muscle fiber images with combined region
and edge based active contours},
booktitle = {Bildverarbeitung in der {M}edizin},
pages = {86--90},
year = {2006},
address = {Hamburg, Germany},
month = {mar},
publisher = {Springer},
titleurl = {brox_bvm06.pdf},
topic = {Segmentation, Medical Image Analysis},
}
@inproceedings{BRW05,
author = {T. Brox and B. Rosenhahn and J. Weickert},
title = {Three-dimensional shape knowledge for joint image segmentation and
pose estimation},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2005},
editor = {W. Kropatsch and R. Sablatnig and A. Hanbury},
volume = {3663},
series = {LNCS},
pages = {109--116},
address = {Vienna, Austria},
month = {aug},
publisher = {Springer},
copyright = {{Springer-Verlag
Berlin Heidelberg 2005}},
titleurl = {brox_dagm05.pdf},
topic = {Segmentation, Pose Estimation, Tracking, Shape},
}
@inproceedings{BRDW03,
author = {T. Brox and M. Rousson and R. Deriche and J. Weickert},
title = {Unsupervised segmentation incorporating colour, texture, and motion},
booktitle = {Computer Analysis of Images and Patterns},
year = {2003},
editor = {N. Petkov and M. A. Westenberg},
volume = {2756},
series = {LNCS},
pages = {353--360},
address = {Groningen, The Netherlands},
month = {aug},
publisher = {Springer},
copyright = {{Springer-Verlag
Berlin Heidelberg 2003}},
titleurl = {brox_caip03.pdf},
topic = {Segmentation, Tracking, Statistics, Level Sets},
}
@techreport{BRDW05,
author = {T. Brox and M. Rousson and R. Deriche and J. Weickert},
title = {Colour, texture, and motion in level set based segmentation and tracking},
institution = {Dept. of Mathematics, Saarland University},
year = {2005},
type = {Technical report},
number = {147},
address = {Saarbr{\"u}cken, Germany},
month = {aug},
titleurl = {brox_pp147.pdf},
topic = {Segmentation, Tracking, Statistics, Level Sets},
}
@inproceedings{BW02,
author = {T. Brox and J. Weickert},
title = {Nonlinear matrix diffusion for optic flow estimation},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2002},
editor = {L. van Gool},
volume = {2449},
series = {LNCS},
pages = {446--453},
address = {Z{\"u}rich, Switzerland},
month = {sep},
publisher = {Springer},
copyright = {{Springer-Verlag
Berlin Heidelberg 2002}},
titleurl = {brox_dagm02.pdf},
topic = {Optic Flow, Motion},
keywords = {optical-flow},
}
@inproceedings{Keuchel-et-al-02,
author = {J. Keuchel and C. Schnoerr and C. Schellewald and D. Cremers},
title = {Unsupervised Image Partitioning with Semidefinite
Programmifng},
booktitle = {Pattern Recognition},
editor = {van Gool, L.},
publisher = {Springer},
series = {LNCS},
volume = {2449},
year = {2002},
titleurl = {keuchel_et_al_02.pdf},
address = {Z{\"u}rich},
month = {Sept.},
pages = {141--149},
keywords = {convex-relaxation},
}
@inproceedings{BW04a,
author = {T. Brox and J. Weickert},
title = {A {TV} flow based local scale measure for texture discrimination},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2004},
editor = {T. Pajdla and J. Matas},
volume = {3022},
series = {LNCS},
pages = {578--590},
address = {Prague, Czech Republic},
month = {may},
publisher = {Springer},
copyright = {{Springer-Verlag
Berlin Heidelberg 2004}},
titleurl = {brox_eccv04_scale.pdf},
topic = {Texture, Segmentation},
}
@inproceedings{BW04b,
author = {T. Brox and J. Weickert},
title = {Level set based segmentation of multiple objects},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2004},
editor = {C.E. Rasmussen and H.H. B{\"u}lthoff and M.A. Giese and B. Sch{\"o}lkopf},
volume = {3175},
series = {LNCS},
pages = {415--423},
address = {T{\"u}bingen, Germany},
month = {aug},
publisher = {Springer},
copyright = {{Springer-Verlag
Berlin Heidelberg 2004}},
titleurl = {brox_dagm04.pdf},
topic = {Segmentation, Level Sets},
}
@article{BW06,
author = {T. Brox and J. Weickert},
title = {Level Set Segmentation with Multiple Regions},
journal = {IEEE Transactions on Image Processing},
volume = {15},
number = {10},
pages = {3213--3218},
month = {oct},
year = {2006},
preprint = {{Revised version of Preprint No. 145,
Department of Mathematics, Saarland University, Saarbr{\"u}cken,
Germany, July 2005.}},
topic = {Segmentation, Level Sets},
}
@article{BW05,
author = {T. Brox and J. Weickert},
title = {A {TV} flow based local scale estimate and its application to texture
discrimination},
journal = {Journal of Visual Communication and Image Representation},
volume = {17},
number = {5},
pages = {1053--1073},
month = {oct},
year = {2006},
preprint = {{Revised version of Preprint No. 134,
Department of Mathematics, Saarland University, Saarbr{\"u}cken,
Germany, April 2005.}},
topic = {Texture, Segmentation},
}
@inproceedings{BWSW03,
author = {T. Brox and M. Welk and G. Steidl and J. Weickert},
title = {Equivalence results for {TV} diffusion and {TV} regularisation},
booktitle = {Scale-{S}pace {M}ethods in {C}omputer {V}ision},
year = {2003},
editor = {L. D. Griffin and M. Lillholm},
volume = {2695},
series = {LNCS},
pages = {86--100},
address = {Isle of Skye, UK},
month = {jun},
publisher = {Springer},
copyright = {{Springer-Verlag
Berlin Heidelberg 2003}},
titleurl = {brox_ss03.pdf},
topic = {Image Enhancement},
}
@inproceedings{Cremers-03,
author = {D. Cremers},
title = {A variational framework for image segmentation combining motion estimation
and shape regularization},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2003},
editor = {C. Dyer and P. Perona},
volume = {1},
pages = {53--58},
month = {June},
titleurl = {cvpr03.pdf},
topic = {Optic Flow, Segmentation, Motion},
}
@inproceedings{Cremers-03b,
author = {D. Cremers},
title = {A multiphase level set framework for variational motion segmentation},
booktitle = {Scale-{S}pace {M}ethods in {C}omputer {V}ision},
year = {2003},
editor = {L. D. Griffin and M. Lillholm},
volume = {2695},
series = {LNCS},
pages = {599--614},
address = {Isle of Skye},
publisher = {Springer},
titleurl = {cremers_scalespace03.pdf},
topic = {Segmentation, Shape, Statistics, Motion},
}
@article{Cremers-06,
author = {D. Cremers},
title = {Dynamical statistical shape priors for level set based tracking},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {2006},
volume = {28},
number = {8},
pages = {1262--1273},
month = {aug},
keywords = {shape-priors},
titleurl = {cremers_pami06.pdf},
topic = {Level Sets, Shape Priors, Segmentation, Tracking},
}
@article{Brox-et-al-pami09,
author = {T. Brox and B. Rosenhahn and J. Gall and D. Cremers},
title = {Combined region- and motion-based 3D tracking of rigid and
articulated objects},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {2009},
volume = {32},
number = {3},
pages = {402-415},
keywords = {tracking,shape-priors},
titleurl = {brox_et_al_pami09.pdf},
topic = {Level Sets, Shape Priors, 3DTracking},
}
@article{Schoenemann-Cremers-pami10,
author = {T. Schoenemann and D. Cremers},
title = {A Combinatorial Solution for Model-based Image Segmentation
and Real-time Tracking},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {2010},
volume = {32},
number = {7},
pages = {1153--1164},
titleurl = {schoenemann_cremers_pami10.pdf},
topic = {Segmentation},
}
@article{Schoenemann-Cremers-tip12,
author = {T. Schoenemann and D. Cremers},
title = {A Coding Cost Framework for Super-resolution Motion Layer Decomposition},
journal = {IEEE Transactions on Image Processing},
year = {2012},
month = {March},
volume = {21},
number = {3},
pages = {1097--1110},
titleurl = {schoenemann_cremers_tip12.pdf},
topic = {Segmentation},
}
@article{Schoenemann-et-al-tip11,
author = {T. Schoenemann and S. Masnou and D. Cremers},
title = {The Elastic Ratio: Introducing Curvature into Ratio-Based Globally Optimal Image Segmentation},
journal = {IEEE Transactions on Image Processing},
year = {2011},
volume = {20},
number = {9},
pages = {2565--2581},
titleurl = {schoenemann_et_al_tip11.pdf},
topic = {Segmentation},
}
@article{Schoenemann-et-al-ijcv12,
author = {T. Schoenemann and F. Kahl and S. Masnou and D. Cremers},
title = {A linear framework for region-based image segmentation and inpainting involving curvature penalization},
journal = {International Journal of Computer Vision},
year = {2012},
month = {aug},
volume = {99},
issue = {1},
pages = {53--68},
titleurl = {schoenemann_et_al_ijcv12.pdf},
topic = {Segmentation},
keywords = {segmentation, curvature},
}
@article{Cremers-07b,
author = {D. Cremers},
title = {Computer Lernen Sehen},
journal = {Industrial Vision},
year = {2007},
volume = {2},
pages = {60},
titleurl = {cremers_industrial_vision_07.pdf},
}
@phdthesis{Cremers-diss-online,
author = {D. Cremers},
title = {Statistical shape knowledge in variational image segmentation},
school = {Department of Mathematics and Computer Science, University of Mannheim,
Germany},
year = {2002},
titleurl = {cremers_dissertation.pdf},
topic = {Segmentation, Shape, Statistics, Optic Flow, Motion},
}
@inproceedings{Cremers-Grady-06,
author = {D. Cremers and L. Grady},
title = {Statistical priors for combinatorial optimization:
efficient solutions via {G}raph {C}uts},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2006},
editor = {A. Leonardis and H. Bischof and A. Pinz},
volume = {3953},
series = {LNCS},
pages = {263--274},
address = {Graz, Austria},
month = {may},
publisher = {Springer},
copyright = {{Springer-Verlag
Berlin Heidelberg 2006}},
keywords = {image-segmentation,shape,Parzen,parametric,2d cardiac ultrasound,3d
ct prostate},
titleurl = {cremers_grady_eccv06.pdf},
topic = {Statistics, Texture},
}
@article{Cremers-et-al-ijcv07,
author = {D. Cremers and M. Rousson and R. Deriche},
title = {A review of statistical approaches to level set
segmentation: integrating color, texture, motion and
shape},
journal = {International Journal of Computer Vision},
year = {2007},
volume = {72},
number = {2},
pages = {195--215},
month = {apr},
titleurl = {cremers_rousson_deriche_ijcv07.pdf},
keywords = {shape-priors, medical imaging},
topic = {Segmentation, Statistics, Shape Priors, Level Sets, Motion},
}
@article{Kolev-et-al-ijcv09,
author = {K. Kolev and M. Klodt and T. Brox and D. Cremers},
title = {Continuous Global Optimization in Multiview 3D Reconstruction},
journal = {International Journal of Computer Vision},
year = {2009},
month = {August},
volume = {84},
number = {1},
pages = {80--96},
titleurl = {Kolev-et-al-ijcv09.pdf},
topic = {3D Reconstruction, Convex Relaxation Methods},
keywords = {3d-reconstruction,3drec,convex-relaxation},
}
@inproceedings{Cremers-et-al-06c,
author = {D. Cremers and C. Guetter and C. Xu},
title = {Nonparametric priors on the space of joint intensity distributions for non-rigid multi-modal image registration},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2006},
month = {June},
pages = {1777--1783},
volume = {2},
titleurl = {cremers_et_al_cvpr06.pdf},
topic = {Optic Flow, Medical Image Analysis, Correspondence, Motion},
keywords = {medical imaging},
}
@article{Cremers-Herz-02,
author = {D. Cremers and A. V. M. Herz},
title = {Travelling waves of exitation in neural field models: {E}quivalence
of rate descriptions and integrate-and-fire dynamics},
journal = {Neural Computation},
year = {2002},
volume = {14},
pages = {1651--1667},
number = {7},
titleurl = {nc_02.pdf},
topic = {Neural Field Models},
keywords = {biology},
}
@incollection{Cremers-Kohlberger-06,
author = {D. Cremers and T. Kohlberger},
title = {Probabilistic kernel {PCA} and its application to statistical shape
modeling and inference},
booktitle = {Kernel {M}ethods in {B}ioengineering, {S}ignal and {I}mage {P}rocessing},
publisher = {Idea Group Inc.},
year = {2006},
editor = {G. Camps-Valls et al.},
topic = {Segmentation, Shape, Statistics, Machine Learning},
}
@inproceedings{Cremers-et-al-02,
author = {D. Cremers and T. Kohlberger and C. Schnörr},
title = {Nonlinear shape statistics in {M}umford--{S}hah based segmentation},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2002},
editor = {A. Heyden and others},
volume = {2351},
series = {LNCS},
pages = {93--108},
address = {Copenhagen},
month = {May},
publisher = {Springer},
titleurl = {cremers_eccv02.pdf},
keywords = {shape-priors},
topic = {Segmentation, Statistics, Shape Priors, Machine Learning},
}
@inproceedings{Cremers-et-al-01b,
author = {D. Cremers and T. Kohlberger and C. Schnörr},
title = {Nonlinear shape statistics via kernel spaces},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2001},
editor = {B. Radig and S. Florczyk},
volume = {2191},
series = {LNCS},
pages = {269--276},
address = {Munich, Germany},
month = {Sept.},
publisher = {Springer},
titleurl = {dagm01_cremers.pdf},
topic = {Shape, Statistics, Machine Learning},
}
@inproceedings{Keuchel-et-al-01,
author = {J. Keuchel and C. Schellewald and D. Cremers and C. Schnoerr},
title = {Convex Relaxations for Binary Image Partitioning
and Perceptual Grouping},
booktitle = {Pattern Recognition},
editor = {Radig, B. and Florczyk, S.},
publisher = {Springer},
series = {LNCS},
volume = {2191},
year = {2001},
award = {Received a DAGM Paper Award},
address = {Munich, Germany},
month = {Sept.},
pages = {353--360},
keywords = {convex-relaxation},
}
@article{Cremers-et-al-03hd,
author = {D. Cremers and T. Kohlberger and C. Schnörr},
title = {Shape {S}tatistics in {K}ernel {S}pace for {V}ariational {I}mage
{S}egmentation},
journal = {Pattern {R}ecognition},
year = {2003},
volume = {36},
pages = {1929--1943},
number = {9},
award = {Awarded Best Paper of the Year 2003},
titleurl = {nonlinear_pr03.pdf},
keywords = {shape-priors},
topic = {Shape Priors, Statistics, Machine Learning, Segmentation},
}
@inproceedings{Cremers-Funkalea-05,
author = {D. Cremers and G. Funka-Lea},
title = {Dynamical statistical shape priors for level set based tracking},
booktitle = {Intl. {W}orkshop on {V}ariational and {L}evel {S}et {M}ethods},
year = {2005},
editor = {N. Paragios and F. Faugeras and T. Chan and C. Schn{\"o}rr},
volume = {3752},
series = {LNCS},
publisher = {Springer},
keywords = {dynamical shape priors},
titleurl = {cremers_funkalea_05.pdf},
topic = {Shape Priors, Statistics, Dynamical Systems, Segmentation, Tracking},
}
@article{Cremers-Mielke-99,
author = {D. Cremers and A. Mielke},
title = {Flow equations for the {H}{\'e}on-{H}eiles {H}amiltonian},
journal = {Physica D},
year = {1999},
volume = {126},
pages = {123--135},
titleurl = {2167.pdf},
topic = {Physics, Quantum Chaos},
}
@inproceedings{Cremers-et-al-04b,
author = {D. Cremers and S. J. Osher and S. Soatto},
title = {Kernel density estimation and intrinsic alignment for knowledge-driven
segmentation: {T}eaching level sets to walk},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2004},
editor = {C. E. Rasmussen},
volume = {3175},
series = {LNCS},
pages = {36--44},
publisher = {Springer},
titleurl = {cremers_dagm04.pdf},
keywords = {shape-priors},
topic = {Level Sets, Shape Priors, Statistics, Segmentation},
}
@article{Cremers-et-al-06b,
author = {D. Cremers and S. J. Osher and S. Soatto},
title = {Kernel density estimation and intrinsic alignment for shape priors
in level set segmentation},
journal = {International Journal of Computer Vision},
year = {2006},
volume = {69},
number = {3},
month = {sep},
pages = {335--351},
titleurl = {cremers_osher_soatto_ijcv06.pdf},
topic = {Level Sets, Shape Priors, Statistics, Segmentation},
keywords = {medical imaging},
}
@incollection{Cremers-Rousson-07,
author = {D. Cremers and M. Rousson},
title = {Efficient kernel density estimation of shape and intensity priors
for level set segmentation},
booktitle = {Parametric and {G}eometric {D}eformable {M}odels: {A}n application
in {B}iomaterials and {M}edical {I}magery},
publisher = {Springer},
year = {2007},
editor = {J. S. Suri and A. Farag},
month = {May},
titleurl = {cremers_rousson07.pdf},
topic = {Segmentation, Shape Priors, Medical Image Analysis, Statistics},
keywords = {shape-priors, medical imaging},
}
@inproceedings{Cremers-Schnoerr-02,
author = {D. Cremers and C. Schnörr},
title = {Motion Competition: variational integration of motion segmentation
and shape regularization},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2002},
editor = {L. van Gool},
volume = {2449},
series = {LNCS},
pages = {472--480},
address = {Z{\"u}rich},
month = {Sept.},
publisher = {Springer},
award = {Received the Best Paper Award},
titleurl = {dagm02_cremers.pdf},
topic = {Shape, Optic Flow, Statistics, Segmentation, Motion},
}
@inproceedings{Cremers-Schnoerr-02b,
author = {D. Cremers and C. Schnörr},
title = {Statistical shape knowledge in variational motion segmentation},
booktitle = {1st {I}nternat. {W}orkshop on {G}enerative-{M}odel-{B}ased {V}ision},
year = {2002},
editor = {A. Pece and Y. N. Wu and R. Larsen},
address = {Copenhagen},
month = {June, 2},
publisher = {Univ. of Copenhagen},
titleurl = {cremers_gmbv02.ps.gz},
topic = {Shape, Optic Flow, Statistics, Segmentation, Motion},
keywords = {optical-flow, segmentation},
}
@article{Cremers-Schnoerr-03a,
author = {D. Cremers and C. Schnörr},
title = {Statistical shape knowledge in variational motion segmentation},
journal = {Image and Vision Computing},
year = {2003},
volume = {21},
pages = {77--86},
number = {1},
titleurl = {cremers_ivc.pdf},
topic = {Shape, Optic Flow, Statistics, Segmentation, Motion},
keywords = {optical-flow},
}
@article{Cremers-12,
author = {D. Cremers},
title = {Optimal Solutions for Semantic Image Decomposition},
journal = {Image and Vision Computing},
year = {2012},
volume = {30},
pages = {476--477},
number = {8},
titleurl = {cremers_ivc12.pdf},
keywords = {convex-relaxation, segmentation},
}
@article{Chen-et-al-ivc12,
author = {S. Chen and D. Cremers and R. J. Radke},
title = {Image segmentation with one shape prior - A template-based formulation},
journal = {Image and Vision Computing},
year = {2012},
volume = {30},
number = {12},
pages = {1032--1042},
titleurl = {chen-et-al-ivc12.pdf},
topic = {Shape, Segmentation},
keywords = {medical imaging},
}
@inproceedings{Cremers-et-al-01,
author = {D. Cremers and C. Schnörr and J. Weickert},
title = {Diffusion {S}nakes: {C}ombining statistical shape knowledge
and image information in a variational framework},
booktitle = {I{EEE} {F}irst {I}nt. {W}orkshop on {V}ariational and {L}evel {S}et
{M}ethods},
year = {2001},
editor = {N. Paragios},
pages = {137--144},
address = {Vancouver},
award = {Best Student Paper Award},
titleurl = {cremers_vlsm.ps.gz},
topic = {Shape, Statistics, Segmentation},
}
@inproceedings{Cremers-et-al-dyn,
author = {D. Cremers and C. Schnörr and J. Weickert and C. Schellewald},
title = {Learning of translation invariant shape knowledge for steering diffusion
snakes},
booktitle = {Dynamische {P}erzeption},
year = {2000},
editor = {G. Baratoff and H. Neumann},
volume = {9},
series = {Proceedings on Artificial Intelligence},
pages = {117--122},
address = {Ulm Germany},
month = {Nov.},
publisher = {Infix},
titleurl = {dynperz00.ps.gz},
keywords = {shape-priors},
topic = {Shape Priors, Statistics, Segmentation},
}
@inproceedings{Cremers-et-al-00,
author = {D. Cremers and C. Schnörr and J. Weickert and C. Schellewald},
title = {Diffusion {S}nakes using statistical shape knowledge},
booktitle = {Algebraic {F}rames for the {P}erception-{A}ction {C}ycle},
year = {2000},
editor = {G. Sommer and Y.Y. Zeevi},
volume = {1888},
series = {LNCS},
pages = {164--174},
address = {Kiel, Germany},
month = {Sept.},
publisher = {Springer},
titleurl = {afpac2000.ps.gz},
keywords = {shape-priors},
topic = {Shape Priors, Statistics, Segmentation},
}
@techreport{Cremers-et-al-TR00,
author = {D. Cremers and C. Schnörr and J. Weickert and C. Schellewald},
title = {Diffusion {S}nakes using statistical shape knowledge},
institution = {Dept. of Math. and Comp. Sci., Comp. Sci. Series},
year = {2000},
type = {Technical report},
number = {11/00},
address = {University of Mannheim, Germany},
month = {Mar.},
topic = {Shape, Statistics, Segmentation},
}
@inproceedings{Cremers-Soatto-03b,
author = {D. Cremers and S. Soatto},
title = {A pseudo-distance for shape priors in level set segmentation},
booktitle = {I{EEE} 2nd {I}nt. {W}orkshop on {V}ariational, {G}eometric and {L}evel
{S}et {M}ethods},
year = {2003},
editor = {N. Paragios},
pages = {169--176},
address = {Nice},
titleurl = {cremers_soatto_vlsm03.pdf},
keywords = {shape-priors},
topic = {Shape Priors},
}
@inproceedings{Cremers-Soatto-03,
author = {D. Cremers and S. Soatto},
title = {Variational space-time motion segmentation},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2003},
editor = {B. Triggs and A. Zisserman},
volume = {2},
pages = {886--892},
address = {Nice},
month = {Oct.},
titleurl = {cremers_soatto_iccv03.pdf},
topic = {Optic Flow, Level Sets, Segmentation, Motion},
keywords = {optical-flow},
}
@article{Cremers-Soatto-05,
author = {D. Cremers and S. Soatto},
title = {Motion Competition: {A} variational framework for piecewise
parametric motion segmentation},
journal = {International Journal of Computer Vision},
year = {2005},
volume = {62},
pages = {249--265},
number = {3},
month = {May},
titleurl = {cremers_soatto_ijcv05.pdf},
topic = {Optic Flow, Level Sets, Segmentation, Motion},
keywords = {optical-flow},
}
@inproceedings{Cremers-et-al-03,
author = {D. Cremers and N. Sochen and C. Schnörr},
title = {Towards {R}ecognition-based {V}ariational {S}egmentation {U}sing
{S}hape {P}riors and {D}ynamic {L}abeling},
booktitle = {Scale-{S}pace {M}ethods in {C}omputer {V}ision},
year = {2003},
editor = {L. D. Griffin and M. Lillholm},
volume = {2695},
series = {LNCS},
pages = {388--400},
address = {Isle of Skye},
publisher = {Springer},
titleurl = {dynamic_labeling.pdf},
keywords = {shape-priors},
topic = {Shape Priors, Level Sets, Segmentation, Recognition},
}
@inproceedings{Cremers-et-al-04,
author = {D. Cremers and N. Sochen and C. Schnörr},
title = {Multiphase dynamic labeling for variational recognition-driven image
segmentation},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2004},
editor = {T. Pajdla and V. Hlavac},
volume = {3024},
series = {LNCS},
pages = {74--86},
publisher = {Springer},
titleurl = {cremers_eccv04.pdf},
keywords = {shape-priors},
topic = {Shape Priors, Level Sets, Segmentation, Recognition},
}
@article{Cremers-et-al-06,
author = {D. Cremers and N. Sochen and C. Schnörr},
title = {A multiphase dynamic labeling model for variational recognition-driven
image segmentation},
journal = {International Journal of Computer Vision},
year = {2006},
volume = {66},
pages = {67--81},
month = {jan},
number = {1},
titleurl = {cremers_sochen_schnoerr_ijcv06.pdf},
topic = {Shape Priors, Level Sets, Segmentation, Recognition},
}
@article{Cremers-et-al-02c,
author = {D. Cremers and F. Tischhäuser and J. Weickert and C. Schnörr},
title = {Diffusion {S}nakes: {I}ntroducing statistical shape knowledge into
the {M}umford--{S}hah functional},
journal = {International Journal of Computer Vision},
year = {2002},
volume = {50},
pages = {295--313},
number = {3},
titleurl = {cremers_et_al_ijcv02.pdf},
keywords = {shape-priors},
topic = {Shape Priors, Segmentation, Statistics},
}
@inproceedings{Cremers-Yuille-03,
author = {D. Cremers and A. L. Yuille},
title = {A generative model based approach to motion segmentation},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2003},
editor = {B. Michaelis and G. Krell},
volume = {2781},
series = {LNCS},
pages = {313--320},
address = {Magdeburg},
month = {Sept.},
publisher = {Springer},
titleurl = {generative.pdf},
topic = {Level Sets, Optic Flow, Statistics, Segmentation, Motion},
keywords = {optical-flow},
}
@inproceedings{Doretto-et-al-03,
author = {G. Doretto and D. Cremers and P. Favaro and S. Soatto},
title = {Dynamic texture segmentation},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2003},
editor = {B. Triggs and A. Zisserman},
volume = {2},
pages = {1236--1242},
address = {Nice},
month = {Oct.},
titleurl = {dynamic_texture_segmentation.pdf},
topic = {Level Sets, Segmentation, Texture},
}
@inproceedings{Jin-et-al-04,
author = {H. Jin and D. Cremers and A. Yezzi and S. Soatto},
title = {Shedding light on stereoscopic segmentation},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2004},
editor = {L. Davis},
volume = {1},
pages = {36--42},
address = {Washington, DC},
titleurl = {jin_et_al_cvpr04.pdf},
topic = {3D Reconstruction, Level Sets, Illumination},
}
@article{Jin-et-al-08,
author = {H. Jin and D. Cremers and D. Wang and A. Yezzi and E. Prados and S. Soatto},
title = {3-D Reconstruction of Shaded Objects from Multiple Images
Under Unknown Illumination},
journal = {International Journal of Computer Vision},
volume = {76},
number = {3},
pages = {245--256},
month = {mar},
year = {2008},
titleurl = {jin_et_al_ijcv08.pdf},
topic = {3D Reconstruction, Level Sets, Illumination},
}
@article{Keuchel-et-al-03,
author = {J. Keuchel and C. Schnörr and C. Schellewald and D. Cremers},
title = {Binary partitioning, perceptual grouping, and restoration with semidefinite
programming},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {2003},
volume = {25},
pages = {1364--1379},
number = {11},
keywords = {convex-relaxation},
titleurl = {keuchel_et_al_pami03.pdf},
}
@incollection{manayCHYS06,
author = {S. Manay and D. Cremers and B. W. Hong and A. Yezzi and S. Soatto},
title = {Integral Invariants and Shape Matching},
booktitle = {Statistical analysis of shapes (modeling and
simulation in science, engineering and technology)},
year = {2006},
month = {May},
publisher = {Birkhauser},
pages = {137--167},
titleurl = {manayCHYS06.pdf},
}
@article{Manay-et-al-06,
author = {S. Manay and D. Cremers and B.-W. Hong and A. Yezzi and S. Soatto},
title = {Integral invariants for shape matching},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {2006},
month = {oct},
volume = {28},
number = {10},
pages = {1602--1618},
keywords = {shape},
topic = {Shape, Correspondence},
titleurl = {manay_et_al_pami06.pdf},
}
@inproceedings{Manay-et-al-05,
author = {S. Manay and D. Cremers and A. J. Yezzi and S. Soatto},
title = {One-shot integral invariant shape priors for variational segmentation},
booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)},
volume = {3757},
editor = {A. Rangarajan and B. Vemuri and A. L. Yuille},
series = {LNCS},
year = {2005},
pages = {414--426},
keywords = {image-segmentation,shape,Dijkstra + PDE},
topic = {Segmentation, Shape, Correspondence},
}
@inproceedings{Wedel-et-al-emmcvpr09,
author = {A. Wedel and C. Rabe and A. Meissner and U. Franke and D. Cremers},
title = {Detection and Segmentation of Independently Moving Objects
from Dense Scene Flow},
booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)},
volume = {5681},
editor = {D. Cremers and Y. Boykov and A. Blake and F. R. Schmidt},
series = {LNCS},
year = {2009},
keywords = {scene-flow},
titleurl = {wedel_et_al_emmcvpr09.pdf},
}
@article{PBBDW06,
author = {N. Papenberg and A. Bruhn and T. Brox and S. Didas and J. Weickert},
title = {Highly accurate optic flow computation with theoretically justified
warping},
journal = {International Journal of Computer Vision},
volume = {67},
number = {2},
pages = {141--158},
month = {apr},
year = {2006},
preprint = {{Revised version of Preprint No. 124,
Department of Mathematics, Saarland University, Saarbr{\"u}cken,
Germany, January 2005.}},
topic = {Optic Flow, Motion},
keywords = {optical-flow},
}
@article{Wedel-et-al-its09,
author = {A. Wedel and C. Rabe and H. Badino and H. Loose and U. Franke and D. Cremers},
title = {B-Spline Modeling of Road Surfaces with an Application to Free Space Estimation},
journal = {Transactions on Intelligent Transportation Systems},
year = {2009},
volume = {10},
number = {4},
pages = {572--583},
titleurl = {wedel_et_al_its09.pdf},
}
@article{BWBM06,
author = {T. Brox and J. Weickert and B. Burgeth and P. Mrázek},
title = {Nonlinear structure tensors},
journal = {Image and Vision Computing},
year = {2006},
volume = {24},
pages = {41--55},
number = {1},
month = {jan},
preprint = {{Revised version of Preprint No. 113,
Department of Mathematics, Saarland University, Saarbr{\"u}cken,
Germany, October 2004.}},
topic = {Image Enhancement, Optic Flow, Feature Detection},
}
@article{BBSBW06,
author = {M. Breuß and T. Brox and A. Bürgel and T. Sonar and J. Weickert},
title = {Numerical aspects of {TV} flow},
journal = {Numerical Algorithms},
year = {2006},
volume = {41},
pages = {79--101},
number = {1},
month = {jan},
preprint = {{Revised version of Preprint No. 148,
Department of Mathematics, Saarland University, Saarbr{\"u}cken,
Germany, August 2005.}},
topic = {Image Enhancement},
}
@article{RBKS+06,
author = {B. Rosenhahn and T. Brox and U. G. Kersting and A. W. Smith and J. Gurney and R. Klette},
title = {A system for marker-less motion capture},
journal = {K{\"u}nstliche {I}ntelligenz},
year = {2006},
pages = {45--51},
number = {1},
month = {jan},
titleurl = {rosenhahn_ki06.pdf},
topic = {Pose Estimation, Tracking},
}
@techreport{RKHSBKS05,
author = {B. Rosenhahn and U. Kersting and L. He and A. Smith and T. Brox and R. Klette and H. P. Seidel},
title = {A silhouette based human motion tracking system},
institution = {Centre for Imaging Technology and Robotics, University of Auckland},
year = {2005},
type = {Technical report},
number = {164},
address = {New Zealand},
month = {aug},
titleurl = {rosenhahn_pp164.pdf},
topic = {Pose Estimation, Tracking},
}
@inproceedings{RKSGBK05,
author = {B. Rosenhahn and U. Kersting and D. Smith and J. Gurney and T. Brox and R. Klette},
title = {A system for marker-less human motion estimation},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2005},
editor = {W. Kropatsch and R. Sablatnig and A. Hanbury},
volume = {3663},
series = {LNCS},
pages = {109--116},
address = {Vienna, Austria},
month = {aug},
publisher = {Springer},
award = {{Received
the best paper award}},
copyright = {{Springer-Verlag
Berlin Heidelberg 2005}},
titleurl = {rosenhahn_dagm05.pdf},
topic = {Pose Estimation, Tracking},
}
@inproceedings{RBD03,
author = {M. Rousson and T. Brox and R. Deriche},
title = {Active unsupervised texture segmentation on a diffusion based feature
space},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2003},
volume = {2},
pages = {699--704},
address = {Madison, WI},
month = {jun},
preprint = {{Revised and shortened version of Research
Report No. 4695, INRIA Sophia-Antipolis, France, January 2003.}},
topic = {Segmentation, Texture, Statistics, Level Sets},
}
@inproceedings{Rousson-Cremers-05,
author = {M. Rousson and D. Cremers},
title = {Efficient kernel density estimation of shape and intensity priors
for level set segmentation},
booktitle = {Medical Image Computing and Computer Assisted Intervention (MICCAI)},
year = {2005},
volume = {1},
pages = {757--764},
keywords = {image-segmentation,shape,Parzen,parametric,2d cardiac ultrasound,3d ct prostate, medical imaging},
titleurl = {rousson_cremers05.pdf},
topic = {Shape, Segmentation, Statistics, Level Sets},
}
@inproceedings{Fluck-et-al-06,
author = {O. Fluck and S. Aharon and D. Cremers and M. Rousson},
title = {GPU histogram computation},
booktitle = {ACM SIGGRAPH posters and demos},
year = {2006},
keywords = {image segmentation, Parzen, Level Sets},
titleurl = {fluck_et_al_siggraph06_abstract.pdf},
topic = {Segmentation, Statistics, Level Sets},
}
@inproceedings{Cremers-et-al-07,
author = {D. Cremers and O. Fluck and M. Rousson and S. Aharon},
title = {A probabilistic level set formulation for interactive organ
segmentation},
booktitle = {Proc. of the SPIE Medical Imaging},
year = {2007},
month = {feb},
address = {San Diego, USA},
editors = {E. Krupinski and A. Amini and M. Sonka},
keywords = {image segmentation, Parzen, Level Sets, medical imaging},
titleurl = {cremers_et_al_spie07.pdf},
topic = {Segmentation, Statistics, Level Sets},
}
@inproceedings{Kohlberger-et-al-06,
author = {T. Kohlberger and D. Cremers and M. Rousson and R. Ramaraj},
title = {4D shape priors for level set segmentation of the left
myocardium in {SPECT} sequences},
booktitle = {Medical Image Computing and Computer Assisted Intervention (MICCAI)},
volume = {4190},
series = {LNCS},
pages = {92--100},
year = {2006},
month = {oct},
keywords = {image-segmentation,shape,Parzen,parametric,2d cardiac ultrasound,3d
ct prostate, medical imaging},
titleurl = {kohlberger_et_al_miccai06.pdf},
topic = {Shape, Segmentation, Medical Image Analysis, Level Sets},
}
@article{SWBM03,
author = {G. Steidl and J. Weickert and T. Brox and P. Mrázek and M. Welk},
title = {On the equivalence of soft wavelet shrinkage, total variation diffusion,
total variation regularization, and {SIDE}s},
journal = {SIAM Journal on Numerical Analysis},
year = {2004},
volume = {42},
pages = {686--713},
number = {2},
month = {may},
copyright = {{2004 Society
for Industrial and Applied Mathematics}},
preprint = {{Revised and shortened version of Preprint
No. 94, Department of Mathematics, Saarland University, Saarbr{\"u}cken,
Germany, August 2003.}},
titleurl = {steidl_siam04.pdf},
topic = {Image Enhancement},
}
@inproceedings{WB02,
author = {J. Weickert and T. Brox},
title = {Diffusion and regularization of vector- and matrix-valued images},
booktitle = {Inverse {P}roblems, {I}mage {A}nalysis, and {M}edical {I}maging},
year = {2002},
editor = {M. Z. Nashed and O. Scherzer},
volume = {313},
series = {Contemporary Mathematics},
pages = {251--268},
address = {Providence},
month = {dec},
publisher = {{AMS}},
titleurl = {weickert_pp58.pdf},
topic = {Image Enhancement},
}
@incollection{WBBP05,
author = {J. Weickert and A. Bruhn and T. Brox and N. Papenberg},
title = {A survey on variational optic flow methods for small displacements},
booktitle = {Mathematical Models for Registration and Applications to Medical Imaging},
editor = {O. Scherzer},
series = {Mathematics in Industry},
publisher = {Springer},
address = {Berlin},
volume = {10},
year = {2006},
preprint = {{Available online as Preprint No. 152,
Department of Mathematics, Saarland University, Saarbr{\"u}cken,
Germany, August 2005.}},
topic = {Optic Flow, Motion},
keywords = {optical-flow},
}
@incollection{WFWBB05,
author = {J. Weickert and C. Feddern and M. Welk and B. Burgeth and T. Brox},
title = {P{DE}s for tensor image processing},
booktitle = {Visualization and {P}rocessing of {T}ensor {F}ields},
publisher = {Springer},
year = {2006},
editor = {J. Weickert and H. Hagen},
pages = {399--414},
month = {jan},
preprint = {{Revised version of Preprint No. 143,
Department of Mathematics, Saarland University, Saarbr{\"u}cken,
Germany, June 2005.}},
topic = {Image Enhancement},
}
@incollection{WSMWB05,
author = {J. Weickert and G. Steidl and P. Mrázek and M. Welk and T. Brox},
title = {Diffusion filters and wavelets: {W}hat can they learn from each other?},
booktitle = {Handbook of {M}athematical {M}odels in {C}omputer {V}ision},
publisher = {Springer},
year = {2006},
editor = {N. Paragios and Y. Chen and O. Faugeras},
pages = {3--16},
month = {jan},
topic = {Image Enhancement},
}
@inproceedings{WTBW05,
author = {M. Welk and D. Theis and T. Brox and J. Weickert},
title = {P{DE} based deconvolution with forward-backward diffusivities and
diffusion tensors},
booktitle = {Scale {S}pace and {PDE} {M}ethods in {C}omputer {V}ision},
year = {2005},
editor = {R. Kimmel and N. Sochen and J. Weickert},
number = {3459},
series = {LNCS},
pages = {585--597},
address = {Hofgeismar, Germany},
month = {apr},
publisher = {Springer},
copyright = {{Springer-Verlag
Berlin Heidelberg 2005}},
titleurl = {welk_ss05.pdf},
topic = {Image Enhancement},
}
@inproceedings{Schoenemann-et-al-11,
author = {T. Schoenemann and S. Masnou and D. Cremers},
title = {On a linear programming approach to the discrete Willmore boundary value problem and generalizations},
booktitle = {Curves and Surfaces 2011},
year = {2011},
editor = {J.-D. Boissonnat et al.},
number = {6920},
series = {LNCS},
pages = {629--646},
titleurl = {schoenemann-et-al-11.pdf},
topic = {Shape Analysis},
}
@inproceedings{MG04:SGR,
author = {M. Magnor and B. Goldluecke},
editor = {Aloimonos, Y.},
title = {Spacetime-coherent Geometry Reconstruction from Multiple Video Streams},
booktitle = {2nd International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT)},
publisher = {IEEE},
year = {2004},
organization = {IEEE Computer Society},
pages = {365--372},
address = {Thessaloniki, Greece},
month = {September},
isbn = {0-7695-2223-8},
titleurl = {mg04_sgr.pdf},
keywords = {3d-reconstruction},
}
@inproceedings{GM05:STC,
author = {B. Goldluecke and M. Magnor},
title = {Spacetime-Continous Geometry Meshes from Multi-View Video Sequences},
booktitle = {Proceedings of the IEEE International Conference on Image Processing},
publisher = {IEEE Computer Society},
year = {2005},
pages = {516--522},
address = {Genoa, Italy},
month = {September},
titleurl = {gm05_stc.pdf},
keywords = {3d-reconstruction},
}
@inproceedings{GM04:WMH,
author = {B. Goldluecke and M. Magnor},
title = {Weighted Minimal Hypersurfaces and Their Applications in Computer Vision},
booktitle = {European Conference on Computer Vision (ECCV)},
publisher = {Springer},
year = {2004},
volume = {3022},
pages = {366--378},
series = {Lecture Notes in Computer Science},
address = {Prague, Czech Republic},
month = {May},
isbn = {3-540-21983-8},
titleurl = {gm04_wmh.pdf},
keywords = {3d-reconstruction},
}
@article{DBLP:journals-pami-ManinisCCPLCG19,
author = {K.-K. Maninis and S. Caelles and Y. Chen and J. PTand L. Leal-Taixé and D. Cremers and L. V Gool},
title = {Video Object Segmentation without Temporal Information},
journal = {{IEEE} Trans. Pattern Anal. Mach. Intell.},
volume = {41},
number = {6},
pages = {1515--1530},
year = {2019},
url = {https://doi.org/10.1109/TPAMI.2018.2838670},
doi = {10.1109/TPAMI.2018.2838670},
timestamp = {Sat, 30 May 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/pami/ManinisCCPLCG19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org},
}
@inproceedings{GM04:STI,
author = {B. Goldluecke and M. Magnor},
title = {Space-Time Isosurface Evolution for Temporally Coherent {3D} Reconstruction},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
publisher = {IEEE Computer Society},
year = {2004},
volume = {I},
pages = {350--355},
address = {Washington, D.C., USA},
month = {July},
isbn = {0-7695-2158-4},
titleurl = {gm04_sti.pdf},
keywords = {3d-reconstruction},
}
@inproceedings{GM03:JRS,
author = {B. Goldluecke and M. Magnor},
title = {Joint {3D} Reconstruction and Background Separation in Multiple Views using Graph Cuts},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
publisher = {IEEE Computer Society},
year = {2003},
volume = {I},
pages = {683--694},
address = {Madison, Wisconsin, USA},
month = {June},
isbn = {0-7695-1900-8},
titleurl = {gm03_jrs.pdf},
keywords = {3d-reconstruction},
}
@inproceedings{GM03:RMB,
author = {B. Goldluecke and M. Magnor},
title = {Real-time Microfacet Billboarding for Free-viewpoint Video Rendering},
booktitle = {Proceedings of the IEEE International Conference on Image Processing},
publisher = {IEEE Computer Society},
year = {2003},
organization = {Universitat Politècnica de Catalunya (UPC)},
volume = {3},
pages = {713--716},
address = {Barcelona, Spain},
month = {September},
isbn = {0-7803-7750-8},
titleurl = {gm03_rmb.pdf},
}
@inproceedings{GM03:FVR,
author = {B. Goldluecke and M. Magnor},
editor = {Ebrahimi, Touradj and Sikora, Thomas},
title = {Real-time, Free-viewpoint Video Rendering from Volumetric Geometry},
booktitle = {Visual Communications and Image Processing},
year = {2003},
organization = {The International Society for Optical Engineering (SPIE)},
volume = {5150 (2)},
pages = {1152--1158},
series = {Proceedings of SPIE},
address = {Lugano, Switzerland},
month = {June},
isbn = {0-8194-5023-5},
titleurl = {gm03_fvr.pdf},
}
@inproceedings{GMW02:HAD,
author = {B. Goldluecke and M. Magnor and B. Wilburn},
title = {Hardware-accelerated Dynamic Light Field Rendering},
booktitle = {Proceedings Vision, Modeling and Visualization (VMV)},
year = {2002},
pages = {455--462},
titleurl = {gmw02_had.pdf},
}
@inproceedings{PGM03:HAS,
author = {C. Petz and B. Goldluecke and M. Magnor},
title = {Hardware-accelerated Autostereogram Rendering for Interactive {3D} Visualization},
booktitle = {Stereoscopic Displays and Virtual Reality Systems X},
publisher = {SPIE Proceedings},
volume = {5006},
year = {2003},
pages = {359--366},
address = {Santa Clara, USA},
month = {January},
isbn = {0-8194-4806-0},
titleurl = {pgm03_has.pdf},
}
@article{MG05:SDL,
author = {C. Michel and C.H. Thien and S. Ye and P.J. Klar and W. Heimbrodt and S.D. Baranovskii and P. Thomas and M. Lampalzer and K. Volz and W. Stolz and B. Goldluecke},
title = {Spin-dependent localization effects in {GaAs:Mn/MnAs} granular paramagnetic-ferromagnetic hybrids at low temperatures},
journal = {J. Superlattices and Microstructures},
year = {2005},
volume = {37},
pages = {321--326},
publisher = {Elsevier},
titleurl = {MG05_SDL.pdf},
}
@article{GILM07:WMHR,
author = {B. Goldluecke and I. Ihrke and C. Linz and M. Magnor},
title = {Weighted Minimal Hypersurface Reconstruction},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {29},
number = {7},
month = {July},
year = {2007},
pages = {1194--1208},
titleurl = {GILM07_WMHR.pdf},
keywords = {3d-reconstruction},
}
@article{GSC12:siims,
author = {B. Goldluecke and E. Strekalovskiy and D. Cremers},
title = {The Natural Total Variation Which Arises from Geometric Measure Theory},
journal = {SIAM Journal on Imaging Sciences},
year = {2012},
volume = {5},
number = {2},
pages = {537–-563},
titleurl = {GSC12_siims.pdf},
topic = {Convex Relaxation Methods, Optic Flow},
keywords = {convex-relaxation, optical-flow},
}
@inproceedings{IGM05:RGFW,
author = {I. Ihrke and B. Goldluecke and M. Magnor},
title = {Reconstructing the Geometry of Flowing Water},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
publisher = {IEEE},
year = {2005},
pages = {1055--1060},
address = {Beijing, PRC},
titleurl = {IGM05_RGFW.pdf},
keywords = {3d-reconstruction},
}
@inproceedings{GC09:SRF,
author = {B. Goldluecke and D. Cremers},
title = {A Superresolution Framework for High-Accuracy Multiview Reconstruction},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2009},
address = {Jena, Germany},
topic = {3D Reconstruction},
award = {Received DAGM Best Paper Award},
titleurl = {GC09_STD.pdf},
keywords = {3d-reconstruction},
}
@inproceedings{GC09:SRT,
author = {B. Goldluecke and D. Cremers},
title = {Superresolution Texture Maps for Multiview Reconstruction},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2009},
address = {Kyoto, Japan},
topic = {3D Reconstruction},
titleurl = {GC09_STM.pdf},
}
@article{Sellent-et-al-pami11,
author = {A. Sellent and M. Eisemann and B. Goldluecke and D. Cremers and M. Magnor},
title = {Motion Field Estimation from Alternate Exposure Images},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {33},
number = {8},
pages = {1577--1589},
year = {2011},
titleurl = {sellent_et_al_pami2011.pdf},
keywords = {optical-flow},
}
@inproceedings{SEGPCM09:AEF,
author = {A. Sellent and M. Eisemann and B. Goldluecke and T. Pock and D. Cremers and M. Magnor},
title = {{Variational Optical Flow from Alternate Exposure Images}},
booktitle = {Proceedings Vision, Modeling and Visualization (VMV)},
year = {2009},
pages = {135--143},
titleurl = {SEGPCM09_AEF.pdf},
keywords = {optical-flow},
}
@inproceedings{Pock-et-al-iccv09,
author = {T. Pock and D. Cremers and H. Bischof and A. Chambolle},
title = {An Algorithm for Minimizing the Piecewise Smooth Mumford-Shah Functional},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2009},
address = {Kyoto, Japan},
titleurl = {pock_et_al_iccv09.pdf},
topic = {Convex Relaxation Methods},
keywords = {convex-relaxation},
}
@inproceedings{Wedel-et-al-iccv09,
author = {A. Wedel and D. Cremers and T. Pock and H. Bischof},
title = {Structure- and Motion-adaptive Regularization for High
Accuracy Optic Flow},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2009},
address = {Kyoto, Japan},
titleurl = {wedel_et_al_iccv09.pdf},
topic = {Motion},
keywords = {optical-flow},
}
@inproceedings{Schoenemann-et-al-iccv09,
author = {T. Schoenemann and F. Kahl and D. Cremers},
title = {Curvature Regularity for Region-based Image Segmentation and
Inpainting: A Linear Programming Relaxation},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2009},
address = {Kyoto, Japan},
titleurl = {schoenemann_et_al_iccv09.pdf},
}
@inproceedings{Windheuser-et-al-iccv09,
author = {T. Windheuser and T. Schoenemann and D. Cremers},
title = {Beyond Connecting the Dots: A Polynomial-time Algorithm for
Segmentation and Boundary Estimation with Imprecise
User Input},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2009},
address = {Kyoto, Japan},
titleurl = {windheuser_et_al_iccv09.pdf},
}
@inproceedings{Steinbruecker-et-al-iccv09,
author = {F. Steinbruecker and T. Pock and D. Cremers},
title = {Large Displacement Optical Flow Computation without
Warping},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2009},
address = {Kyoto, Japan},
titleurl = {steinbruecker_et_al_iccv09.pdf},
topic = {Motion},
keywords = {optical-flow},
}
@inproceedings{Mitzel-et-al-dagm09,
author = {D. Mitzel and T. Pock and T. Schoenemann and D. Cremers},
title = {Video Super Resolution using Duality Based TV-L1 Optical Flow},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2009},
address = {Jena, Germany},
keywords = {optical-flow},
titleurl = {mitzel_et_al_dagm09.pdf},
}
@phdthesis{G06:MCR,
author = {B. Goldluecke},
title = {Multi-Camera Reconstruction and Rendering for Free-viewpoint Video},
school = {Max-Planck-Institute for Computer Science, Saarbr{\"u}cken},
year = {2006},
address = {Germany},
month = {jul},
titleurl = {G06_MCR.pdf},
}
@mastersthesis{G01:FEM,
author = {B. Goldluecke},
title = {Nichtkonforme {F}inite {E}lemente und {K}ollokation f{\"u}r elliptische {R}andwertprobleme},
school = {Phillips-Universit{\"a}t Marburg},
year = {2001},
address = {Germany},
month = {dec},
titleurl = {G01_FEM.pdf},
}
@article{MG08:INR,
author = {C. Michel and M. T. Elm and S. D. Baranovskii and P. Thomas and W. Heimbrodt and B. Goldluecke and P. J. Klar},
title = {Influence of non-random incorporation of Mn ions on the magnetotransport properties of $Ga_{1-x}Mn_{x}As$ alloys},
journal = {Physica status solidi. C. Current topics in solid state physics},
year = {2008},
volume = {5},
number = {3},
pages = {819--823},
}
@article{MG07:QMM,
author = {C. Michel and S. D. Baranovskii and P. Thomas and W. Heimbrodt and M. T. Elm and P. J. Klar and B. Goldluecke and U. Wurstbauer and M. Reinwald and W. Wegscheider},
title = {{Quantitative modeling of the annealing-induced changes of the magnetotransport in $Ga_{1-x}Mn_{x}As$ alloys}},
journal = {Journal of Applied Physics},
year = {2007},
volume = {102},
number = {7},
pages = {073712},
titleurl = {MG07_QMM.pdf},
}
@article{MG06:STD,
title = {Strong {non-Arrhenius} temperature dependence of the resistivity in the regime of traditional band transport},
volume = {89},
number = {11},
journal = {Applied Physics Letters},
author = {C. Michel and S. D. Baranovskii and P. J. Klar and P. Thomas and B. Goldluecke},
year = {2006},
pages = {112116},
titleurl = {MG06_STD.pdf},
}
@article{MG08:TMN,
title = {Tailoring the magnetoresistance of {MnAs/GaAs:Mn} granular hybrid nanostructures},
volume = {92},
number = {22},
journal = {Applied Physics Letters},
author = {C. Michel and M. T. Elm and B. Goldluecke and S. D. Baranovskii and P. Thomas and W. Heimbrodt and P. J. Klar},
year = {2008},
pages = {223119},
titleurl = {MG08_TMN.pdf},
}
@inproceedings{GC10:VTV,
title = {An Approach to Vectorial Total Variation based on Geometric Measure Theory},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
author = {B. Goldluecke and D. Cremers},
year = {2010},
titleurl = {GC10_VTV.pdf},
}
@inproceedings{GC10:ML,
title = {Convex Relaxation for Multilabel Problems with Product Label Spaces},
booktitle = {European Conference on Computer Vision (ECCV)},
author = {B. Goldluecke and D. Cremers},
year = {2010},
titleurl = {GC10_ML.pdf},
topic = {Convex Relaxation Methods},
keywords = {convex-relaxation},
}
@inproceedings{berkels-et-al-emmcvpr09,
author = {B. Berkels and C. Nieuwenhuis and C. Garbe and M. Rumpf},
title = {Reconstructing Optical Flow Fields by Motion Inpainting},
booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)},
year = {2009},
series = {LNCS},
volume = {5681},
pages = {388--400},
publisher = {Springer},
titleurl = {berkels-et-al-emmcvpr09.pdf},
keywords = {optical-flow},
}
@mastersthesis{so10,
author = {M. Souiai},
title = {Newton Methods for Total Variation Minimization},
month = {June},
year = {2010},
address = {Germany},
school = {Computer Vision Group, TU Munich},
topic = {Optimization},
titleurl = {souiai_diploma_thesis.pdf},
}
@inproceedings{souiai-et-al-wiccv13,
author = {M. Souiai and C. Nieuwenhuis and E. Strekalovskiy and D. Cremers},
title = {Convex Optimization for Scene Understanding},
booktitle = {ICCV Workshop on Graphical Models for Scene Understanding},
year = {2013},
titleurl = {souiai-et-al-wiccv13.pdf},
keywords = {segmentation},
}
@techreport{souiai_tr_13,
author = {M. Souiai and E. Strekalovskiy and C. Nieuwenhuis and D. Cremers},
title = {Label Configuration Priors for Continuous Multi-Label Optimization},
type = {Technical report},
school = {Computer Vision Group, TU Munich},
titleurl = {souiai_tr_13.pdf},
year = {2013},
topic = {Convex Relaxation Methods,Image Segmentation},
keywords = {convex-relaxation,label configuration priors,medical imaging},
}
@inproceedings{bergbauer-et-al-wiccv13,
author = {J. Bergbauer and C. Nieuwenhuis and M. Souiai and D. Cremers},
title = {Proximity Priors for Variational Semantic Segmentation and Recognition},
booktitle = {ICCV Workshop on Graphical Models for Scene Understanding},
year = {2013},
titleurl = {bergbauer-et-al-wiccv13.pdf},
doi = {10.1109/ICCVW.2013.132},
keywords = {segmentation,diebold},
}
@inproceedings{nieuwenhuis-et-al-eccv08,
author = {C. Nieuwenhuis and R. Mester and C. Garbe},
title = {A Statistical Confidence Measure for Optical Flows},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2008},
pages = {290--301},
address = {Marseille, France},
month = {October},
titleurl = {nieuwenhuis-et-al-eccv08.pdf},
}
@inproceedings{andres-et-al-cvpr08,
author = {B. Andres and C. Nieuwenhuis and D. Kondermann and U. Köthe and R. Hamprecht},
title = {On Errors-In-Variables Regression with Arbitrary Covariance and its Application to Optical Flow Estimation},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2008},
address = {Anchorage, Alaska},
month = {jun},
pages = {1--6},
keywords = {Shape Priors},
titleurl = {andres-et-al-cvpr08.pdf},
}
@inproceedings{nieuwenhuis-et-al-dagm08,
author = {C. Nieuwenhuis and D. Kondermann and C. Garbe},
title = {Postprocessing of Optical Flows via Surface Measures and Motion Inpainting},
booktitle = {Pattern Recognition (Proc. DAGM)},
year = {2008},
series = {LNCS},
address = {Munich, Germany},
pages = {355--364},
month = {jun},
publisher = {Springer},
volume = {5096},
titleurl = {nieuwenhuis-et-al-dagm08.pdf},
}
@inproceedings{nieuwenhuis-et-al-dagm07,
author = {C. Nieuwenhuis and D. Kondermann and B. Jähne},
title = {An Adaptive Confidence Measure for Optical Flows Based on Linear Subspace Projections},
booktitle = {Pattern Recognition (Proc. DAGM)},
address = {Heidelberg, Germany},
series = {LNCS},
publisher = {Springer},
month = {sep},
year = {2007},
volume = {4713},
pages = {132--141},
titleurl = {nieuwenhuis-et-al-dagm07.pdf},
}
@inproceedings{nieuwenhuis-et-al-spie07,
author = {C. Nieuwenhuis and D. Kondermann and M. Yan},
title = {Blood vessel classification into arteries and veins in retinal images},
booktitle = {Proc. of the SPIE Medical Imaging},
year = {2007},
month = {feb},
address = {San Diego, USA},
volume = {6512},
editors = {E. Krupinski and A. Amini and M. Sonka},
titleurl = {nieuwenhuis-et-al-spie07.pdf},
}
@inproceedings{nieuwenhuis-et-al-icpr2006,
author = {C. Nieuwenhuis and M. Yan},
title = {Knowledge Based Image Enhancement Using Neural Networks},
booktitle = {International Conference on Pattern Recognition, Proceedings},
year = {2006},
titleurl = {nieuwenhuis-et-al-icpr06.pdf},
pages = {814--817},
}
@phdthesis{nieuwenhuis-phd09,
author = {C. Nieuwenhuis},
title = {Restoration and Prostprocessing of Optical Flows},
school = {Faculty of Mathematics and Computer Science, Heidelberg University},
year = {2009},
address = {Germany},
month = {jul},
keywords = {optical-flow},
titleurl = {nieuwenhuis_PhDThesis.pdf},
}
@article{Schlickewei_2010_JAlgebra,
author = {U. Schlickewei},
title = {The Hodge conjecture for self-products of certain K3 surfaces},
journal = {Journal of Algebra},
volume = {324},
year = {2010},
number = {3},
pages = {507-529},
titleurl = {Schlickewei_KSRM.pdf},
}
@article{Schlickewei_2010_RendPad,
title = {Stability of tautological vector bundles on Hilbert squares of surfaces},
journal = {Rendiconti del Seminario Matematico della Universit\'a di Padova},
volume = {124},
year = {2010},
pages = {127--138},
author = {U. Schlickewei},
titleurl = {Schlickewei_stability.pdf},
}
@article{Schlickewei_2011_GeomDed,
title = {On the Andr\'e motive of certain irreducible symplectic varieties},
journal = {Geometriae Dedicata},
volume = {156},
pages = {141-149},
year = {2012},
author = {U. Schlickewei},
titleurl = {Schlickewei_motives.pdf},
}
@article{Schlickewei_2010_PHD,
title = {Hodge classes on self-products of K3 surfaces},
journal = {Bonner Mathematische Schriften},
volume = {395},
author = {U. Schlickewei},
year = {2009},
titleurl = {Schlickewei_PHD.pdf},
}
@article{StrekalovskiyEM,
author = {E. Strekalovskiy},
title = {Folgen von H{\"o}henfu{\ss}punktdreiecken und ihre Grenzpunkte},
journal = {Elemente der Mathematik},
volume = {64},
pages = {53--70},
year = {2009},
number = {2},
}
@inproceedings{hartwig2022constrained,
title = {Constrained visual-inertial localization with application and benchmark in laparoscopic surgery},
author = {R Hartwig and D Ostler and JC Rosenthal and H Feußner and D Wilhelm and D Wollherr},
booktitle = {2022 International Conference on Robotics and Automation (ICRA)},
pages = {9513--9520},
year = {2022},
organization = {IEEE},
}
@inproceedings{nieuwenhuis-et-al-dagm10,
author = {C. Nieuwenhuis and D. Kondermann},
title = {Complex Motion Models for Simple Optical Flow Estimation},
booktitle = {Pattern Recognition (Proc. DAGM)},
address = {Heidelberg, Germany},
series = {LNCS},
publisher = {Springer},
month = {sep},
year = {2010},
volume = {6376},
pages = {141--150},
titleurl = {nieuwenhuis_et_al_dagm10.pdf},
keywords = {optical-flow},
}
@inproceedings{nieuwenhuis-et-al-dagm10b,
author = {C. Nieuwenhuis and B. Berkels and M. Rumpf},
title = {Interactive Motion Segmentation},
booktitle = {Pattern Recognition (Proc. DAGM)},
address = {Heidelberg, Germany},
series = {LNCS},
publisher = {Springer},
month = {sep},
year = {2010},
volume = {6376},
pages = {483--492},
titleurl = {nieuwenhuis_et_al_dagm10b.pdf},
keywords = {segmentation,optical-flow},
}
@inproceedings{Soest06bnaic,
author = {D. A. van Sand M. de Greef and J. Sturm and A. Visser},
title = {Autonomous Color Learning in an Artificial Environment},
booktitle = {Proc. of the Belgian-Netherlands Artificial Intelligence Conference (BNAIC)},
address = {Namur, Belgium},
month = {Oct.},
year = {2006},
pages = {299--306},
titleurl = {soest06bnaic.pdf},
topic = {robocup},
}
@inproceedings{Sturm06robocup,
author = {J. Sturm and P. van Rossum and A. Visser},
title = {Panoramic Localization in the 4-Legged League},
booktitle = {Proc. of the RoboCup International Symposium},
month = {June},
year = {2006},
volume = {4434},
pages = {387--394},
editor = {G. Lakemeyer and E. Sklar and D. Sorrenti and T. Takahashi},
publisher = {Springer},
address = {Berlin Heidelberg New York},
titleurl = {sturm06robocup.pdf},
topic = {robocup},
}
@inproceedings{Visser06bnaic,
author = {A. Visser and J. Sturm and F.C.A. Groen},
title = {Robot companion localization at home and in the office},
booktitle = {Proc. of the Belgian-Netherlands Artificial Intelligence Conference (BNAIC)},
address = {Namur, Belgium},
pages = {347--354},
month = {Oct.},
year = {2006},
titleurl = {visser06bnaic.pdf},
topic = {robocup},
}
@inproceedings{sturm08icra,
title = {Unsupervised Body Scheme Learning through Self-Perception},
author = {J. Sturm and C. Plagemann and W. Burgard},
booktitle = {International Conference on Robotics and Automation (ICRA)},
address = {Pasadena, CA, USA},
year = {2008},
month = {May},
pages = {3328--3333},
topic = {bodyschema},
}
@inproceedings{sturm08rss,
title = {Adaptive Body Scheme Models for Robust Robotic Manipulation},
author = {J. Sturm and C. Plagemann and W. Burgard},
booktitle = {Robotics: Science and Systems Conference (RSS)},
address = {Zurich, Switzerland},
year = {2008},
month = {June},
titleurl = {sturm08rss.pdf},
topic = {bodyschema},
keywords = {sturmselection},
}
@inproceedings{sturm08rss-workshop,
title = {Body Scheme Learning and Life-Long Adaptation for Robotic Manipulation},
author = {J. Sturm and C. Plagemann and W. Burgard},
booktitle = {Proc. of the Workshop on Robot Manipulation at the Robotics: Science and Systems Conference (RSS)},
address = {Zurich, Switzerland},
year = {2008},
month = {June},
titleurl = {sturm08rss-workshop.pdf},
topic = {bodyschema},
}
@inproceedings{sturm10rss-workshop,
title = {{3D} Pose Estimation, Tracking and Model Learning of Articulated Objects from Dense Depth Video using Projected Texture Stereo},
author = {J. Sturm and K. Konolige and C. Stachniss and W. Burgard},
booktitle = {Proc. of the Workshop on Advanced Reasoning with Depth Cameras at the Robotics: Science and Systems Conference (RSS)},
address = {Zaragoze, Spain},
year = {2010},
month = {June},
titleurl = {sturm10rss.pdf},
topic = {articulated-objects},
}
@inproceedings{eppner09icra,
author = {C. Eppner and J. Sturm and M. Bennewitz and C. Stachniss and W. Burgard},
title = {Imitation Learning with Generalized Task Descriptions},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2009},
address = {Kobe, Japan},
month = {May},
titleurl = {eppner09icra.pdf},
topic = {imitation-learning},
}
@inproceedings{schulz09gwr,
author = {H. Schulz and L. Ott and J. Sturm and W. Burgard},
title = {Learning Kinematics from Direct Self-Observation Using Nearest-Neighbor Methods},
booktitle = {Proc. of the German Workshop on Robotics},
year = {2009},
month = {June},
titleurl = {schulz09gwr.pdf},
topic = {bodyschema},
}
@inproceedings{sturm09rss-manip,
author = {J. Sturm and C. Stachniss and V. Pradeep and C. Plagemann and K. Konolige and W. Burgard},
title = {Towards Understanding Articulated Objects},
booktitle = {Proc. of the Workshop on Robot Manipulation at Robotics: Science and Systems Conference (RSS)},
year = {2009},
month = {June},
titleurl = {sturm09rss-manip.pdf},
topic = {articulated-objects},
}
@inproceedings{sturm09ijcai,
author = {J. Sturm and V. Pradeep and C. Stachniss and C. Plagemann and K. Konolige and W. Burgard},
title = {Learning Kinematic Models for Articulated Objects},
booktitle = {Proc. of the International Joint Conference on Artificial Intelligence (IJCAI)},
year = {2009},
month = {July},
titleurl = {sturm09ijcai.pdf},
topic = {articulated-objects},
keywords = {sturmselection},
}
@inproceedings{meyerdel09iros,
author = {D. Meyer-Delius and J. Sturm and W. Burgard},
title = {Regression-Based Online Situation Recognition for Vehicular Traffic Scenarios},
booktitle = {Proc. of the International Conference on Intelligent Robot Systems (IROS)},
year = {2009},
month = {Oct.},
titleurl = {meyerdelius09iros.pdf},
topic = {imitation-learning},
}
@inproceedings{schneider09iros,
author = {A. Schneider and J. Sturm and C. Stachniss and M. Reisert and H. Burkhardt and W. Burgard},
title = {Object Identification with Tactile Sensors Using Bag-of-Features},
booktitle = {Proc. of the International Conference on Intelligent Robot Systems (IROS)},
year = {2009},
month = {Oct.},
titleurl = {schneida09iros.pdf},
topic = {tactile-sensing},
}
@article{sturm09jp,
title = {Body schema learning for robotic manipulators from visual self-perception},
journal = {Journal of Physiology-Paris},
volume = {103},
number = {3-5},
pages = {220--231},
year = {2009},
issn = {0928-4257},
doi = {DOI: 10.1016/j.jphysparis.2009.08.005},
url = {http://www.sciencedirect.com/science/article/B6VMC-4WY6JVM-D/2/0aaabe9b7dc9628c8c818fa87c8b56e9},
month = {Sept.},
author = {J. Sturm and C. Plagemann and W. Burgard},
titleurl = {sturm09jp.pdf},
topic = {bodyschema},
}
@inproceedings{sturm10icra,
author = {J. Sturm and K. Konolige and C. Stachniss and W. Burgard},
title = {Vision-based Detection for Learning Articulation Models of Cabinet Doors and Drawers in Household Environments},
booktitle = {International Conference on Robotics and Automation (ICRA)},
address = {Anchorage, Alaska},
year = {2010},
month = {May},
topic = {articulated-object},
}
@inproceedings{chitta10icra,
author = {S. Chitta and M. Piccoli and J. Sturm},
title = {Tactile Object Class and Internal State Recognition for Mobile Manipulation},
booktitle = {International Conference on Robotics and Automation (ICRA)},
address = {Anchorage, Alaska},
year = {2010},
month = {May},
titleurl = {},
topic = {tactile-sensing},
}
@inproceedings{sturm10iros,
author = {J. Sturm and A. Jain and C. Stachniss and C. C. Kemp and W. Burgard},
title = {Operating Articulated Objects Based on Experience},
booktitle = {Proc. of the International Conference on Intelligent Robot Systems (IROS)},
address = {Taipei, Taiwan},
year = {2010},
month = {Oct.},
titleurl = {sturm10iros.pdf},
topic = {articulated-objects},
}
@article{sturm08ras,
author = {J. Sturm and A. Visser},
title = {An appearance-based visual compass for mobile robots},
journal = {Robotics and Autonomous Systems},
volume = {57},
number = {5},
year = {2009},
issn = {0921-8890},
pages = {536--545},
doi = {http://dx.doi.org/10.1016/j.robot.2008.10.002},
url = {http://www.informatik.uni-freiburg.de/~sturm/media/sturm09ras.pdf},
month = {May},
titleurl = {sturm09ras.pdf},
topic = {robocup},
}
@article{chitta10tro,
author = {S. Chitta and J. Sturm and M. Piccoli and W. Burgard},
title = {Tactile Sensing for Mobile Manipulation},
journal = {IEEE Transactions on Robotics (T-RO)},
titleurl = {chitta10tro.pdf},
year = {2011},
topic = {tactile-sensing},
}
@inproceedings{Strekalovskiy-Cremers-cvpr11,
author = {E. Strekalovskiy and D. Cremers},
title = {Total Variation for Cyclic Structures: Convex Relaxation and Efficient Minimization},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2011},
address = {Colorado Springs, Colorado},
month = {jun},
titleurl = {strekalovskiy_cremers_cvpr11.pdf},
topic = {Convex Relaxation Methods},
keywords = {convex-relaxation},
}
@inproceedings{GC11:iccv,
author = {B. Goldluecke and D. Cremers},
title = {Introducing Total Curvature for Image Processing},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2011},
topic = {Convex Relaxation Methods},
keywords = {convex-relaxation},
titleurl = {GC11_iccv.pdf},
}
@inproceedings{SGC11:iccv,
author = {E. Strekalovskiy and B. Goldluecke and D. Cremers},
title = {Tight Convex Relaxations for Vector-Valued Labeling Problems},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2011},
titleurl = {sgc11_iccv.pdf},
topic = {Convex Relaxation Methods, Optic Flow},
keywords = {convex-relaxation,optical-flow},
}
@inproceedings{AKGC11:iccv,
author = {M. Aubry and K. Kolev and B. Goldluecke and D. Cremers},
title = {Decoupling Photometry and Geometry in Dense Variational Camera Calibration},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2011},
titleurl = {AKGC11_iccv.pdf},
keywords = {3d-reconstruction},
}
@article{Kolev-et-al-PR11,
author = {K. Kolev and N. Kirchgessner and S. Houben and A. Csiszar and W. Rubner and C. Palm and B. Eiben and R. Merkel and D. Cremers},
title = {A Variational Approach to Vesicle Membrane Reconstruction from Fluorescence Imaging},
journal = {Pattern Recognition},
volume = {44},
pages = {2944--2958},
year = {2011},
titleurl = {kolev_pr11.pdf},
keywords = {3d-reconstruction, medical imaging, biology},
}
@article{Kolev_et_al_pami12,
author = {K. Kolev and T. Brox and D. Cremers},
title = {Fast Joint Estimation of Silhouettes and Dense {3D} Geometry from Multiple Images},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {2012},
volume = {34},
number = {3},
pages = {493--505},
titleurl = {Kolev_et_al_pami12.pdf},
topic = {3D Reconstruction},
keywords = {convex-relaxation, 3d-reconstruction},
}
@inproceedings{Strekalovskiy-Cremers-iccv11,
author = {E. Strekalovskiy and D. Cremers},
title = {Generalized Ordering Constraints for Multilabel Optimization},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2011},
titleurl = {strekalovskiy_cremers_iccv2011.pdf},
topic = {Convex Relaxation Methods},
keywords = {convex-relaxation},
}
@inproceedings{hess11wuu,
title = {Learning the State Transition Model to Efficiently Clean Surfaces with Mobile Manipulation Robots},
author = {J. Hess and J. Sturm and W. Burgard},
booktitle = {Proc. of the Workshop on Manipulation under Uncertainty at the IEEE Int.~Conf.~on Robotics and Automation (ICRA)},
address = {Shanghai, China},
year = {2011},
month = {May},
}
@inproceedings{engelhard11euron,
title = {Real-time 3D visual SLAM with a hand-held camera},
author = {N. Engelhard and F. Endres and J. Hess and J. Sturm and W. Burgard},
booktitle = {Proc. of the RGB-D Workshop on 3D Perception in Robotics at the European Robotics Forum},
address = {Vasteras, Sweden},
year = {2011},
month = {April},
keywords = {rgb-d,rgb-d benchmark,vslam},
titleurl = {http://youtu.be/NR-ycTNcQu0},
}
@inproceedings{sturm11rss-rgbd,
title = {Towards a benchmark for RGB-D SLAM evaluation},
author = {J. Sturm and S. Magnenat and N. Engelhard and F. Pomerleau and F. Colas and W. Burgard and D. Cremers and R. Siegwart},
booktitle = {Proc. of the RGB-D Workshop on Advanced Reasoning with Depth Cameras at Robotics: Science and Systems Conf.~(RSS)},
address = {Los Angeles, USA},
year = {2011},
month = {June},
keywords = {rgb-d,rgb-d benchmark,vslam},
titleurl = {sturm_et_al_rss11-talk.pdf},
}
@article{sturm11jair,
title = {A Probabilistic Framework for Learning Kinematic Models of Articulated Objects},
author = {J. Sturm and C. Stachniss and W. Burgard},
journal = {Journal on Artificial Intelligence Research (JAIR)},
year = {2011},
volume = {41},
pages = {477--626},
month = {August},
topic = {articulated-objects},
}
@inproceedings{Visser06robocup-tdp,
author = {A. Visser and P. van Rossum and J. Westra and J. Sturm and D. A. van Sand M. de Greef},
title = {Dutch AIBO Team at RoboCup 2006},
year = {2006},
month = {June},
booktitle = {Proceedings CD RoboCup 2006, Bremen, Germany},
topic = {robocup},
}
@inproceedings{Wijngaards05robocup-tdp,
author = {N. Wijngaards and F. Dignum and P. Jonker and T. de Ridder and A. Visser and S. Leijnen and J. Sturm},
title = {Dutch AIBO Team at RoboCup 2005},
year = {2005},
month = {July},
booktitle = {Proceedings CD RoboCup 2005, Osaka, Japan},
topic = {robocup},
}
@techreport{Sturm05robocup-techrep,
author = {J. Sturm and A. Visser and N. Wijngaards},
title = {{D}utch {A}ibo {T}eam: Technical Report {R}obo{C}up 2005},
institution = {Dutch Aibo Team},
month = {Oct.},
year = {2005},
topic = {robocup},
}
@techreport{Visser06robocup-techrep,
author = {A. Visser and J. Sturm and P. van Rossum and J. Westra and T. Bink},
title = {{D}utch {A}ibo {T}eam: Technical Report {R}obo{C}up 2006},
institution = {Dutch Aibo Team},
month = {Dec.},
year = {2006},
topic = {robocup},
}
@mastersthesis{sturm2006msc,
author = {J. Sturm},
title = {An appearance-based Visual Compass for Mobile Robots},
school = {University of Amsterdam},
address = {the Netherlands},
year = {2006},
month = {Dec.},
topic = {robocup},
}
@phdthesis{sturm11phd,
author = {J. Sturm},
title = {Approaches to Probabilistic Model Learning for Mobile Manipulation Robots},
school = {University of Freiburg},
address = {Germany},
year = {2011},
month = {May},
award = {Received the Artificial Intelligence Dissertation Award 2011 (ECCAI) and the Wolfgang-Genter-Award 2011 (University of Freiburg); Finalist at the Georges-Giralt-Award 2012 (EURON); Selected for the Best Paper Track at IJCAI 2013},
topic = {articulated-objects,imitation-learning,bodyschema,tactile-sensing},
keywords = {sturmselection},
}
@article{kybic_cviu11,
title = {Bootstrap Optical Flow and Uncertainty Measure},
author = {J. Kybic and C. Nieuwenhuis},
journal = {Computer Vision and Image Understanding},
year = {2011},
volume = {115},
pages = {1449--1462},
topic = {optical flow},
keywords = {optical flow,optical-flow},
titleurl = {kybic_nieuwenhuis.pdf},
}
@inproceedings{Nieuwenhuis_emmcvpr11,
author = {C. Nieuwenhuis and E. Toeppe and D. Cremers},
title = {Space-Varying Color Distributions for Interactive Multiregion Segmentation: Discrete versus Continuous Approaches},
year = {2011},
booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)},
topic = {segmentation, Convex Relaxation Methods},
titleurl = {nieuwenhuis_et_al_emmcvpr11.pdf},
pages = {177-190},
keywords = {segmentation, convex-relaxation},
}
@inproceedings{KC11:iccv,
author = {M. Klodt and D. Cremers},
title = {A Convex Framework for Image Segmentation with Moment Constraints},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2011},
titleurl = {kc11_iccv.pdf},
topic = {segmentation, Convex Relaxation Methods},
keywords = {segmentation, convex-relaxation, medical imaging},
}
@inproceedings{aubry-et-al-4dmod11,
author = {M. Aubry and U. Schlickewei and D. Cremers},
title = {The Wave Kernel Signature: A Quantum Mechanical Approach To Shape Analysis},
booktitle = {I{EEE} {I}nternational {C}onference on {C}omputer {V}ision ({ICCV}) - {W}orkshop on {D}ynamic {S}hape {C}apture and {A}nalysis ({4DMOD})},
year = {2011},
titleurl = {compute_WKS.m},
keywords = {Shape Analysis},
topic = {Shape Analysis},
}
@inproceedings{steinbruecker_sturm_cremers_iccv11,
author = {F. Steinbruecker and J. Sturm and D. Cremers},
title = {Real-Time Visual Odometry from Dense {RGB-D} Images},
booktitle = {Workshop on Live Dense Reconstruction with Moving Cameras at the Intl. Conf. on Computer Vision (ICCV)},
year = {2011},
keywords = {dense visual odometry,rgb-d,rgb-d benchmark,vo,vslam},
}
@inproceedings{Steinbruecker-et-al-vmv09,
author = {F. Steinbruecker and T. Pock and D. Cremers},
title = {Advanced Data Terms for Variational Optic Flow Estimation},
booktitle = {Proceedings Vision, Modeling and Visualization (VMV)},
year = {2009},
address = {Braunschweig, Germany},
titleurl = {steinbruecker_et_al_vmv09.pdf},
topic = {Motion},
keywords = {optical-flow},
}
@mastersthesis{Stuehmer-2010-dipl,
author = {J. Stühmer},
title = {Ein {V}ariationsansatz zur {S}chätzung von dichten {T}iefenkarten im {K}ontext des {S}tructure-from-{M}otion},
type = {Diplomarbeit},
school = {TU Dresden},
year = {2010},
address = {Germany},
month = {Jul},
topic = {3D Reconstruction},
}
@article{ArboledaEstudillo2010,
title = {Movement Directionality in Collective Migration of Germ Layer Progenitors},
author = {Y. Arboleda-Estudillo and M. Krieg and J. Stühmer and N. A. Licata and D. J. Muller and C.-P. Heisenberg},
journal = {Current Biology},
volume = {20},
number = {2},
pages = {161 - 169},
year = {2010},
}
@article{carvalho2010,
author = {L. Carvalho and J. Stühmer and J. S. Bois and Y. Kalaidzidis and V. Lecaudey and C. P. Heisenberg},
title = {{{C}ontrol of convergent yolk syncytial layer nuclear movement in zebrafish}},
journal = {Development},
year = {2009},
volume = {136},
pages = {1305--1315},
month = {Apr},
}
@inproceedings{becker11irosws,
author = {J. Becker and C. Bersch and D. Pangercic and B. Pitzer and T. Rühr and B. Sankaran and J. Sturm and C. Stachniss and M. Beetz and W. Burgard},
title = {Mobile Manipulation of Kitchen Containers},
booktitle = {Proc.~of the IROS'11 Workshop on Results, Challenges and Lessons Learned in Advancing Robots with a Common Platform},
address = {San Francisco, CA, USA},
year = {2011},
}
@inproceedings{endres12icra,
author = {F. Endres and J. Hess and N. Engelhard and J. Sturm and D. Cremers and W. Burgard},
title = {An Evaluation of the {RGB-D SLAM} System},
booktitle = {International Conference on Robotics and Automation (ICRA)},
address = {St. Paul, MA, USA},
month = {May},
year = {2012},
keywords = {rgb-d,rgb-d benchmark,sturmselection,vslam},
}
@inproceedings{ruehr12icra,
author = {T. Ruehr and J. Sturm and D. Pangercic and M. Beetz and D. Cremers},
title = {A Generalized Framework for Opening Doors and Drawers in Kitchen Environments},
booktitle = {International Conference on Robotics and Automation (ICRA)},
address = {St. Paul, MA, USA},
month = {May},
year = {2012},
}
@phdthesis{Kolev-diss,
author = {K. Kolev},
title = {Convexity in Image-Based 3D Surface Reconstruction},
school = {Department of Computer Science, Technical University Munich, Germany},
month = {January},
year = {2012},
titleurl = {Kolev-diss.pdf},
keywords = {convex-relaxation},
}
@inproceedings{SOKC-11,
author = {M. Schikora and M.Oispuu and W. Koch and D. Cremers},
title = { Multiple Source Localization Based on Biased Bearings Using the Intensity Filter - Approach and Experimental Results },
month = {December},
year = {2011},
booktitle = { 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing},
address = { San Juan, Puerto Rico,},
titleurl = {2011_SOKC_CAMSAP.pdf},
}
@inproceedings{MSKC-11,
author = {S. Madhogaria and M. Schikora and W. Koch and D. Cremers},
title = {Pixel-based Classification Method for Detecting Unhealthy Regions in Leaf Images},
month = {September},
year = {2011},
booktitle = {6th IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) },
address = {Berlin, Germany},
titleurl = {2011_MSKC_SDF.pdf},
keywords = {biology},
}
@inproceedings{SKSC-11,
author = {M. Schikora and W. Koch and R.L. Streit and D. Cremers},
title = {Sequential Monte Carlo Method for the iFilter},
month = {July},
year = {2011},
booktitle = {14th International Conference on Information Fusion (FUSION)},
address = {Chicago, IL, USA},
titleurl = {2011_SKSC_fusion.pdf},
}
@inproceedings{OS-11,
author = {M. Oispuu and M. Schikora},
title = {Multiple Emitter Localization Using a Realistic Airborne Array Sensor},
month = {July},
year = {2011},
booktitle = {14th International Conference on Information Fusion (FUSION)},
address = {Chicago, IL, USA},
titleurl = {2011_OS_fusion.pdf},
}
@inproceedings{SKC-11,
author = {M. Schikora and W. Koch and D. Cremers},
title = {Multi-object tracking via high accuracy optical flow and finite set statistics},
month = {Mai},
year = {2011},
booktitle = {International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
address = {Prag, Czech Republic},
keywords = {optical-flow},
titleurl = {2011_SKC_ICASSP.pdf},
}
@inproceedings{SR-09,
author = {M. Schikora and B. Romba},
title = {A Framework for Multiple Radar and Multiple 2D/3D Camera Fusion},
month = {October},
year = {2009},
booktitle = {4th IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) },
address = {Luebeck, Germany},
titleurl = {2009_SR_sdf.pdf},
}
@inproceedings{S-09,
author = {M. Schikora},
title = {Global Optimal Multiple Object Detection using the Fusion of Shape and Color Information},
month = {August},
year = {2009},
booktitle = {7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR) },
address = {Bonn, Germany},
titleurl = {2009_S_emmcvpr.pdf},
}
@inproceedings{SHRW-09,
author = {M. Schikora and M. Häge and E. Ruthotto and K. Wild},
title = {A Convex Formulation for Color Image Segmentation in the Context of Passive Emitter Localization},
month = {July},
year = {2009},
booktitle = {12th International Conference on Information Fusion (FUSION) },
address = {Seattle, WA, USA},
titleurl = {2009_SHRW_fusion.pdf},
}
@incollection{sturm12body,
title = {Body Schema Learning},
author = {J. Sturm and C. Plagemann and W. Burgard},
booktitle = {Towards Service Robots for Everyday Environments},
pages = {131--161},
year = {2012},
publisher = {Springer Berlin/Heidelberg},
}
@incollection{SKSC-book-2012,
author = {M. Schikora and W. Koch and R. L. Streit and D. Cremers},
title = { A Sequential Monte Carlo Method for Multi-Target Tracking with the Intensity Filter},
booktitle = { Advances in Intelligent Signal Processing and Data Mining},
publisher = {Springer-Verlag Berlin Heidelberg},
pages = {55-87},
year = {2012},
titleurl = {2012_SKSC_book.pdf},
}
@article{endres12at,
author = {F. Endres and J. Hess and N. Engelhard and J. Sturm and W. Burgard},
title = {{Online-6D-SLAM} f\"ur {RGB-D-Sensoren}},
journal = {at - Automatisierungstechnik},
month = {May},
year = {2012},
volume = {60},
pages = {270--278keywords=vslam},
}
@inproceedings{kaestner10bayesian,
author = {R. Kaestner and N. Engelhard and R. Triebel and R. Siegwart},
title = {A Bayesian Approach to Learning 3D Representations of Dynamic Environments},
booktitle = {Proc. of The 12th International Symposium on Experimental Robotics (ISER)},
year = {2010},
publisher = {Springer Press},
address = {Berlin},
}
@inproceedings{Joho-RSS-12,
author = {D Joho and GD Tipaldi and N Engelhard and C Stachniss and W Burgard},
title = {Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction},
booktitle = {Proceedings of Robotics: Science and Systems},
year = {2012},
address = {Sydney, Australia},
month = {July},
}
@mastersthesis{toeppe-msc08,
author = {E. Toeppe},
title = {Shape Matching mittels Graph Cuts},
school = {University of Bonn},
adress = {Bonn, Germany},
year = {2008},
award = {Awarded Best Master Thesis of the Year (Bonn Society for Computer Science)},
}
@inproceedings{Toeppe-et-al-LNCS-2011,
author = {E. Toeppe and M. R. Oswald and D. Cremers and C. Rother},
title = {Silhouette-Based Variational Methods for Single View Reconstruction},
booktitle = {Proceedings of the 2010 international conference on Video Processing and Computational Video},
editor = {D. Cremers and M. A. Magnor and M. R. Oswald and L. Zelnik-Manor},
year = {2011},
isbn = {978-3-642-24869-6},
location = {Dagstuhl Castle, Germany},
pages = {104--123},
numpages = {20},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
keywords = {convex-relaxation, convex optimization, image-based modeling, singleview},
}
@inproceedings{2012_SGMCKS_DFTT,
address = {London, UK},
author = {M. Schikora and A. Gning and L. Mihaylova and D. Cremers and W. Koch and R. Streit},
booktitle = {9th IET Data Fusion and Target Tracking Conference},
month = {May},
title = {Box-Particle Intensity Filter},
year = {2012},
titleurl = {2012_SGMCKS_DFTT.pdf},
}
@inproceedings{2012_SGMCK_FUSION,
address = {Singapore},
author = {M. Schikora and A. Gning and L. Mihaylova and D. Cremers and W. Koch},
booktitle = {15th International Conference on Information Fusion (FUSION)},
month = {July},
title = {Box-Particle PHD Filter for Multi-Target Tracking},
year = {2012},
titleurl = {2012_SGMCK_FUSION.pdf},
}
@article{2012_SNMKCHKS_BIOINF,
author = {M. Schikora and B. Neupane and S. Madhogaria and W. Koch and D. Cremers and H. Hirt and K.-H. Kogel and A. Schikora},
journal = {BMC Bioinformatics},
month = {July},
number = {171},
title = {An image classification approach to analyze the suppression of plant immunity by the human pathogen Salmonella Typhimurium},
volume = {13},
year = {2012},
titleurl = {2012_SNMKCHKS_BIOINF.pdf},
keywords = {biology},
}
@article{Madhogaria-et-al-taes15,
author = {S. Madhogaria and P. M. Baggenstoss and M. Schikora and W. Koch and D. Cremers},
journal = {IEEE T. on Aerospace and Electronic Systems},
number = {1},
title = {Car detection by fusion of HOG and causal MRF},
volume = {51},
pages = {575--590},
year = {2015},
}
@inproceedings{HenschelLCR18,
author = {R. Henschel and L. Leal-Taixé and D. Cremers and B. Rosenhahn},
title = {Fusion of Head and Full-Body Detectors for Multi-Object Tracking},
booktitle = {2018 {IEEE} Conference on Computer Vision and Pattern Recognition
Workshops, {CVPR} Workshops 2018, Salt Lake City, UT, USA, June 18-22,
2018},
pages = {1428--1437},
publisher = {{IEEE} Computer Society},
year = {2018},
}
@article{Klodt-et-al-bmc15,
author = {M. Klodt and K. Herzog and R. Töpfer and D. Cremers},
journal = {BMC Bioinformatics},
month = {May},
number = {143},
title = {Field phenotyping of grapevine growth using dense stereo reconstruction},
volume = {16},
year = {2015},
keywords = {biology},
}
@inproceedings{zhang12iros,
author = {L. Zhang and J. Sturm and D. Cremers and D. Lee},
title = {Real-Time Human Motion Tracking using Multiple Depth Cameras},
booktitle = {Proc. of the International Conference on Intelligent Robot Systems (IROS)},
year = {2012},
month = {Oct.},
keywords = {rgb-d},
}
@inproceedings{Strekalovskiy-et-al-eccv12,
author = {E. Strekalovskiy and C. Nieuwenhuis and D. Cremers},
title = {Nonmetric Priors for Continuous Multilabel Optimization},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2012},
address = {Firenze, Italy},
month = {oct},
publisher = {Springer},
topic = {Convex Relaxation Methods,Segmentation},
keywords = {convex-relaxation, Segmentation},
}
@inproceedings{Windheuser-et-al-eccv12,
author = {T. Windheuser and H. Ishikawa and D. Cremers},
title = {Generalized Roof Duality for Multi-Label Optimization: Optimal Lower Bounds and Persistency},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2012},
address = {Firenze, Italy},
month = {oct},
}
@inproceedings{Windheuser-et-al-miru12,
author = {T. Windheuser and H. Ishikawa and D. Cremers},
title = {QPBOアルゴリズムの多値化による非劣モジュラエネルギー最小化 [QPBO arugorizumu no tachika ni yoru hiretsu mojura enerugī saishōka]},
booktitle = {Meeting on Image Recognition and Understanding},
year = {2012},
address = {Fukuoka, Japan},
month = {aug},
}
@inproceedings{Oswald-et-al-cvpr12,
author = {M. R. Oswald and E. Toeppe and D. Cremers},
title = {Fast and Globally Optimal Single View Reconstruction of Curved Objects},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2012},
address = {Providence, Rhode Island},
month = {jun},
titleurl = {oswald_toeppe_cremers_cvpr12.pdf},
topic = {Single View Reconstruction},
pages = {534-541},
keywords = {convex-relaxation, singleview},
}
@inproceedings{Strekalovskiy-et-al-cvpr12,
author = {E. Strekalovskiy and A. Chambolle and D. Cremers},
title = {A Convex Representation for the Vectorial Mumford-Shah Functional},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2012},
address = {Providence, Rhode Island},
month = {jun},
titleurl = {strekalovskiy_chambolle_cremers_cvpr12.pdf},
topic = {Convex Relaxation Methods},
keywords = {convex-relaxation},
}
@inproceedings{engel12iros,
author = {J. Engel and J. Sturm and D. Cremers},
title = {Camera-Based Navigation of a Low-Cost Quadrocopter},
booktitle = {Proc. of the International Conference on Intelligent Robot Systems (IROS)},
year = {2012},
month = {Oct.},
keywords = {quadrocopter,ardrone,sturmselection,vslam},
}
@inproceedings{sturm12iros,
author = {J. Sturm and N. Engelhard and F. Endres and W. Burgard and D. Cremers},
title = {A Benchmark for the Evaluation of RGB-D SLAM Systems},
booktitle = {Proc. of the International Conference on Intelligent Robot Systems (IROS)},
year = {2012},
month = {Oct.},
keywords = {rgb-d,rgb-d benchmark,sturmselection,dataset,vslam},
}
@inproceedings{engel12vicomor,
author = {J. Engel and J. Sturm and D. Cremers},
title = {Accurate Figure Flying with a Quadrocopter Using Onboard Visual and Inertial Sensing},
booktitle = {Proc. of the Workshop on Visual Control of Mobile Robots (ViCoMoR) at the IEEE/RJS International Conference on Intelligent Robot Systems (IROS)},
year = {2012},
month = {Oct.},
keywords = {quadrocopter, ardrone,inertial,vslam},
}
@article{nieuwenhuis-cremers-pami12_2,
author = {C. Nieuwenhuis and D. Cremers},
title = {Spatially Varying Color Distributions for Interactive Multi-Label Segmentation},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {2013},
volume = {35},
number = {5},
pages = {1234-1247},
titleurl = {nieuwenhuis-cremers-pami12_2.pdf},
topic = {Segmentation},
keywords = {convex-relaxation, segmentation, medical imaging},
}
@inproceedings{sturm12iros_ws,
author = {J. Sturm and W. Burgard and D. Cremers},
title = {Evaluating Egomotion and Structure-from-Motion Approaches Using
the {TUM RGB-D} Benchmark},
booktitle = {Proc. of the Workshop on Color-Depth Camera Fusion in
Robotics at the IEEE/RJS International Conference on Intelligent Robot Systems
(IROS)},
year = {2012},
month = {Oct.},
keywords = {rgb-d,rgb-d benchmark,dataset,vo,vslam},
}
@mastersthesis{engel2011msc,
author = {J. Engel},
title = {Autonomous Camera-Based Navigation of a Quadrocopter},
school = {Technical University Munich},
address = {Germany},
year = {2011},
month = {Dec.},
keywords = {quadrocopter, ardrone, vslam},
award = {Distinguished with the SIEMENS award for best Master's Thesis 2012},
}
@inproceedings{Sprenger-et-al-ismrm14,
author = {T. Sprenger and J.I. Sperl and B. Fernandez and V. Golkov and E.T. Tan and C.J. Hardy and L. Marinelli and M. Czisch and P. Sämann and A. Haase and M.I. Menzel},
title = {Novel Acquisition Scheme for Diffusion Kurtosis Imaging Based on Compressed-Sensing Accelerated {DSI} Yielding Superior Image Quality},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
year = {2014},
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing},
}
@inproceedings{Sperl-et-al-ismrm14,
author = {J.I. Sperl and T. Sprenger and E.T. Tan and V. Golkov and M.I. Menzel and C.J. Hardy and L. Marinelli},
title = {Total Variation-Regularized Compressed Sensing Reconstruction for Multi-Shell Diffusion Kurtosis Imaging},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
year = {2014},
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing, total variation},
}
@inproceedings{Golkov-et-al-ismrm14-6d-cs,
author = {V. Golkov and M.I. Menzel and T. Sprenger and M. Souiai and A. Haase and D. Cremers and J.I. Sperl},
title = {Direct Reconstruction of the Average Diffusion Propagator with Simultaneous Compressed-Sensing-Accelerated Diffusion Spectrum Imaging and Image Denoising by Means of Total Generalized Variation Regularization},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
year = {2014},
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing, total generalized variation, primal-dual},
}
@inproceedings{Golkov-et-al-ismrm14-semi-joint,
author = {V. Golkov and M.I. Menzel and T. Sprenger and A. Haase and D. Cremers and J.I. Sperl},
title = {Semi-Joint Reconstruction for Diffusion {MRI} Denoising Imposing Similarity of Edges in Similar Diffusion-Weighted Images},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
year = {2014},
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing},
}
@inproceedings{sommer18joint,
author = {C. Sommer and D. Cremers},
title = {Joint Representation of Primitive and Non-primitive Objects for 3D
Vision},
booktitle = {2018 International Conference on 3D Vision, 3DV 2018, Verona, Italy,
September 5-8, 2018},
pages = {160--169},
publisher = {{IEEE} Computer Society},
doi = {10.1109/3DV.2018.00028},
year = {2018},
keywords = {Geometry Processing, SLAM},
}
@inproceedings{Golkov-et-al-ohbm14,
author = {V. Golkov and M.I. Menzel and T. Sprenger and M. Souiai and A. Haase and D. Cremers and J.I. Sperl},
title = {Improved Diffusion Kurtosis Imaging and Direct Propagator Estimation Using {6-D} Compressed Sensing},
booktitle = {Organization for Human Brain Mapping (OHBM) Annual Meeting},
year = {2014},
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing, total generalized variation, primal-dual},
}
@incollection{Golkov-et-al-cdmri14,
author = {V. Golkov and J.I. Sperl and M.I. Menzel and T. Sprenger and E.T. Tan and L. Marinelli and C.J. Hardy and A. Haase and D. Cremers},
title = {Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per {q}-Space Coordinate},
booktitle = {Computational Diffusion {MRI}},
publisher = {Springer},
year = {2014},
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, total generalized variation, super-resolution, primal-dual},
award = {Book Chapter, and Oral Presentation at {MICCAI} 2014 Workshop on Computational Diffusion {MRI}},
}
@inproceedings{Golkov-et-al-esmrmb13-comparison,
author = {V. Golkov and T. Sprenger and A. Menini and M.I. Menzel and D. Cremers and J.I. Sperl},
title = {Effects of Low-Rank Constraints, Line-Process Denoising, and {q}-Space Compressed Sensing on Diffusion {MR} Image Reconstruction and Kurtosis Tensor Estimation},
booktitle = {European Society for Magnetic Resonance in Medicine and Biology ({ESMRMB}) Annual Meeting},
year = {2013},
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing},
award = {Oral Presentation},
}
@inproceedings{Golkov-et-al-esmrmb13-iic-nnc,
author = {V. Golkov and T. Sprenger and M.I. Menzel and D. Cremers and J.I. Sperl},
title = {Line-Process-Based Joint {SENSE} Reconstruction of Diffusion Images with Intensity Inhomogeneity Correction and Noise Non-Stationarity Correction},
booktitle = {European Society for Magnetic Resonance in Medicine and Biology ({ESMRMB}) Annual Meeting},
year = {2013},
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging},
award = {Certificate of Merit Award},
}
@inproceedings{Golkov-et-al-dsismrm13,
author = {V. Golkov and M.I. Menzel and T. Sprenger and A. Menini and D. Cremers and J.I. Sperl},
title = {Reconstruction, Regularization, and Quality in Diffusion {MRI} Using the Example of Accelerated Diffusion Spectrum Imaging},
booktitle = {16th Annual Meeting of the German Chapter of the {ISMRM}},
year = {2013},
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing},
award = {Oral Presentation},
}
@inproceedings{Golkov-et-al-podstrana13,
author = {V. Golkov and M.I. Menzel and T. Sprenger and A. Menini and D. Cremers and J.I. Sperl},
title = {Corrected Joint {SENSE} Reconstruction, Low-Rank Constraints, and Compressed-Sensing-Accelerated Diffusion Spectrum Imaging in Denoising and Kurtosis Tensor Estimation},
booktitle = {{ISMRM} Workshop on Diffusion as a Probe of Neural Tissue Microstructure},
year = {2013},
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing},
}
@inproceedings{Sprenger-et-al-ismrm13,
author = {T. Sprenger and B. Fernandez and J.I. Sperl and V. Golkov and M. Bach and E.T. Tan and K.F. King and C.J. Hardy and L. Marinelli and M. Czisch and P. Sämann and A. Haase and M.I. Menzel},
title = {{SNR}-dependent Quality Assessment of Compressed-Sensing-Accelerated Diffusion Spectrum Imaging Using a Fiber Crossing Phantom},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
year = {2013},
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing},
}
@inproceedings{Sperl-et-al-ismrm13,
author = {J.I. Sperl and E.T. Tan and T. Sprenger and V. Golkov and K.F. King and C.J. Hardy and L. Marinelli and M.I. Menzel},
title = {Phase Sensitive Reconstruction in Diffusion Spectrum Imaging Enabling Velocity Encoding and Unbiased Noise Distribution},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
year = {2013},
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging},
}
@inproceedings{Golkov-et-al-ismrm13,
author = {V. Golkov and T. Sprenger and M.I. Menzel and E.T. Tan and K.F. King and C.J. Hardy and L. Marinelli and D. Cremers and J.I. Sperl},
title = {Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of {SENSE} Reconstruction into Joint Reconstruction in Combination with {q}-Space Compressed Sensing},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
year = {2013},
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing},
}
@inproceedings{Sprenger-et-al-esmrmb12,
author = {T. Sprenger and B. Fernandez and M. Bach and J.I. Sperl and V. Golkov and E.T. Tan and L. Marinelli and K.F. King and C.J. Hardy and Q. Zhu and M. Czisch and P. Sämann and A. Haase and M.I. Menzel},
title = {Evaluation of {DSI} Imaging with Compressed Sensing under the Presence of Different Noise Levels on a Diffusion Phantom},
booktitle = {European Society for Magnetic Resonance in Medicine and Biology ({ESMRMB}) Annual Meeting},
year = {2012},
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing},
}
@inproceedings{Golkov-et-al-esmrmb12,
author = {V. Golkov and J.I. Sperl and T. Sprenger and H.-J. Bungartz and M. Sedlacek and E.T. Tan and L. Marinelli and C.J. Hardy and K.F. King and M.I. Menzel},
title = {Comparison of Diffusion Kurtosis Tensor Estimation Methods in an Advanced Quality Assessment Framework},
booktitle = {European Society for Magnetic Resonance in Medicine and Biology ({ESMRMB}) Annual Meeting},
year = {2012},
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging},
}
@article{nieuwenhuis-et-al-ijcv13,
author = {C. Nieuwenhuis and E. Toeppe and D. Cremers},
title = {A Survey and Comparison of Discrete and Continuous Multi-label Optimization Approaches for the Potts Model},
journal = {International Journal of Computer Vision},
volume = {104},
number = {3},
pages = {223-240},
year = {2013},
month = {sep},
keywords = {convex-relaxation, Segmentation},
}
@inproceedings{Oswald-et-al-LNCS-2012,
author = {M. R. Oswald and E. Toeppe and C. Nieuwenhuis and D. Cremers},
title = {A Survey on Geometry Recovery from a Single Image with Focus on Curved
Object Reconstruction},
booktitle = {Proceedings of the 2011 Conference on Innovations for Shape Analysis: Models and Algorithms},
year = {2011},
location = {Dagstuhl Castle, Germany},
publisher = {Springer-Verlag},
keywords = {singleview},
titleurl = {Oswald-et-al_2011-survey.pdf},
}
@article{Cremers_Strekalovskiy_jmiv12,
author = {D. Cremers and E. Strekalovskiy},
title = {Total Cyclic Variation and Generalizations},
journal = {Journal of Mathematical Imaging and Vision},
year = {2012},
month = {nov},
volume = {47},
number = {3},
pages = {258--277},
topic = {Convex Relaxation Methods},
keywords = {convex-relaxation},
titleurl = {Cremers_Strekalovskiy_jmiv12.pdf},
}
@inproceedings{kondermann_et_al08,
author = {D. Kondermann and C. Nieuwenhuis and A. Berthe and U. Kertzscher and C. Garbe},
title = {Motion Estimation Based on a Temporal Model of Fluid Flows},
booktitle = {13th International Symposium on Flow Visualization},
year = {2008},
}
@mastersthesis{brandl2012msc,
author = {M. Brandl},
title = {Face recognition with wave kernel signatures using a depth camera},
school = {Technical University of Munich},
address = {Germany},
year = {2012},
month = {Aug.},
topic = {rgb-d},
}
@inproceedings{ufer_et_al_eccv12,
author = {N. Ufer and M. Souiai and D. Cremers},
title = {Wehrli 2.0: An Algorithm for ”Tidying up Art”},
booktitle = {VISART “Where Computer Vision Meets Art” workshop, ECCV 2012},
year = {2012},
address = {Firenze, Italy},
month = {oct},
publisher = {Springer},
topic = {Segmentation},
keywords = {convex-relaxation, segmentation},
titleurl = {ufer_et_al_eccv12.pdf},
}
@mastersthesis{kerl2012msc,
author = {C. Kerl},
title = {Odometry from {RGB-D} Cameras for Autonomous Quadrocopters},
school = {Technical University Munich},
address = {Germany},
year = {2012},
month = {Nov.},
keywords = {quadrocopter,dense visual odometry,rgb-d,rgb-d benchmark,vo,vslam},
}
@misc{sturm12lecturenotes,
author = {J. Sturm},
title = {{Lecture Notes: Visual Navigation for Flying Robots}},
howpublished = {Technische Universit\"at M\"unchen, Germany},
year = {2012},
month = {June},
keywords = {quadrocopter,sturmselection,vslam},
award = {Distinguished with the TUM TeachInf Award for the best lecture in summer term 2012},
}
@misc{visnav2013lecturenotes,
author = {J. Sturm},
title = {{Lecture Notes: Visual Navigation for Flying Robots}},
howpublished = {Technische Universit\"at M\"unchen, Germany},
year = {2013},
month = {June},
keywords = {quadrocopter,vslam},
award = {Distinguished with the TUM TeachInf Award for the best lecture in summer term 2013},
}
@inproceedings{kerl13icra,
title = {Robust Odometry Estimation for RGB-D Cameras},
author = {C. Kerl and J. Sturm and D. Cremers},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2013},
month = {May},
award = {Best Vision Paper Award - Finalist},
keywords = {dense visual odometry,rgb-d,rgb-d benchmark,sturmselection,vo,vslam},
}
@inproceedings{toeppe_et_al_cvpr13,
author = {E. Toeppe and C. Nieuwenhuis and D. Cremers},
title = {Volume Constraints for Single View Reconstruction},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2013},
address = {Portland, USA},
topic = {Segmentation},
keywords = {singleview, convex-relaxation,segmentation},
titleurl = {toeppe_et_al_cvpr13.pdf},
}
@article{GSC13:vml,
author = {B. Goldluecke and E. Strekalovskiy and D. Cremers},
title = {Tight Convex Relaxations for Vector-Valued Labeling},
journal = {SIAM Journal on Imaging Sciences},
year = {2013},
volume = {6},
number = {3},
pages = {1626–-1664},
titleurl = {GSC13_siims.pdf},
topic = {Convex Relaxation Methods},
keywords = {convex-relaxation},
}
@inbook{petrovskaya12awareness,
author = {A. Petrovskaya and M. Perrollaz and L. Oliveira and L. Spinello and R. Triebel and A. Makris and J.-D. Yoder and U. Nunes and C. Laugier and P. Bessière},
chapter = {Handbook of Intelligent Vehicles},
title = {Awareness of Road Scene Participants for Autonomous Driving},
publisher = {Springer},
year = {2012},
}
@article{spinello10multiclass,
author = {L.Spinello and R. Triebel and R. Siegwart},
title = {Multiclass Multimodal Detection and Tracking in Urban Environments},
journal = {International Journal of Robotics Research},
year = {2010},
}
@article{kuemmerle08monte,
author = {R. Kümmerle and R. Triebel and P.Pfaff and W. Burgard},
title = {Monte Carlo localization in outdoor terrains using multilevel surface maps},
journal = {Journal of Field Robotics},
year = {2008},
volume = {25},
number = {6-7},
pages = {346-359},
}
@article{mozos07supervised,
author = {Ó. M Mozos and R. Triebel and P. Jensfelt and A. Rottmann and W. Burgard},
title = {Supervised semantic labeling of places using information extracted from sensor data},
journal = {Journal on Robotics and Autonomous Systems (RAS)},
year = {2007},
volume = {55},
number = {5},
pages = {391-402},
}
@article{pfaff07efficient,
author = {P. Pfaff and R. Triebel and W. Burgard},
title = {An Efficient Extension to Elevation Maps for Outdoor Terrain Mapping and Loop Closing},
journal = {International Journal of Robotics Research (IJRR)},
year = {2007},
volume = {26},
number = {2},
pages = {217-230},
}
@article{andreasson07noniterative,
author = {H. Andreasson and R. Triebel and A. Lilienthal},
title = {Non-iterative Vision-based Interpolation of 3D Laser Scans},
journal = {Autonomous Robots and Agents},
year = {2007},
volume = {76},
pages = {83-90},
}
@inproceedings{furgale13toward,
author = {P. Furgale and U. Schwesinger and M. Rufli and W. Derendarz and H. Grimmett and P. Mühlfellner and S. Wonneberger and J. Timpner and S. Rottmann and B. Li and B. Schmidt and T. N Nguyen and E. Cardarelli and S. Cattani and S. Brüning and S. Horstmann and M. Stellmacher and H. Mielenz and K. Köser and M. Beermann and C. Häne and L. Heng and G. H. Lee and F. Fraundorfer and R. Iser and R. Triebel and I. Posner and P. Newman and L. Wolf and M. Pollefeys and S. Brosig and J. Effertz and C. Pradalier and R. Siegwart},
title = {Toward Automated Driving in Cities using Close-to-Market Sensors},
booktitle = {Proc. of IEEE Intelligent Vehicles Symposium},
year = {2013},
}
@inproceedings{grimmett13knowing,
author = {H. Grimmett and R. Paul and R. Triebel and I. Posner},
title = {Knowing When We Don{’}t Know: Introspective Classification for Mission-Critical Decision Making},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2013},
}
@inproceedings{paul12semantic,
author = {R. Paul and R. Triebel and D. Rus and P. Newman},
title = {Semantic Categorization of Outdoor Scenes with Uncertainty Estimates using Multi-Class Gaussian Process Classification},
booktitle = {Proc. of the International Conference on Intelligent Robots and Systems (IROS)},
year = {2012},
}
@inproceedings{triebel12parsing,
author = {R. Triebel and R. Paul and D. Rus and P. Newman},
title = {Parsing Outdoor Scenes from Streamed 3D Laser Data Using Online Clustering and Incremental Belief Updates},
booktitle = {Robotics Track of AAAI Conference on Artificial Intelligence},
year = {2012},
}
@inproceedings{shin11unsupervised,
author = {J. Shin and R. Triebel and R. Siegwart},
title = {Unsupervised 3D Object Discovery and Categorization for Mobile Robots},
booktitle = {Proc. of the International Symposium on Robotics Research (ISRR)},
year = {2011},
}
@inproceedings{maye11bayesian,
author = {J. Maye and R. Triebel and L. Spinello and R. Siegwart},
title = {Bayesian On-line Learning of Driving Behaviors},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2011},
}
@inproceedings{spinello10exploiting,
author = {L. Spinello and R. Triebel and D. Vasquez and K. Arras and R Siegwart},
title = {Exploiting Repetitive Object Patterns for Model Compression and Completion},
booktitle = {European Conference on Computer Vision},
year = {2010},
}
@inproceedings{triebel10segmentation,
author = {R. Triebel and J. Shin and R. Siegwart},
title = {Segmentation and Unsupervised Part-based Discovery of Repetitive Objects},
booktitle = {Robotics: Science and Systems},
year = {2010},
}
@inproceedings{spinello10layered,
author = {L. Spinello and K. O. Arras and R. Triebel and R. Siegwart},
title = {A Layered Approach to People Detection in 3D Range Data},
booktitle = {special track on Physically Grounded AI of AAAI},
year = {2010},
}
@inproceedings{shin10unsupervised,
author = {J. Shin and R. Triebel and R. Siegwart},
title = {Unsupervised Discovery of Repetitive Objects},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2010},
}
@inproceedings{maye10inferring,
author = {J. Maye and L. Spinello and R. Triebel and R. Siegwart},
title = {Inferring the Semantics of Direction Signs in Public Places},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2010},
}
@inproceedings{spinello09detecting,
author = {L. Spinello and A. Macho and R. Triebel and R. Siegwart},
title = {Detecting Pedestrians at Very Small Scales},
booktitle = {Proc. of the International Conference on Intelligent Robots and Systems (IROS)},
year = {2009},
}
@inproceedings{spinello09multiclass,
author = {L. Spinello and R. Triebel and R. Siegwart},
title = {Multiclass Multimodal Detection and Tracking in Urban Environments},
booktitle = {Proc. of Field and Service Robotics (FSR)},
year = {2009},
}
@inproceedings{engel09medial,
author = {D. Engel and L. Spinello and R. Triebel and C. Curio and R. Siegwart and H. Bülthoff},
title = {Medial Features for Superpixel Segmentation},
booktitle = {Proc. of the IAPR Conference on Machine Vision Applications (MVA)},
year = {2009},
}
@inproceedings{spinello08multimodal,
author = {L. Spinello and R. Triebel and R. Siegwart},
title = {Multimodal Detection and Tracking of Pedestrians in Urban Environments with Explicit Ground Plane Extraction},
booktitle = {Proc. of the International Conference on Intelligent Robots and Systems (IROS)},
year = {2008},
}
@inproceedings{spinello08multimodal2,
author = {L. Spinello and R. Triebel and R. Siegwart},
title = {Multimodal People Detection and Tracking in Crowded Scenes},
booktitle = {Proc. of the Twenty-Third Conference on Artificial Intelligence (AAAI)},
year = {2008},
}
@inproceedings{triebel07collective,
author = {R. Triebel and Ó. M Mozos and W. Burgard},
title = {Collective Classification for Labeling of Places and Objects in {2D and 3D} Range Data},
booktitle = {Proc. of the 31th Annual Conference of the German Classification Society on Data Analysis, Machine Learning, and Applications},
year = {2007},
}
@inproceedings{kuemmerle07active,
author = {R. Kümmerle and P. Pfaff and R. Triebel and W. Burgard},
title = {Active Monte Carlo Localization in Outdoor Terrains using Multi-Level Surface Maps},
booktitle = {Fachgespräche Autonome Mobile Systeme (AMS)},
year = {2007},
}
@inproceedings{triebel07recovering,
author = {R. Triebel and W. Burgard},
title = {Recovering the Shape of Objects in 3D Point Clouds with Partial Occlusions},
booktitle = {Proc. of the 6th International Conference on Field and Service Robotics (FSR)},
year = {2007},
}
@inproceedings{kuemmerle07monte,
author = {R. TP. P R. Kümmerle and W. Burgard},
title = {Monte Carlo Localization in Outdoor Terrains using Multi-Level Surface Maps},
booktitle = {Proc. of the 6th International Conference on Field and Service Robotics (FSR)},
year = {2007},
}
@inproceedings{pfaff07towards,
author = {P. Pfaff and R. Triebel and C. Stachniss and P. Lamon and W. Burgard and R. Siegwart},
title = {Towards Mapping of Cities},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2007},
}
@inproceedings{triebel07instance,
author = {R. Triebel and R. Schmidt and Ó. M Mozos and W. Burgard},
title = {Instance-based AMN Classification for Improved Object Recognition in {2D and 3D} Laser Range Data},
booktitle = {Proc. of the International Joint Conference on Artificial Intelligence (IJCAI)},
year = {2007},
}
@inproceedings{triebel06multi,
author = {R. Triebel and P. Pfaff and W. Burgard},
title = {Multi-Level Surface Maps for Outdoor Terrain Mapping and Loop Closing},
booktitle = {Proc. of the International Conference on Intelligent Robots and Systems(IROS)},
year = {2006},
}
@inproceedings{triebel06robust,
author = {R. Triebel and K. Kersting and W. Burgard},
title = {Robust 3D Scan Point Classification using Associative Markov Networks},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2006},
}
@inproceedings{andreasson06vision,
author = {H. Andreasson and R. Triebel and A. Lilienthal},
title = {Vision-based Interpolation of 3D Laser Scans},
booktitle = {Proc. International Conference on Autonomous Robots and Agents (ICARA)},
year = {2006},
}
@inproceedings{andreasson05improving,
author = {H. Andreasson and R. Triebel and W. Burgard},
title = {Improving Plane Extraction from 3D Data by Fusing Laser Data and Vision},
booktitle = {Proc. of the International Conference on Intelligent Robots and Systems(IROS)},
year = {2005},
}
@inproceedings{triebel05improving,
author = {R. Triebel and W. Burgard},
title = {Improving Simultaneous Localization and Mapping in 3D Using Global Constraints},
booktitle = {Proc. of the Twentieth National Conference on Artificial Intelligence (AAAI)},
year = {2005},
}
@inproceedings{triebel05using,
author = {R. Triebel and W. Burgard and F. Dellaert},
title = {Using Hierarchical EM to Extract Planes from 3D Range Scans},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2005},
}
@inproceedings{weikersdorfer_et_al_icip13,
author = {A. SD. C D. Weikersdorfer},
title = {Depth-adative Supervoxels for RGB-D Video Segmentation},
booktitle = {Proceedings of the IEEE International Conference on Image Processing},
year = {2013},
}
@inproceedings{weikersdorfer_et_al_icra14,
author = {D. B. AD. CJ. C D. Weikersdorfer},
title = {Event-based 3D SLAM with a depth-augmented dynamic vision sensor},
booktitle = {International Conference on Robotics and Automation (ICRA)},
keywords = {vslam},
year = {2014},
}
@inproceedings{triebel04first,
author = {R. Triebel and B. Frank and J. Meyer and W. Burgard},
title = {First steps towards a robotic system for flexible volumetric mapping of indoor environments},
booktitle = {Proc. of the 5th IFAC/EURON Symposium on Intelligent Autonomous Vehicles (IAV)},
year = {2004},
}
@inproceedings{thrun03system,
author = {S. Thrun and D. Hähnel and D. Ferguson and M. Montemerlo and R. Triebel and W. Burgard and C. Baker and Z. Omohundro and S. Thayer and W. Whittaker},
title = {A system for volumetric robotic mapping of underground mines},
booktitle = {Proc. of the IEEE International Conference on Robotics and Automation (ICRA)},
year = {2003},
}
@inproceedings{haehnel03map,
author = {D. Hähnel and R. Triebel and W. Burgard and S. Thrun},
title = {Map Building with Mobile Robots in Dynamic Environments},
booktitle = {Proc. of the IEEE International Conference on Robotics and Automation (ICRA)},
year = {2003},
}
@inproceedings{triebel13confidence,
author = {R. Triebel and H. Grimmett and I. Posner},
title = {Confidence Boosting:
Improving the Introspectiveness of a Boosted Classifier for Efficient Learning},
booktitle = {Autonomous Learning Workshop at ICRA},
year = {2013},
}
@inproceedings{triebel13introspective,
author = {R. Triebel and H. Grimmett and R. Paul and I. Posner},
title = {Introspective Active Learning for Scalable Semantic Mapping},
booktitle = {Workshop on Active Learning in Robotics: Exploration, Curiosity, and Interaction at Robotics: Science and Systems},
year = {2013},
}
@inproceedings{bylow_etal_rss2013,
title = {Real-Time Camera Tracking and 3D Reconstruction Using Signed Distance Functions},
author = {E. Bylow and J. Sturm and C. Kerl and F. Kahl and D. Cremers},
booktitle = {Robotics: Science and Systems Conference (RSS)},
year = {2013},
month = {June},
keywords = {rgb-d,rgb-d benchmark,sturmselection,vslam},
}
@inproceedings{bylow_etal_rss2013rgbd_workshop,
title = {Direct Camera Pose Tracking and Mapping With Signed Distance Functions},
author = {E. Bylow and J. Sturm and C. Kerl and F. Kahl and D. Cremers},
booktitle = {Demo Track of the RGB-D Workshop on Advanced Reasoning with Depth Cameras at the Robotics: Science and Systems Conference (RSS)},
year = {2013},
month = {June},
keywords = {rgb-d,rgb-d benchmark,vslam},
}
@book{sturm13book,
author = {J. Sturm},
title = {Approaches to Probabilistic Model Learning for Mobile Manipulation Robots},
publisher = {Springer},
year = {2013},
series = {Springer Tracts in Advanced Robotics (STAR)},
topic = {articulated-objects,imitation-learning,bodyschema,tactile-sensing},
url = {http://www.springer.com/engineering/robotics/book/978-3-642-37159-2?otherVersion=978-3-642-37160-8},
}
@inproceedings{sturm13ijcai,
author = {J. Sturm and W. Burgard},
title = {Learning Probabilistic Models for Mobile Manipulation Robots},
booktitle = {Proc. of the International Joint Conference on Artificial Intelligence (IJCAI), Track on Best papers in Sister Conferences},
year = {2013},
}
@misc{Strekalovskiy-ki11,
author = {E. Strekalovskiy},
title = {Conference Report - CVPR 2011},
howpublished = {KI - K\"{u}nstliche Intelligenz},
year = {2011},
volume = {25},
number = {4},
pages = {359--360},
}
@inproceedings{souiai-et-al-emmcvpr13,
author = {M. Souiai and E. Strekalovskiy and C. Nieuwenhuis and D. Cremers},
title = {A Co-occurrence Prior for Continuous Multi-Label Optimization},
booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)},
year = {2013},
topic = {Convex Relaxation Methods, Segmentation},
keywords = {convex-relaxation},
}
@inproceedings{stangl-et-al-13,
author = {F. Stangl and M. Souiai and D. Cremers},
title = {Performance Evaluation of Narrow Band Methods for Variational Stereo},
booktitle = {35th German Conference on Pattern Recognition (GCPR)},
year = {2013},
titleurl = {stangl_et_al_gcpr13.pdf},
keywords = {convex-relaxation},
}
@inproceedings{moellenhoff-et-al-13,
author = {T. Möllenhoff and C. Nieuwenhuis and E. Toeppe and D. Cremers},
title = {Efficient Convex Optimization for Minimal Partition Problems with Volume Constraints},
booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)},
year = {2013},
titleurl = {moellenhoff_et_al_13.pdf},
keywords = {convex-relaxation},
}
@inproceedings{kerl13iros,
author = {C. Kerl and J. Sturm and D. Cremers},
title = {Dense Visual SLAM for RGB-D Cameras},
booktitle = {Proc. of the Int. Conf. on Intelligent Robot Systems (IROS)},
year = {2013},
keywords = {dense visual odometry,dense visual slam,rgb-d,rgb-d benchmark,vslam},
}
@inproceedings{naseer2013iros,
author = {T. Naseer and J. Sturm and D. Cremers},
title = {{FollowMe}: Person Following and Gesture Recognition
with a Quadrocopter},
booktitle = {Proc. of the Int. Conf. on Intelligent Robot Systems (IROS)},
year = {2013},
keywords = {rgb-d,quadrocopter},
}
@inproceedings{klodt_etal_2013gcpr,
author = {M. Klodt and J. Sturm and D. Cremers},
title = {Scale-Aware Object Tracking with Convex Shape Constraints on RGB-D Images},
booktitle = {German Conference on Pattern Recognition (GCPR)},
year = {2013},
address = {Saarbr\"ucken, Germany},
month = {September},
keywords = {convex-relaxation, rgb-d},
titleurl = {klodt_etal_2013gcpr.pdf},
}
@article{endres2013tro,
author = {F. Endres and J. Hess and J. Sturm and D. Cremers and W. Burgard},
title = {3D Mapping with an {RGB-D} Camera},
journal = {IEEE Transactions on Robotics (T-RO)},
volume = {30},
number = {1},
pages = {177-187},
year = {2013},
keywords = {vslam},
}
@inproceedings{sturm_etal_2013uavg,
author = {J. Sturm and E. Bylow and F. Kahl and D. Cremers},
title = {Dense Tracking and Mapping with a Quadrocopter},
year = {2013},
address = {Rostock, Germany},
month = {September},
booktitle = {Unmanned Aerial Vehicle in Geomatics (UAV-g)},
keywords = {rgb-d,rgb-d benchmark,quadrocopter,vslam},
}
@inproceedings{bender_etal_2013uavg,
author = {D. Bender and M. Schikora and J. Sturm and D. Cremers},
title = {Graph-based bundle adjustment for INS-camera calibration},
year = {2013},
address = {Rostock, Germany},
month = {September},
award = {Best research paper award},
booktitle = {Unmanned Aerial Vehicle in Geomatics (UAV-g)},
keywords = {quadrocopter,sturmselection},
}
@inproceedings{sturm_etal_2013gcpr,
author = {J. Sturm and E. Bylow and F. Kahl and D. Cremers},
title = {{CopyMe3D}: Scanning and Printing Persons in {3D}},
booktitle = {German Conference on Pattern Recognition (GCPR)},
year = {2013},
address = {Saarbr\"ucken, Germany},
month = {September},
keywords = {rgb-d,rgb-d benchmark,sturmselection},
}
@article{liu2013introduction,
title = {Introduction to the special issue on visual understanding and applications with RGB-D cameras},
author = {Z. Liu and M. Beetz and D. Cremers and J. Gall and W. Li and D. Pangercic and J. Sturm and Y.-W. Tai},
journal = {Journal of Visual Communication and Image Representation (JVCI)},
year = {2013},
}
@inproceedings{rodola-bmvc13,
author = {E. Rodola and T. Harada and Y. Kuniyoshi and D. Cremers},
title = {Efficient Shape Matching using Vector Extrapolation},
booktitle = {British Machine Vision Conference (BMVC)},
year = {2013},
titleurl = {rodola-bmvc13.pdf},
topic = {Shape Analysis, Discrete Optimization},
}
@inproceedings{engel2013iccv,
author = {J. Engel and J. Sturm and D. Cremers},
title = {Semi-Dense Visual Odometry for a Monocular Camera},
year = {2013},
address = {Sydney, Australia},
month = {December},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {rgb-d, visual odometry, monocular, slam, semidense, vslam},
}
@inproceedings{rodola-iccv13,
author = {E. Rodola and A. Torsello and T. Harada and Y. Kuniyoshi and D. Cremers},
title = {Elastic Net Constraints for Shape Matching},
year = {2013},
address = {Sydney, Australia},
month = {December},
titleurl = {enet_project.zip},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
topic = {Shape Matching, Shape Analysis},
}
@inproceedings{lellmann-et-al-iccv2013,
author = {J. Lellmann and E. Strekalovskiy and S. Koetter and D. Cremers},
title = {Total Variation Regularization for Functions with Values in a Manifold},
year = {2013},
address = {Sydney, Australia},
month = {December},
titleurl = {lellmann-et-al-iccv2013.pdf},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
topic = {Convex Relaxation Methods},
keywords = {convex-relaxation, Segmentation},
}
@inproceedings{Nieuwenhuis-et-al-iccv13,
author = {C. Nieuwenhuis and E. Strekalovskiy and D. Cremers},
title = {Proportion Priors for Image Sequence Segmentation},
year = {2013},
address = {Sydney, Australia},
month = {December},
titleurl = {nieuwenhuis-et-al-iccv2013.pdf},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
topic = {Convex Relaxation Methods},
keywords = {convex-relaxation, Segmentation},
}
@inproceedings{stuehmer-et-al-iccv2013,
author = {J. Stühmer and P. Schröder and D. Cremers},
title = {Tree Shape Priors with Connectivity Constraints using Convex Relaxation on General Graphs},
year = {2013},
address = {Sydney, Australia},
month = {December},
titleurl = {stuehmer-et-al-iccv2013.pdf},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
topic = {Segmentation, Shape Priors},
keywords = {Convex-Relaxation, Segmentation, shape-priors, medical imaging},
award = {Oral Presentation},
}
@incollection{rodola-book13,
author = {M. Pelillo and S. R Bulo and A. Torsello and A. Albarelli and E. Rodola},
booktitle = {Similarity-Based Pattern Analysis and Recognition},
title = {A Game-Theoretic Approach to Pairwise Clustering and Matching},
publisher = {Springer},
year = {2013},
}
@inproceedings{KuschkBC17,
author = {G. Kuschk and A. Bozic and D. Cremers},
title = {Real-time variational stereo reconstruction with applications to large-scale
dense {SLAM}},
booktitle = {{IEEE} Intelligent Vehicles Symposium, {IV} 2017, Los Angeles, CA,
USA, June 11-14, 2017},
pages = {1348--1355},
publisher = {{IEEE}},
year = {2017},
keywords = {vslam},
}
@inproceedings{kuschk-et-al-iccv2013,
author = {G. Kuschk and D. Cremers},
title = {Fast and Accurate Large-scale Stereo Reconstruction using Variational Methods},
year = {2013},
address = {Sydney, Australia},
month = {December},
titleurl = {kuschk-et-al-iccv2013.pdf},
booktitle = {ICCV Workshop on Big Data in 3D Computer Vision},
keywords = {large scale, 3d-reconstruction, total variation},
}
@mastersthesis{maier2013thesis,
author = {R. Maier},
title = {Out-of-Core Bundle Adjustment for 3D Workpiece Reconstruction},
school = {Technische Universität München},
address = {Germany},
year = {2013},
month = {September},
keywords = {rgb-d,rgb-d benchmark,student-project,vslam},
}
@mastersthesis{Oswald-MSC-2008,
author = {M. R. Oswald},
title = {Reliability Estimation Methods and their Efficient Implementation},
school = {Universidad Tecnica Federico Santa Maria},
address = {Valparaiso, Chile},
year = {2008},
month = {Jun},
}
@article{DuranMSC16,
author = {J. Duran and M. Möller and C. Sbert and D. Cremers},
title = {Collaborative Total Variation: {A} General Framework for Vectorial
{TV} Models},
titleurl = {Duran_et_al_siims2016.pdf},
journal = {{SIAM} J. Imaging Sci.},
volume = {9},
number = {1},
pages = {116--151},
year = {2016},
}
@article{BurgerGMEC16,
author = {M. Burger and G. Gilboa and M. Möller and L. Eckardt and D. Cremers},
title = {Spectral Decompositions Using One-Homogeneous Functionals},
journal = {{SIAM} J. Imaging Sci.},
volume = {9},
number = {3},
pages = {1374--1408},
year = {2016},
}
@mastersthesis{Oswald-DA-2007,
author = {M. R. Oswald},
title = {Concurrent Stereo Reconstruction},
school = {Technische Universit\"at Dresden},
address = {Germany},
year = {2007},
month = {Jun},
}
@misc{Oswald-KI-2012,
author = {M. R. Oswald},
title = {Conference Report - CVPR 2012},
howpublished = {KI - K\"{u}nstliche Intelligenz},
year = {2012},
volume = {26},
number = {4},
pages = {423--426},
}
@inproceedings{Oswald-Cremers-ICCV-4DMOD-2013,
author = {M. R. Oswald and D. Cremers},
title = {A Convex Relaxation Approach to Space Time Multi-view 3D Reconstruction},
booktitle = {{ICCV} {W}orkshop on {D}ynamic {S}hape {C}apture and {A}nalysis ({4DMOD})},
year = {2013},
numpages = {8},
titleurl = {oswald-cremers-ICCV-4DMOD2013.pdf},
topic = {3D Reconstruction},
keywords = {space-time, 3d-reconstruction, convex-relaxation},
}
@inproceedings{Steinbruecker-etal-iccv13,
author = {F. Steinbruecker and C. Kerl and J. Sturm and D. Cremers},
title = {Large-Scale Multi-Resolution Surface Reconstruction from RGB-D Sequences},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2013},
address = {Sydney, Australia},
titleurl = {steinbruecker_etal_iccv2013.pdf},
topic = {3D Reconstruction},
keywords = {RGB-D,Fusion,3d-reconstruction,vslam},
}
@article{strekalovskiy-et-al-siims14,
author = {E. Strekalovskiy and A. Chambolle and D. Cremers},
title = {Convex Relaxation of Vectorial Problems with Coupled Regularization},
journal = {SIAM Journal on Imaging Sciences},
year = {2014},
volume = {7},
number = {1},
pages = {294--336},
topic = {Convex Relaxation Methods, Optic Flow},
keywords = {convex-relaxation, optical-flow},
}
@inproceedings{naseer13iros_ws,
author = {T. Naseer and J. Sturm and D. Cremers},
title = {Interactive Person Following and Gesture Recognition with a Flying Robot},
booktitle = {Proc. of the Assistance and Service Robotics Workshop (ASROB) at the IEEE.~Int.~Conf.~on Intelligent Robots and Systems (IROS)},
year = {2013},
month = {Nov.},
}
@inproceedings{triebel13driven,
author = {R. Triebel and H. Grimmett and R. Paul and I. Posner},
title = {Driven Learning for Driving: How Introspection Improves Semantic Mapping},
booktitle = {The International Symposium on Robotics Research (ISRR)},
year = {2013},
}
@inproceedings{Steinbruecker-etal-icra14,
author = {F. Steinbruecker and J. Sturm and D. Cremers},
title = {Volumetric 3D Mapping in Real-Time on a CPU},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2014},
address = {Hongkong, China},
titleurl = {steinbruecker_etal_icra2014.pdf},
topic = {3D Reconstruction},
keywords = {RGB-D,Fusion,3d-reconstruction,vslam},
}
@article{engel14ras,
author = {J. Engel and J. Sturm and D. Cremers},
title = {Scale-Aware Navigation of a Low-Cost Quadrocopter with a Monocular Camera},
journal = {Robotics and Autonomous Systems (RAS)},
year = {2014},
volume = {62},
number = {11},
pages = {1646-–1656},
topic = {quadrocopter, ardrone},
keywords = {quadrocopter, ardrone, vslam},
}
@inproceedings{rodola-cvpr14,
author = {E. Rodola and S. R Bulo and T. Windheuser and M. Vestner and D. Cremers},
title = {Dense Non-Rigid Shape Correspondence Using Random Forests},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2014},
titleurl = {randomforests.zip},
topic = {Shape Analysis, Shape Matching, Machine Learning},
}
@inproceedings{kee-cvpr14,
author = {Y. Kee and M. Souiai and D. Cremers and J. Kim},
title = {Sequential Convex Relaxation for Mutual-Information-Based Unsupervised Figure-Ground Segmentation},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2014},
titleurl = {kee-cvpr14.pdf},
topic = {Image Segmentation, Convex Relaxation, Information Theory},
}
@article{KeeLSCK17,
author = {Y. Kee and Y. Lee and M. Souiai and D. Cremers and J. Kim},
title = {Sequential Convex Programming for Computing Information-Theoretic
Minimal Partitions: Nonconvex Nonsmooth Optimization},
journal = {{SIAM} J. Imaging Sci.},
volume = {10},
number = {4},
pages = {1845--1877},
year = {2017},
}
@inproceedings{alvarez14iser,
author = {H. Alvarez and L.M. Paz and J. Sturm and D. Cremers},
title = {Collision Avoidance for Quadrotors with a Monocular
Camera},
booktitle = {Proc. of The 12th International Symposium on Experimental Robotics (ISER)},
year = {2014},
keywords = {vslam},
}
@article{rodola-cgf14,
author = {E. Rodola and S. R Bulo and D. Cremers},
title = {Robust Region Detection via Consensus Segmentation of Deformable Shapes},
journal = {Computer Graphics Forum},
volume = {33},
number = {5},
year = {2014},
pages = {97--106},
publisher = {Wiley},
topic = {Shape Analysis, Machine Learning, Segmentation},
titleurl = {consensus_demo.zip},
}
@article{Cremers17,
author = {D Cremers},
title = {Computer Vision f{\"{u}}r 3-D-Rekonstruktion - Vom Nischenthema zum
Mainstream},
journal = {Informatik Spektrum},
volume = {40},
number = {2},
pages = {205--209},
year = {2017},
}
@inproceedings{engel14eccv,
author = {J. Engel and T. Schöps and D. Cremers},
title = {{LSD-SLAM}: Large-Scale Direct Monocular {SLAM}},
year = {2014},
month = {September},
booktitle = {European Conference on Computer Vision (ECCV)},
keywords = {rgb-d, monocular, slam, semidense, lsdslam, vslam},
award = {Oral Presentation},
}
@inproceedings{schoeps14ismar,
author = {T. Schöps and J. Engel and D. Cremers},
title = {Semi-Dense Visual Odometry for {AR} on a Smartphone},
year = {2014},
month = {September},
booktitle = {International Symposium on Mixed and Augmented Reality},
keywords = {rgb-d, monocular, slam, semidense, lsdslam, ar, vo, vslam},
award = {Best Short Paper Award},
}
@inproceedings{cremers-dcurv14,
author = {D. Cremers and E. Rodola and T. Windheuser},
title = {Relaxations for Minimizing Metric Distortion and Elastic Energies for 3D Shape Matching},
booktitle = {Actes des recontres du CIRM: Courbure discrete: théorie et applications},
year = {2013},
volume = {3},
number = {1},
pages = {107--117},
topic = {Shape Analysis, Shape Matching},
}
@inproceedings{windheus-bmvc14,
author = {T. Windheuser and M. Vestner and E. Rodola and R. Triebel and D. Cremers},
title = {Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis},
booktitle = {British Machine Vision Conference (BMVC)},
year = {2014},
titleurl = {windheus-bmvc14.pdf},
topic = {Shape Analysis, Shape Matching, Machine Learning},
}
@mastersthesis{knese2014msc,
author = {K. Knese},
title = {Realizing Online (Self-)Collision Avoidance
Based on Inequality Constraints with
Hierarchical Inverse Kinematics},
school = {Technical University of Munich},
address = {Germany},
year = {2014},
month = {July},
}
@inproceedings{Strobel-et-al-gcpr2014,
author = {M. Strobel and J. Diebold and D. Cremers},
title = {Flow and Color Inpainting for Video Completion},
booktitle = {German Conference on Pattern Recognition (GCPR)},
year = {2014},
address = {M\"unster, Germany},
month = {September},
keywords = {video completion, video inpainting, disocclusion, temporal consistency, segmentation, optical flow,diebold},
doi = {10.1007/978-3-319-11752-2_23},
award = {Oral Presentation},
}
@inproceedings{maier2014gcpr,
author = {R. Maier and J. Sturm and D. Cremers},
title = {Submap-based Bundle Adjustment for 3D Reconstruction from RGB-D Data},
booktitle = {German Conference on Pattern Recognition (GCPR)},
year = {2014},
address = {M\"unster, Germany},
month = {September},
keywords = {rgb-d,rgb-d benchmark,vslam},
award = {Oral Presentation},
}
@inproceedings{Gurdan-et-al-GCPR-2014,
author = {T. Gurdan and M. R. Oswald and D. Gurdan and D. Cremers},
title = {Spatial and Temporal Interpolation of Multi-View Image Sequences},
month = {sep},
year = {2014},
numpages = {12},
booktitle = {German Conference on Pattern Recognition (GCPR)},
volume = {36},
address = {Münster, Germany},
keywords = {space-time, 3d-reconstruction},
}
@inproceedings{Oswald-Cremers-BMVC-2014,
author = {M. R. Oswald and D. Cremers},
title = {Surface Normal Integration for Convex Space-time Multi-view Reconstruction},
booktitle = {British Machine Vision Conference (BMVC)},
year = {2014},
numpages = {11},
keywords = {space-time, 3d-reconstruction, surface normals, convex-relaxation},
}
@inproceedings{Nieuwenhuis-et-al-eccv14,
author = {C. Nieuwenhuis and S. Hawe and M. Kleinsteuber and D. Cremers},
title = {Co-Sparse Textural Similarity for Interactive Segmentation},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2014},
titleurl = {nieuwenhuis-et-al-eccv14.pdf},
keywords = {convex-relaxation, Segmentation},
}
@inproceedings{Oswald-et-al-ECCV-2014,
author = {M. R. Oswald and J. Stühmer and D. Cremers},
title = {Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2014},
pages = {32-46},
numpages = {14},
keywords = {connectivity constraints, space-time, 3d-reconstruction, convex-relaxation},
topic = {3D Reconstruction, Shape Priors},
}
@inproceedings{Strekalovskiy-Cremers-eccv14,
author = {E. Strekalovskiy and D. Cremers},
title = {Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2014},
pages = {127-141},
keywords = {convex-relaxation},
}
@inproceedings{rodola-rsj14,
author = {A. Kanezaki and E. Rodola and T. Harada},
title = {RGB-D画像からの物体検出における対応点集合類似度の学習 [RGB-D gazou kara no buttai kenshutsu ni okeru taiou tenshuugou ruijido no gakushuu]},
booktitle = {第32回日本ロボット学会学術講演会 - The Robotics Society of Japan (RSJ)},
year = {2014},
award = {2015 研究奨励賞 Encouragement Award},
address = {Fukuoka, Japan},
month = {sep},
}
@inproceedings{rodola-rs15,
author = {A. Kanezaki and E. Rodola and T. Harada},
title = {グラフマッチング学習を用いたRGB-D画像からの物体検出 [Graph matching gakushuu wo mochiita RGB-D gazou kara no buttai kenshutsu] - Learning graph matching for object detection from RGB-D images},
booktitle = {第20回ロボティクスシンポジア - Robotics Symposia (RS)},
year = {2015},
address = {Karuizawa, Japan},
month = {mar},
}
@inproceedings{rodola-prmu14,
author = {A. Kanezaki and E. Rodola and D. Cremers and T. Harada},
title = {対応点集合類似度学習を用いた剛体・非剛体物体検出 [Taiou tenshuugou ruijido gakushuu wo mochiita goutai-higoutai buttai kenshutsu]},
booktitle = {信学技報 - Pattern Recognition and Media Understanding (PRMU)},
year = {2014},
volume = {114},
number = {230},
pages = {13--18},
month = {oct},
}
@inproceedings{andreux-nordia14,
author = {M. Andreux and E. Rodola and M. Aubry and D. Cremers},
title = {Anisotropic Laplace-Beltrami Operators for Shape Analysis},
booktitle = {Sixth Workshop on
Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA)},
year = {2014},
titleurl = {andreux-nordia14.pdf},
}
@mastersthesis{hazirbas2014msc,
author = {C Hazirbas},
title = {Feature Selection and Learning for Semantic Segmentation},
school = {Technical University Munich},
address = {Germany},
year = {2014},
month = {June},
keywords = {feature selection, semantic segmentation, variational image segmentation, student-project},
}
@mastersthesis{schoeps14msc,
author = {T Schöps},
advisors = {J. Engel and D. Cremers},
paper = {schoeps14ismar, engel14eccv},
title = {Semi-dense visual {SLAM} on mobile devices},
school = {Technical University Munich},
address = {Germany},
year = {2014},
month = {May},
keywords = {student-project,vslam},
}
@mastersthesis{shelley14msc,
author = {M. Shelley},
advisors = {J. Engel and D. Cremers},
title = {Monocular Visual Inertial Odometry on a Mobile Device},
school = {Technical University Munich},
address = {Germany},
year = {2014},
month = {Aug.},
keywords = {student-project,vo,vio,vslam},
}
@inproceedings{dunkley14iros,
author = {O. Dunkley and J. Engel and J. Sturm and D. Cremers},
title = {Visual-Inertial Navigation for a Camera-Equipped 25g Nano-Quadrotor},
booktitle = {IROS2014 Aerial Open Source Robotics Workshop},
year = {2014},
keywords = {nanocopter,vo,vio,vslam},
}
@inproceedings{triebel14active,
author = {R. Triebel and J. Stühmer and M. Souiai and D. Cremers},
title = {Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes},
booktitle = {German Conference on Pattern Recognition},
year = {2014},
topic = {Segmentation},
}
@inproceedings{debnath14environment,
author = {S. Debnath and S. S. Baishya and R. Triebel and V. Dutt and D. Cremers},
title = {Environment-adaptive Learning: How Clustering Helps to Obtain Good Training Data},
booktitle = {KI 2014: Advances in Artificial Intelligence},
pages = {68--79},
year = {2014},
editor = {Carsten Lutz and Michael Thielscher},
publisher = {Springer},
}
@mastersthesis{dunkley14msc,
author = {OMW Dunkley},
advisors = {J. Engel and J. Sturm and D. Cremers},
title = {Visual Inertial Control of a Nano-Quadrotor},
school = {Technical University Munich},
address = {Germany},
year = {2014},
month = {Sept.},
keywords = {student-project, nanocopter,vo,vio,vslam},
}
@inproceedings{rodola-3dv14,
author = {A. Kanezaki and E. Rodola and D. Cremers and T. Harada},
title = {Learning Similarities for Rigid and Non-Rigid Object Detection},
booktitle = {International Conference on 3D Vision ({3DV})},
year = {2014},
titleurl = {rodola-3dv14.pdf},
topic = {Correspondence, Shape Analysis, Shape Matching, Object Recognition, Machine Learning},
}
@inproceedings{moellenhoff-et-al-15,
author = {T. Möllenhoff and E. Strekalovskiy and M. Möller and D. Cremers},
title = {Low Rank Priors for Color Image Regularization},
booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)},
year = {2015},
titleurl = {moellenhoff_et_al_15.pdf},
}
@inproceedings{bender_sdf2014,
author = {D. Bender and M. Schikora and J. Sturm and D. Cremers},
title = {INS-Camera Calibration without Ground Control Points},
booktitle = {9th IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)},
year = {2014},
titleurl = {bender_sdf2014.pdf},
}
@inproceedings{kerl143dv,
author = {C. Kerl and M. Souiai and J. Sturm and D. Cremers},
title = {Towards Illumination-invariant 3D Reconstruction using ToF RGB-D Cameras},
booktitle = {International Conference on 3D Vision ({3DV})},
year = {2014},
keywords = {3d reconstruction,rgb-d,tof},
}
@inproceedings{jaimez15icra,
author = {M. Jaimez and M. Souiai and J. Gonzalez-Jimenez and D. Cremers},
title = {A Primal-Dual Framework for Real-Time Dense RGB-D Scene Flow},
booktitle = {Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA)},
year = {2015},
keywords = {scene-flow,rgb-d,primal-dual,real time},
titleurl = {jaimez_et_al_15.pdf},
}
@inproceedings{jaimez2016icra,
author = {M. Jaimez and J. G. Monroy and J. Gonzalez-Jimenez},
title = {Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach},
booktitle = {Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA)},
pages = {4479-4485},
year = {2016},
}
@inproceedings{jaimez2017icra,
author = {M. Jaimez and C. Kerl and J. Gonzalez-Jimenez and D. Cremers},
title = {Fast Odometry and Scene Flow from RGB-D Cameras based on Geometric Clustering},
booktitle = {Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA)},
year = {2017},
titleurl = {jaimez_et_al_vosf_2017.pdf},
keywords = {rgb-d,scene-flow},
}
@inproceedings{jaimez2017cvpr,
author = {M. Jaimez and T. J. Cashman and A. Fitzgibbon and J. Gonzalez-Jimenez and D. Cremers},
title = {An Efficient Background Term for 3D Reconstruction and Tracking with Smooth Subdivision Surface Models},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2017},
titleurl = {jaimez_et_al_cvpr_2017.pdf},
keywords = {rgb-d, 3d reconstruction, tracking},
}
@article{jaimez2015tro,
author = {M. Jaimez and J. Gonzalez-Jimenez},
title = {Fast Visual Odometry for 3-D Range Sensors},
journal = {IEEE Transactions on Robotics},
year = {2015},
volume = {31},
number = {4},
pages = {809--822},
keywords = {rgb-d, 3d reconstruction, tracking, vo, vslam},
}
@article{jaimez2015ijars,
author = {J. L. BC M. Jaimez and J. Gonzalez-Jimenez},
title = {Efficient Reactive Navigation with Exact Collision Determination for 3D Robot Shapes},
journal = {International Journal of Advanced Robotic Systems},
year = {2015},
volume = {12},
number = {63},
}
@article{stueckler-ijcv15,
author = {J. Stueckler and S. Behnke},
title = {Efficient Dense Rigid-Body Motion Segmentation and Estimation in RGB-D Video},
journal = {International Journal of Computer Vision},
month = {jan},
year = {2015},
doi = {10.1007/s11263-014-0796-3},
publisher = {Springer US},
url = {http://ais.uni-bonn.de/papers/IJCV_2015_Stueckler_Motion_Segmentation.pdf},
}
@article{schadler-ki14,
author = {M. Schadler and J. Stueckler and S. Behnke},
title = {Rough Terrain Mapping and Navigation using a Continuously Rotating 2D Laser Scanner},
journal = {Künstliche Intelligenz},
titleurl = {stueckler-ki14.pdf},
volume = {28},
number = {2},
pages = {93--99},
month = {jun},
year = {2014},
doi = {10.1007/s13218-014-0301-8},
publisher = {Springer},
url = {http://ais.uni-bonn.de/papers/KI2014_Schadler.pdf},
}
@article{stueckler-jrtip14,
author = {J. Stueckler and B. Waldvogel and H. Schulz and S. Behnke},
title = {Dense Real-Time Mapping of Object-Class Semantics from RGB-D Video},
journal = {Journal of Real-Time Image Processing},
titleurl = {stueckler-jrtip14.pdf},
year = {2014},
doi = {10.1007/s11554-013-0379-5},
publisher = {Springer},
url = {http://ais.uni-bonn.de/papers/JRTIP_2014_Stueckler_RT_SemanticSLAM.pdf},
}
@article{stueckler-jvcir14,
author = {J. Stueckler and S. Behnke},
title = {Multi-Resolution Surfel Maps for Efficient Dense 3D Modeling and Tracking},
journal = {Journal of Visual Communication and Image Representation},
titleurl = {stueckler-jvcir14.pdf},
volume = {25},
issue = {1},
pages = {137--147},
month = {jan},
year = {2014},
doi = {10.1016/j.jvcir.2013.02.008},
keywords = {vslam},
url = {http://ais.uni-bonn.de/papers/JVCI_13_RGB-D-SLAM.pdf},
}
@article{stueckler-ras12,
author = {J. Stueckler and R. Steffens and D. Holz and S. Behnke},
title = {Efficient 3D Object Perception and Grasp Planning for Mobile Manipulation in Domestic Environments},
journal = {Robotics and Autonomous Systems},
titleurl = {stueckler-ras12.pdf},
volume = {61},
issue = {10},
pages = {1106-1115},
month = {oct},
year = {2012},
doi = {10.1016/j.robot.2012.08.003},
url = {http://ais.uni-bonn.de/papers/RAS_2012_Object_Perception__Grasp_Planning.pdf},
}
@article{stueckler-ram12,
author = {J. Stueckler and R. Steffens and D. Holz and S. Behnke},
title = {RoboCup@Home: Demonstrating Everyday Manipulation Skills in RoboCup@Home},
journal = {IEEE Robotics and Automation Magazine},
titleurl = {stueckler-ram12.pdf},
month = {June},
volume = {19},
number = {2},
pages = {34-42},
year = {2012},
doi = {10.1109/MRA.2012.2191993},
url = {http://ais.uni-bonn.de/papers/RAM_2012_Home.pdf},
}
@phdthesis{stueckler14-diss,
author = {J. Stueckler},
title = {Efficient Dense Registration, Segmentation, and Modeling Methods for RGB-D Environment Perception},
school = {Faculty of Mathematics and Natural Sciences, University of Bonn, Germany},
year = {2014},
url = {http://hss.ulb.uni-bonn.de/2014/3852/3852.htm},
}
@article{stueckler-ijhr08,
author = {S. Behnke and J. Stueckler},
title = {Hierarchical Reactive Control for Humanoid Soccer Robots},
journal = {International Journal of Humanoid Robots},
titleurl = {stueckler-ijhr08.pdf},
volume = {5},
number = {3},
pages = {375--396},
year = {2008},
url = {http://ais.uni-bonn.de/papers/IJHR_Behnke_Stueckler_2008.pdf},
}
@inbook{stueckler-softrobotics15,
author = {J. Stueckler and S. Behnke},
editor = {A. Verl, A. Albu-Schäffer, O. Brock, A. Raatz},
title = {Perception of Deformable Objects and Compliant Manipulation for Service Robots},
chapter = {Soft Robotics: From Theory to Applications},
publisher = {Springer},
year = {2015},
url = {http://ais.uni-bonn.de/papers/Soft_Robotics_2015_Stueckler_Behnke.pdf},
}
@inbook{stueckler-lncs14,
author = {J. Stueckler and D. Droeschel and K. Gräve and D. Holz and M. Schreiber and A. Topaldou-Kyniazopoulou and M. Schwarz and S. Behnke},
title = {Increasing Flexibility of Mobile Manipulation and Intuitive Human-Robot Interaction in RoboCup@Home},
chapter = {RoboCup 2013, Robot Soccer World Cup XVII},
publisher = {Springer},
pages = {135-146},
year = {2014},
doi = {10.1007/978-3-662-44468-9_13},
url = {http://ais.uni-bonn.de/papers/RoboCup_2013_Stueckler_NimbRo_at_Home.pdf},
}
@inbook{holz-star14,
author = {D. Holz and M. Nieuwenhuisen and D. Droeschel and J. Stueckler and A. Berner and J. Li and R. Klein and S. Behnke},
title = {Active Recognition and Manipulation for Mobile Robot Bin Picking},
chapter = {Gearing Up and Accelerating Cross‐fertilization between Academic and Industrial Robotics Research in Europe: Technology Transfer Experiments from the ECHORD Project},
publisher = {Springer},
pages = {133-153},
year = {2014},
doi = {10.1007/978-3-319-03838-4_7},
url = {http://ais.uni-bonn.de/papers/STAR_ActReMa_Mobile_Bin_Picking.pdf},
}
@inbook{stueckler-lncs13,
author = {J. Stueckler and I. Badami and D. Droeschel and K. Gräve and D. Holz and M. McElhone and M. Nieuwenhuisen and M. Schreiber and M. Schwarz and S. Behnke},
title = {NimbRo@Home: Winning Team of the RoboCup@Home Competition 2012},
chapter = {RoboCup 2012, Robot Soccer World Cup XVI},
publisher = {Springer},
pages = {94-105},
year = {2013},
doi = {10.1007/978-3-642-39250-4_10},
url = {http://ais.uni-bonn.de/papers/RC12_HomeWinner.pdf},
}
@inbook{stueckler-lncs12,
author = {J. Stueckler and D. Droeschel and K. Gräve and D. Holz and J. Kläß and M. Schreiber and R. Steffens and S. Behnke},
title = {Towards Robust Mobility, Flexible Object Manipulation, and Intuitive Multimodal Interaction for Domestic Service Robots},
chapter = {RoboCup 2011, Robot Soccer World Cup XV},
publisher = {Springer},
pages = {51-62},
year = {2012},
doi = {10.1007/978-3-642-32060-6_5},
url = {http://ais.uni-bonn.de/nimbro/@Home/papers/RC11_Home_Winner.pdf},
}
@inproceedings{stueckler-humanoids14,
author = {J. Stueckler and S. Behnke},
title = {Adaptive Tool-Use Strategies for Anthropomorphic Service Robots},
booktitle = {Proc. of the 14th IEEE-RAS International Conference on Humanoid Robots (Humanoids)},
pages = {to appear},
month = {nov},
year = {2014},
url = {http://ais.uni-bonn.de/papers/Humanoids_2014_Stueckler.pdf},
}
@inproceedings{stueckler-ias14,
author = {D. Droeschel and J. Stueckler and S. Behnke},
title = {Local Multi-Resolution Surfel Grids for MAV Motion Estimation and 3D Mapping},
booktitle = {Proc. of the 13th International Conference on Intelligent Autonomous Systems (IAS)},
pages = {to appear},
month = {jul},
year = {2014},
keywords = {vslam},
url = {http://ais.uni-bonn.de/papers/IAS_2014_Droeschel_MAV-Mapping.pdf},
}
@inproceedings{stueckler-isrrobotik14,
author = {J. Stueckler and A. Gutt and S. Behnke},
title = {Combining the Strengths of Sparse Interest Point and Dense Image Registration for RGB-D Odometry},
booktitle = {Proc. of the Joint 45th International Symposium on Robotics (ISR) and 8th German Conference on Robotics (ROBOTIK)},
pages = {to appear},
month = {jun},
year = {2014},
keywords = {vo, vslam},
url = {http://ais.uni-bonn.de/papers/ISR_Robotik_2014_Stueckler.pdf},
}
@inproceedings{stueckler-icra14,
author = {J. Stueckler and S. Behnke},
booktitle = {Proc. of the IEEE International Conference on Robotics and Automation (ICRA)},
title = {Efficient deformable registration of multi-resolution surfel maps for object manipulation skill transfer},
year = {2014},
month = {may},
pages = {994-1001},
doi = {10.1109/ICRA.2014.6906975},
url = {http://ais.uni-bonn.de/papers/ICRA_2014_Stueckler.pdf},
}
@inproceedings{droeschel-icra14,
author = {D. Droeschel and J. Stueckler and S. Behnke},
booktitle = {Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA)},
title = {Local multi-resolution representation for 6D motion estimation and mapping with a continuously rotating 3D laser scanner},
year = {2014},
month = {may},
pages = {5221-5226},
doi = {10.1109/ICRA.2014.6907626},
keywords = {vslam},
url = {http://ais.uni-bonn.de/papers/ICRA_2014_Droeschel.pdf},
}
@inproceedings{schwarz-hri14,
author = {M. Schwarz and J. Stueckler and S. Behnke},
title = {Mobile Teleoperation Interfaces with Adjustable Autonomy for Personal Service Robots},
booktitle = {Proceedings of the 2014 ACM/IEEE International Conference on Human-robot Interaction},
series = {HRI '14},
year = {2014},
pages = {288--289},
numpages = {2},
doi = {10.1145/2559636.2563716},
publisher = {Advances in Computational Mathematics},
url = {http://ais.uni-bonn.de/papers/HRI_2014_Tablet.pdf},
}
@inproceedings{schadler-ssrr13,
author = {M. Schadler and J. Stueckler and S. Behnke},
booktitle = {Proc. of the IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)},
title = {Multi-resolution surfel mapping and real-time pose tracking using a continuously rotating 2D laser scanner},
year = {2013},
month = {oct},
pages = {1-6},
doi = {10.1109/SSRR.2013.6719373},
keywords = {vslam},
url = {http://ais.uni-bonn.de/papers/SSRR_2013_Schadler_3D_Laser_Mapping_Tracking.pdf},
}
@inproceedings{stueckler-bmvc13,
author = {J. Stueckler and S. Behnke},
booktitle = {Proc. of the British Machine Vision Conference (BMVC)},
title = {Efficient Dense 3D Rigid-Body Motion Segmentation in RGB-D Video},
year = {2013},
url = {http://ais.uni-bonn.de/papers/BMVC2013_Stueckler.pdf},
}
@inproceedings{mcelhone-ecmr13,
author = {M. McElhone and J. Stueckler and S. Behnke},
title = {Joint detection and pose tracking of multi-resolution surfel models in RGB-D},
booktitle = {Proc. of the European Conference on Mobile Robots (ECMR)},
pages = {131-137},
publisher = {IEEE},
year = {2013},
keywords = {vslam},
url = {http://ais.uni-bonn.de/papers/ECMR13_McElhone.pdf},
}
@inproceedings{fiolka-ecmr13,
author = {T. Fiolka and J. Stueckler and D. A. Klein and D. Schulz and S. Behnke},
title = {Distinctive 3D surface entropy features for place recognition.},
booktitle = {Proc. of the European Conference on Mobile Robots (ECMR)},
pages = {204-209},
publisher = {IEEE},
year = {2013},
url = {http://ais.uni-bonn.de/papers/ECMR_2013_Fiolka_SURE_Place_Recognition.pdf},
}
@inproceedings{berner-icip13,
author = {A. Berner and J Li and D. Holz and J. Stueckler and S. Behnke and R. Klein},
title = {Combining contour and shape primitives for object detection and pose estimation of prefabricated parts},
booktitle = {Proc. of the 20th IEEE International Conference on Image Processing (ICIP)},
year = {2013},
month = {sep},
pages = {3326-3330},
doi = {10.1109/ICIP.2013.6738685},
url = {http://ais.uni-bonn.de/papers/ICIP_2013_Berner.pdf},
}
@inproceedings{stueckler-ijcai13,
author = {J. Stueckler and S. Behnke},
title = {Hierarchical Object Discovery and Dense Modelling From Motion Cues in RGB-D Video},
booktitle = {Proc. of the 23rd International Joint Conference on Artificial Intelligence (IJCAI)},
publisher = {IJCAI/AAAI},
year = {2013},
keywords = {vslam},
url = {http://ais.uni-bonn.de/papers/IJCAI13_Stueckler.pdf},
}
@inproceedings{nieuwenhuisen-icra13,
author = {M. Nieuwenhuisen and D. Droeschel and D. Holz and J. Stueckler and A. Berner and J Li and R. Klein and S. Behnke},
title = {Mobile bin picking with an anthropomorphic service robot},
booktitle = {Proc. of the IEEE International Conference on Robotics and Automation (ICRA)},
year = {2013},
month = {May},
pages = {2327-2334},
doi = {10.1109/ICRA.2013.6630892},
url = {http://ais.uni-bonn.de/papers/ICRA_13_Nieuwenhuisen_Mobile_Bin-picking.pdf},
}
@inproceedings{hubert-humanoids12,
author = {U. Hubert and J. Stueckler and S. Behnke},
title = {Bayesian calibration of the hand-eye kinematics of an anthropomorphic robot},
booktitle = {Proc. of the 12th IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids)},
year = {2012},
month = {nov},
pages = {618-624},
doi = {10.1109/HUMANOIDS.2012.6651584},
url = {http://ais.uni-bonn.de/papers/Humanoids_2012_Calibration.pdf},
}
@inproceedings{stueckler-iros12,
author = {J. Stueckler and N. Biresev and S. Behnke},
title = {Semantic mapping using object-class segmentation of RGB-D images},
booktitle = {Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS)},
year = {2012},
month = {oct},
pages = {3005-3010},
doi = {10.1109/IROS.2012.6385983},
url = {http://ais.uni-bonn.de/papers/IROS_2012_Semantic_Mapping.pdf},
}
@inproceedings{stueckler-mfi12,
author = {J. Stueckler and S. Behnke},
title = {Integrating depth and color cues for dense multi-resolution scene mapping using RGB-D cameras},
booktitle = {Proc. of the IEEE Int. Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI)},
year = {2012},
month = {sep},
pages = {162-167},
doi = {10.1109/MFI.2012.6343050},
keywords = {vslam},
url = {http://ais.uni-bonn.de/papers/MFI_2012_SLAM.pdf},
}
@inproceedings{muszynski-roman12,
author = {S. Muszynski and J. Stueckler and S. Behnke},
booktitle = {Proc. of the IEEE Int. Symp. on Robot and Human Interactive Communication},
title = {Adjustable autonomy for mobile teleoperation of personal service robots},
year = {2012},
month = {sep},
pages = {933-940},
doi = {10.1109/ROMAN.2012.6343870},
url = {http://ais.uni-bonn.de/papers/RoMan_2012_Muszynski_Tablet.pdf},
}
@inproceedings{fiolka-sc12,
author = {T. Fiolka and J. Stueckler and D. A. Klein and D. Schulz and S. Behnke},
title = {{SURE}: Surface Entropy for Distinctive 3D Features},
booktitle = {Proc. of Spatial Cognition},
year = {2012},
url = {http://ais.uni-bonn.de/papers/Spatial_Cognition_2012_SURE.pdf},
}
@inproceedings{garcia-dagm12,
author = {G. M. García and D. A. Klein and J. Stueckler and S. Frintrop and A. B. Cremers},
title = {Adaptive Multi-cue 3D Tracking of Arbitrary Objects},
booktitle = {DAGM/OAGM Symposium},
editor = {Pinz, Axel and Pock, Thomas and Bischof, Horst and Leberl, Franz},
pages = {357-366},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {7476},
year = {2012},
}
@inproceedings{stueckler-aaai12,
author = {J. Stueckler and S. Behnke},
title = {Model Learning and Real-Time Tracking Using Multi-Resolution Surfel Maps},
conference = {AAAI Conference on Artificial Intelligence},
year = {2012},
url = {https://www.aaai.org/ocs/index.php/AAAI/AAAI12/paper/view/5171},
}
@inproceedings{nieuwenhuisen-robotik12,
author = {M. Nieuwenhuisen and J. Stueckler and A. Berner and R. Klein and S. Behnke},
title = {Shape-Primitive Based Object Recognition and Grasping},
booktitle = {Proc. of ROBOTIK},
publisher = {VDE-Verlag},
year = {2012},
url = {http://ais.uni-bonn.de/papers/robotik2012_nieuwenhuisen_grasping.pdf},
}
@inproceedings{klaess-robotik12,
author = {J. Kläß and J. Stueckler and S. Behnke},
title = {Efficient Mobile Robot Navigation using 3D Surfel Grid Maps},
booktitle = {Proc. of ROBOTIK},
publisher = {VDE-Verlag},
year = {2012},
url = {http://ais.uni-bonn.de/papers/robotik2012_klaess_3dnav.pdf},
}
@inproceedings{stueckler-robotik12,
author = {J. Stueckler and S. Behnke},
title = {Robust Real-Time Registration of RGB-D Images using Multi-Resolution Surfel Representations},
booktitle = {Proc. of ROBOTIK},
publisher = {VDE-Verlag},
year = {2012},
keywords = {vslam},
url = {http://ais.uni-bonn.de/papers/robotik2012_stueckler_mrsreg.pdf},
}
@inproceedings{oehler-icira11,
author = {B. Oehler and J. Stueckler and J. Welle and D. Schulz and S. Behnke},
title = {Efficient Multi-resolution Plane Segmentation of 3D Point Clouds},
booktitle = {Proc. of the Int. Conf. on Intelligent Robotics and Applications (ICIRA)},
year = {2011},
volume = {7102},
series = {Lecture Notes in Computer Science},
editor = {Jeschke, Sabina and Liu, Honghai and Schilberg, Daniel},
doi = {10.1007/978-3-642-25489-5_15},
publisher = {Springer Berlin Heidelberg},
pages = {145-156},
url = {http://ais.uni-bonn.de/papers/ICIRA_2011_Oehler_Stueckler.pdf},
}
@inproceedings{stueckler-humanoids11,
author = {J. Stueckler and S. Behnke},
title = {Following human guidance to cooperatively carry a large object},
booktitle = {Proc. of the 11th IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids)},
year = {2011},
month = {oct},
pages = {218-223},
doi = {10.1109/Humanoids.2011.6100917},
url = {http://ais.uni-bonn.de/papers/Humanoids2011_Stueckler_Behnke.pdf},
}
@inproceedings{stueckler-ecmr11,
author = {J. Stueckler and R. Steffens and D. Holz and S. Behnke},
title = {Real-Time 3D Perception and Efficient Grasp Planning for Everyday Manipulation Tasks.},
booktitle = {Proc. of the European Conf. on Mobile Robots (ECMR)},
pages = {177-182},
year = {2011},
url = {http://ais.uni-bonn.de/papers/ECMR_2011_Stueckler.pdf},
}
@inproceedings{stueckler-robocup11,
author = {J. Stueckler and S. Behnke},
title = {Compliant Task-Space Control with Back-Drivable Servo Actuators},
booktitle = {RoboCup},
editor = {Röfer, Thomas and Mayer, Norbert Michael and Savage, Jesus and Saranli, Uluc},
pages = {78-89},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {7416},
year = {2011},
url = {http://www.ais.uni-bonn.de/papers/robocup2011_compliance.pdf},
}
@inproceedings{droeschel-icra11,
author = {D. Droeschel and J. Stueckler and D. Holz and S. Behnke},
title = {Towards joint attention for a domestic service robot - person awareness and gesture recognition using Time-of-Flight cameras},
booktitle = {Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA)},
year = {2011},
month = {may},
pages = {1205-1210},
doi = {10.1109/ICRA.2011.5980067},
url = {http://ais.uni-bonn.de/papers/ICRA-2011-Droeschel-1.pdf},
}
@inproceedings{stueckler-icra11,
author = {J. Stueckler and S. Behnke},
title = {Interest point detection in depth images through scale-space surface analysis},
booktitle = {Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA)},
year = {2011},
month = {may},
pages = {3568-3574},
doi = {10.1109/ICRA.2011.5980474},
url = {http://ais.uni-bonn.de/papers/ICRA_2011_Stueckler_Behnke.pdf},
}
@inproceedings{droeschel-hri11,
author = {D. Droeschel and J. Stueckler and S. Behnke},
title = {Learning to Interpret Pointing Gestures with a Time-of-flight Camera},
booktitle = {Proceedings of the 6th International Conference on Human-robot Interaction},
year = {2011},
pages = {481--488},
numpages = {8},
doi = {10.1145/1957656.1957822},
publisher = {Advances in Computational Mathematics},
url = {http://ais.uni-bonn.de/papers/HRI_2011_Droeschel.pdf},
}
@inproceedings{graeve-humanoids10,
author = {K. Gräve and J. Stueckler and S. Behnke},
title = {Improving imitated grasping motions through interactive expected deviation learning},
booktitle = {Proc. of the 10th IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids)},
year = {2010},
month = {dec},
pages = {397-404},
doi = {10.1109/ICHR.2010.5686846},
url = {http://ais.uni-bonn.de/papers/IEEE_RAS_2010_Graeve_Stueckler_Behnke.pdf},
}
@inproceedings{stueckler-iros10,
author = {J. Stueckler and S. Behnke},
title = {Combining depth and color cues for scale- and viewpoint-invariant object segmentation and recognition using Random Forests},
booktitle = {Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS)},
year = {2010},
month = {oct},
pages = {4566-4571},
doi = {10.1109/IROS.2010.5654338},
url = {http://ais.uni-bonn.de/papers/IROS_2010_Stueckler.pdf},
}
@inproceedings{stueckler-robocup10,
author = {J. Stueckler and S. Behnke},
title = {Improving People Awareness of Service Robots by Semantic Scene Knowledge},
booktitle = {RobuCup},
editor = {del Solar, Javier Ruiz and Chown, Eric and Plöger, Paul-Gerhard},
pages = {157-168},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {6556},
year = {2010},
url = {http://ais.uni-bonn.de/papers/RoboCup_Symposium_2010_Stueckler.pdf},
}
@inproceedings{holz-robocup10,
author = {D. Holz and R. Schnabel and D. Droeschel and J. Stueckler and S. Behnke},
title = {Towards Semantic Scene Analysis with Time-of-flight Cameras},
booktitle = {RobuCup},
editor = {del Solar, Javier Ruiz and Chown, Eric and Plöger, Paul-Gerhard},
pages = {121--132},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {6556},
year = {2010},
url = {http://ais.uni-bonn.de/papers/RoboCup_Symposium_2010_Holz.pdf},
}
@inproceedings{schulz-robocup10,
author = {H. Schulz and W. Liu and J. Stueckler and S. Behnke},
title = {Utilizing the Structure of Field Lines for Efficient Soccer Robot Localization},
booktitle = {RobuCup},
editor = {del Solar, Javier Ruiz and Chown, Eric and Plöger, Paul-Gerhard},
pages = {397-408},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {6556},
year = {2010},
url = {http://ais.uni-bonn.de/papers/RoboCup_Symposium_2010_Schulz.pdf},
}
@inproceedings{graeve-isr10,
author = {K. Gräve and J. Stueckler and S. Behnke},
title = {Learning Motion Skills from Expert Demonstrations and Own Experience using Gaussian Process Regression},
booktitle = {Proc. of the ISR/ROBOTIK},
pages = {1-8},
publisher = {VDE Verlag},
year = {2010},
url = {http://ais.uni-bonn.de/papers/ISR_Robotik_2010_Graeve_Learning.pdf},
}
@inproceedings{nieuwenhuisen-isr10,
author = {M. Nieuwenhuisen and J. Stueckler and S. Behnke},
title = {Intuitive Multimodal Interaction for Domestic Service Robots},
booktitle = {Proc. of the ISR/ROBOTIK},
publisher = {VDE Verlag},
year = {2010},
url = {http://ais.uni-bonn.de/papers/ISR_Robotik_2010_Nieuwenhuisen_Communication.pdf},
}
@inproceedings{nieuwenhuisen-icra10,
author = {M. Nieuwenhuisen and J. Stueckler and S. Behnke},
title = {Improving indoor navigation of autonomous robots by an explicit representation of doors},
booktitle = {Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA)},
year = {2010},
month = {may},
pages = {4895-4901},
doi = {10.1109/ROBOT.2010.5509689},
url = {http://ais.uni-bonn.de/papers/ICRA_2010_Nieuwenhuisen_Stueckler_Behnke.pdf},
keywords = {vslam},
}
@inproceedings{droeschel-icra10,
author = {D. Droeschel and D. Holz and J. Stueckler and S. Behnke},
title = {Using Time-of-Flight cameras with active gaze control for 3D collision avoidance},
booktitle = {Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA)},
year = {2010},
month = {may},
pages = {4035-4040},
url = {http://ais.uni-bonn.de/papers/ICRA_2010_Droeschel_Holz_Stueckler_Behnke.pdf},
}
@inproceedings{stueckler-humanoids09,
author = {J. Stueckler and S. Behnke},
title = {Integrating indoor mobility, object manipulation, and intuitive interaction for domestic service tasks},
booktitle = {Proc. of the IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids)},
year = {2009},
month = {dec},
pages = {506-513},
doi = {10.1109/ICHR.2009.5379529},
url = {http://www.ais.uni-bonn.de/papers/HUMANOIDS09_Stueckler_Behnke.pdf},
}
@inproceedings{stueckler-ecmr09,
author = {J. Stueckler and M. Schreiber and S. Behnke},
title = {Dynamaid, an Anthropomorphic Robot for Research on Domestic Service Applications},
booktitle = {Proc. of the European Conference on Mobile Robots (ECMR)},
pages = {87-92},
year = {2009},
url = {http://ais.uni-bonn.de/papers/ECMR09_Stueckler.pdf},
}
@inproceedings{stueckler-robotik08,
title = {In-lane Localization in Road Networks using Curbs Detected in Omnidirectional Height Images },
author = {J. Stueckler and H. Schulz and S. Behnke},
booktitle = {Proceedings of Robotik 2008},
year = {2008},
url = {http://www.ais.uni-bonn.de/papers/robotik08.pdf},
}
@inproceedings{stueckler-icra08,
author = {J. Stueckler and S. Behnke},
title = {Orthogonal wall correction for visual motion estimation},
booktitle = {Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA)},
year = {2008},
month = {may},
pages = {1-6},
doi = {10.1109/ROBOT.2008.4543178},
url = {http://ais.uni-bonn.de/papers/ICRA_2008_Orthogonal_Wall_Correction.pdf},
}
@inproceedings{behnke-humanoids07,
author = {S. Behnke and J. Stueckler and M. Schreiber and H. Schulz and M. Böhnert and K. Meier},
title = {Hierarchical reactive control for a team of humanoid soccer robots},
booktitle = {Proc. of the IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids)},
year = {2007},
month = {nov},
pages = {622-629},
doi = {10.1109/ICHR.2007.4813936},
url = {http://www.nimbro.net/papers/Humanoids07_Hierarchical_Reactive_Control.pdf},
}
@inproceedings{behnke-humanoids06,
author = {S. Behnke and M. Schreiber and J. Stueckler and R. Renner and H. Strasdat},
title = {See, walk, and kick: Humanoid robots start to play soccer},
booktitle = {Proc. of the IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids)},
year = {2006},
month = {dec},
pages = {497-503},
doi = {10.1109/ICHR.2006.321319},
url = {http://www.nimbro.net/papers/Humanoids06_Behnke.pdf},
}
@article{stueckler15_jfr_explorer,
author = {J. Stueckler and M. Schwarz and M. Schadler and A. Topalidou-Kyniazopoulou and S. Behnke},
title = {NimbRo Explorer: Semi-Autonomous Exploration and Mobile Manipulation in Rough Terrain},
journal = {Journal of Field Robotics},
year = {2015},
}
@article{droeschel15-jfr-mod,
author = {D. Droeschel and M. Nieuwenhuisen and M. Beul and J. Stueckler and D. Holz and S. Behnke},
title = {Multi-Layered Mapping and Navigation for Autonomous Micro Aerial Vehicles},
journal = {Journal of Field Robotics},
year = {2015},
keywords = {vslam},
}
@inproceedings{Stuehmer-Cremers-emmcvpr15,
author = {J. Stühmer and D. Cremers},
title = {A Fast Projection Method for Connectivity Constraints in Image Segmentation},
booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)},
editor = {X.-C. Tai and E. Bae and T. F. Chan and M. Lysaker},
series = {LNCS},
year = {2015},
keywords = {image-segmentation,constrained convex optimization,shape-priors,medical imaging},
topic = {Segmentation, Shape Priors},
}
@inproceedings{mecca-qcav15,
author = {R. Mecca and E. Rodola and D. Cremers},
title = {Analysis of Surface Parametrizations for Modern Photometric Stereo Modeling},
booktitle = {International Conference on Quality Control by Artificial Vision (QCAV)},
year = {2015},
titleurl = {mecca-qcav15.pdf},
topic = {Photometric Stereo, 3D Reconstruction},
}
@inproceedings{Schmidt-et-al-14,
author = {F. R. Schmidt and T. Windheuser and U. Schlickewei and D. Cremers},
title = {Dense Elastic 3D Shape Matching},
booktitle = {Global Optimization Methods},
series = {LNCS},
volume = {8293},
pages = {1--18},
year = {2014},
publisher = {Springer},
titleurl = {schmidt-et-al-14.pdf},
}
@inproceedings{bergamasco-cvpr15,
author = {F. Bergamasco and A. Albarelli and L. Cosmo and A. Torsello and E. Rodola and D. Cremers},
title = {Adopting an Unconstrained Ray Model in Light-field Cameras for 3D Shape Reconstruction},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2015},
topic = {Calibration, Light Field, 3D Reconstruction},
}
@article{rodola-prl15,
author = {E. Rodola and A. Albarelli and D. Cremers and A. Torsello},
title = {A Simple and Effective Relevance-based Point Sampling for 3D Shapes},
journal = {Pattern Recognition Letters},
volume = {59},
number = {1},
year = {2015},
pages = {41--47},
publisher = {Elsevier},
titleurl = {relevance_sampling.zip},
topic = {Shape Analysis, Shape Matching},
}
@article{mecca-cag15,
author = {R. Mecca and E. Rodola and D. Cremers},
title = {Realistic Photometric Stereo Using Partial Differential Irradiance Equation Ratios},
volume = {51},
month = {Oct.},
pages = {8--16},
journal = {Computers and Graphics},
year = {2015},
publisher = {Elsevier},
topic = {Photometric Stereo, 3D Reconstruction},
doi = {10.1016/j.cag.2015.05.020},
}
@inproceedings{mund15active,
author = {D. Mund and R. Triebel and D. Cremers},
title = {Active Online Confidence Boosting for Efficient Object Classification},
booktitle = {Proc. IEEE International Conference on Robotics and Automation (ICRA)},
year = {2015},
}
@article{moellenhoff-siims-15,
author = {T. Möllenhoff and E. Strekalovskiy and M. Möller and D. Cremers},
title = {The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings},
journal = {SIAM Journal on Imaging Sciences},
year = {2015},
volume = {8},
number = {2},
pages = {827-857},
titleurl = {moellenhoff_et_al_siims15.pdf},
}
@inproceedings{Gomez-et-al-ismrm15,
author = {P.A. Gómez and T. Sprenger and A.A. López and J.I. Sperl and B. Fernandez and M. Molina-Romero and X. Liu and V. Golkov and M. Czisch and P. Saemann and M.I. Menzel and B.H. Menze},
title = {Using Diffusion and Structural {MRI} for the Automated Segmentation of Multiple Sclerosis Lesions},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
year = {2015},
keywords = {magnetic resonance imaging, diffusion MRI, segmentation, medical imaging},
}
@inproceedings{Menzel-et-al-ismrm15,
author = {M.I. Menzel and T. Sprenger and E.T. Tan and V. Golkov and C.J. Hardy and L. Marinelli and J.I. Sperl},
title = {Robustness of Phase Sensitive Reconstruction in Diffusion Spectrum Imaging},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
year = {2015},
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging},
}
@inproceedings{Menini-et-al-ismrm15,
author = {A. Menini and V. Golkov and F. Wiesinger},
title = {Free-Breathing, Self-Navigated {RUFIS} Lung Imaging with Motion Compensated Image Reconstruction},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
year = {2015},
keywords = {magnetic resonance imaging, medical imaging},
}
@inproceedings{Golkov-et-al-miccai2015-qDL,
author = {V. Golkov and A. Dosovitskiy and P. Sämann and J. I. Sperl and T. Sprenger and M. Czisch and M. I. Menzel and P. A. Gómez and A. Haase and T. Brox and D. Cremers},
title = {{q-Space} Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion {MRI} Scans},
booktitle = {Medical Image Computing and Computer Assisted Intervention (MICCAI)},
month = {oct},
year = {2015},
address = {Munich, Germany},
keywords = {magnetic resonance imaging, diffusion MRI, deep learning, q-space deep learning, machine learning, model-free diffusion MRI, segmentation, medical imaging, deep learning},
}
@inproceedings{flownet-iccv-15,
author = {A. Dosovitskiy and P. Fischer and E. Ilg and P. Haeusser and C. Hazirbas and V. Golkov and P. van der Smagt and D. Cremers and T. Brox},
title = {{FlowNet: Learning Optical Flow with Convolutional Networks}},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {deep learning, optical-flow},
year = {2015},
month = {dec},
doi = {10.1109/ICCV.2015.316},
}
@incollection{Golkov-et-al-cdmri2015-holistic,
author = {V. Golkov and J. M. Portegies and A. Golkov and R. Duits and D. Cremers},
title = {Holistic Image Reconstruction for Diffusion {MRI}},
booktitle = {Computational Diffusion {MRI}},
month = {oct},
publisher = {Springer},
year = {2015},
address = {Munich, Germany},
keywords = {magnetic resonance imaging, diffusion MRI, primal-dual, space of positions and orientations, medical imaging},
award = {Book Chapter, and Oral Presentation at {MICCAI} 2015 Workshop on Computational Diffusion {MRI}},
}
@inproceedings{triebel15spencer,
author = {R. Triebel and K. Arras and R. Alami and L. Beyer and S. Breuers and R. Chatila and M. Chetouani and D. Cremers and V. Evers and M. Fiore and H. Hung and O. A. I Ramírez and M. Joosse and H. Khambhaita and T. Kucner and B. Leibe and A. J. Lilienthal and T. Linder and M. Lohse and M. Magnusson and B. Okal and L. Palmieri and U. Rafi and M. van Rooij and L. Zhang},
title = {SPENCER: A Socially Aware Service Robot for Passenger Guidance and Help in Busy Airports},
booktitle = {Proc. Field and Service Robotics (FSR)},
year = {2015},
}
@misc{triebel15approaches,
author = {R. Triebel},
title = {Approaches for Efficient and Autonomous Learning in Robotics and Computer Vision},
year = {2015},
month = {June},
howpublished = {Habilitation thesis at TU Munich, Dep. of Computer Science},
}
@inproceedings{holz2015_depalette,
author = {D. Holz and A. Topalidou-Kyniazopoulou and J. Stueckler and S. Behnke},
title = {Real-Time Object Detection, Localization and Verification for Fast Robotic Depalletizing},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
year = {2015},
url = {http://ais.uni-bonn.de/papers/IROS_2015_Holz.pdf},
}
@inproceedings{engel2015_stereo_lsdslam,
author = {J. Engel and J. Stueckler and D. Cremers},
title = {Large-Scale Direct SLAM with Stereo Cameras},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
year = {2015},
month = {sept},
keywords = {slam, stereo, semidense, reconstruction, vslam},
}
@inproceedings{caruso2015_omni_lsdslam,
author = {D. Caruso and J. Engel and D. Cremers},
title = {Large-Scale Direct SLAM for Omnidirectional Cameras},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
month = {sept},
year = {2015},
keywords = {slam, fisheye, semidense, reconstruction, vslam},
}
@inproceedings{tao15semi,
author = {Y. Tao and R. Triebel and D. Cremers},
title = {Semi-supervised Online Learning for Efficient Classification of Objects in 3D Data Streams},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
month = {sept},
year = {2015},
}
@inproceedings{maier2015superresolution,
author = {R. Maier and J. Stueckler and D. Cremers},
title = {Super-Resolution Keyframe Fusion for 3D Modeling with High-Quality Textures},
booktitle = {International Conference on 3D Vision ({3DV})},
month = {October},
year = {2015},
keywords = {rgb-d},
}
@inproceedings{usenko15_3drecon_stereolsdslam,
author = {V. Usenko and J. Engel and J. Stueckler and D. Cremers},
title = {Reconstructing Street-Scenes in Real-Time From a Driving Car},
booktitle = {Proc. of the Int. Conference on 3D Vision (3DV)},
month = {oct},
year = {2015},
keywords = {slam, stereo, semidense, reconstruction, vslam},
}
@article{mohanarajah2015cloud,
title = {Cloud-based collaborative 3D mapping in real-time with low-cost robots},
author = {G. Mohanarajah and V. Usenko and M. Singh and R. D'Andrea and M. Waibel},
journal = {IEEE Transactions on Automation Science and Engineering},
volume = {12},
number = {2},
pages = {423--431},
year = {2015},
publisher = {IEEE},
}
@inproceedings{usenko12furniture,
title = {Furniture Classification using WWW CAD Models},
author = {V. Usenko and F. Seidel and Z. Marton and D. Pangercic and M. Beetz},
booktitle = {IROS'12 Workshop on Active Semantic Perception},
year = {2012},
}
@inproceedings{jaimez15_mocoop,
author = {M. Jaimez and M. Souiai and J. Stueckler and J. Gonzalez-Jimenez and D. Cremers},
title = {Motion Cooperation: Smooth Piece-Wise Rigid Scene Flow from RGB-D Images},
booktitle = {Proc. of the Int. Conference on 3D Vision (3DV)},
month = {oct},
year = {2015},
keywords = {scene-flow,motion segmentation,rgb-d,primal-dual},
titleurl = {jaimez_et_al_3dv15.pdf},
}
@article{grimmett15introspective,
author = {H Grimmett and R Triebel and R Paul and I Posner},
title = {Introspective classification for robot perception},
journal = {The International Journal of Robotics Research (IJRR)},
year = {2015},
addendum = {{Corrigendum-ibid.}},
}
@inproceedings{rodola-vmv15,
author = {E. Rodola and M. Moeller and D. Cremers},
title = {Point-wise Map Recovery and Refinement from Functional Correspondence},
booktitle = {Proceedings Vision, Modeling and Visualization (VMV)},
year = {2015},
address = {Aachen, Germany},
titleurl = {rodola-vmv15.pdf},
award = {Received the Best Paper Award},
topic = {Shape Analysis, Shape Matching},
}
@inproceedings{kerl15iccv,
author = {C. Kerl and J. Stueckler and D. Cremers},
title = {Dense Continuous-Time Tracking and Mapping with Rolling Shutter {RGB-D} Cameras},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2015},
address = {Santiago, Chile},
keywords = {rgb-d,slam,rgbdslam,dense visual odometry, vo, vslam},
}
@inproceedings{souiai-iccv15,
author = {M. Souiai and M. R. Oswald and Y. Kee and J. Kim and M. Pollefeys and D. Cremers},
title = {Entropy Minimization for Convex Relaxation Approaches},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2015},
address = {Santiago, Chile},
titleurl = {souiai-iccv15.pdf},
keywords = {convex relaxation,DC programming, image segmentation, 3D reconstruction},
}
@article{KeeLYCK15,
author = {Y. Kee and H. Lee and J. Yim and D. Cremers and J. Kim},
title = {Entropy Minimization for Groupwise Planar Shape Co-alignment and its
Applications},
journal = {{IEEE} Signal Process. Lett.},
volume = {22},
number = {11},
pages = {1922--1926},
year = {2015},
}
@inproceedings{stark-gcpr15,
author = {F. Stark and C. Hazirbas and R. Triebel and D. Cremers},
title = {CAPTCHA Recognition with Active Deep Learning},
booktitle = {GCPR Workshop on New Challenges in Neural Computation},
year = {2015},
address = {Aachen, Germany},
keywords = {deep learning},
}
@inproceedings{Schmidt-et-al-dagm11,
author = {F. R. Schmidt and H. Ackermann and B. Rosenhahn},
title = {Multilinear Model Estimation with L2-Regularization},
booktitle = {Pattern Recognition (Proc. DAGM)},
series = {LNCS},
volume = {6835},
pages = {81--90},
month = {Aug},
year = {2011},
publisher = {Springer},
address = {Frankfurt, Germany},
}
@book{emmcvpr-11,
title = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)},
year = {2011},
author = {E: Y. Boykov and F. Kahl and V. Lempitsky and F. R. Schmidt},
volume = {5681},
series = {LNCS},
publisher = {Springer},
}
@book{ijcv-si3-2013,
booktitle = {International Journal of Computer Vision},
title = {Special Issue: Energy Optimization Methods},
year = {2013},
author = {GE: Y. Boykov and F. Kahl and V. Lempitsky and F. R. Schmidt},
volume = {104},
series = {LNCS},
publisher = {Springer},
titleurl = {http://link.springer.com/journal/11263/104/3/page/1},
}
@inproceedings{Delong-et-al-emmcvpr11,
author = {A. Delong and L. Gorelick and F. R. Schmidt and O. Veksler and Y. Boykov},
title = {Interactive Segmentation with Super-Labels},
booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)},
series = {LNCS},
volume = {6819},
pages = {147--162},
month = {Jul},
year = {2011},
publisher = {Springer},
address = {Saint Petersburg, Russia},
keywords = {segmentation},
}
@inproceedings{Schmidt-Boykov-eccv12,
author = {F. R. Schmidt and Y. Boykov},
title = {Hausdorff Distance Constraint for Multi-Surface Segmentation},
booktitle = {European Conference on Computer Vision (ECCV)},
series = {LNCS},
volume = {7572},
pages = {598--611},
month = {Oct},
year = {2012},
publisher = {Springer},
address = {Florence, Italy},
keywords = {segmentation},
}
@inproceedings{Gorelick-et-al-eccv12,
author = {L. Gorelick and F. R. Schmidt and Y. Boykov and A. Delong and A. Ward},
title = {Segmentation with non-linear regional constraints via line-search cuts},
booktitle = {European Conference on Computer Vision (ECCV)},
series = {LNCS},
volume = {7572},
pages = {583--597},
month = {Oct},
year = {2012},
publisher = {Springer},
address = {Florence, Italy},
keywords = {segmentation},
}
@inproceedings{Gorelick-et-al-cvpr13,
author = {L. Gorelick and F. R. Schmidt and Y. Boykov},
title = {Fast Trust Region for Segmentation},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {Jun},
year = {2013},
address = {Portland, Oregon},
keywords = {segmentation},
}
@inproceedings{Nagaraja-et-al-iccv15,
author = {N. Nagaraja and F. R. Schmidt and T. Brox},
title = {Video Segmentation with Just a Few Strokes},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
month = {Dec},
year = {2015},
address = {Santiago, Chile},
keywords = {segmentation, convex-relaxation},
}
@inproceedings{stuehmer-et-al-iccv2015,
author = {J. Stühmer and S. Nowozin and A. Fitzgibbon and R. Szeliski and T. Perry and S. Acharya and D. Cremers and J. Shotton},
title = {Model-Based Tracking at 300Hz using Raw Time-of-Flight Observations},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2015},
address = {Santiago, Chile},
keywords = {rgb-d,tracking,3D reconstruction},
}
@article{rodola-partial,
author = {E. Rodola and L. Cosmo and M. M. Bronstein and A. Torsello and D. Cremers},
title = {Partial Functional Correspondence},
volume = {36},
number = {1},
pages = {222--236},
year = {2017},
journal = {Computer Graphics Forum},
publisher = {Wiley},
topic = {Shape Analysis, Shape Matching},
titleurl = {rodola-partial.pdf},
}
@article{cosmo-multiway,
author = {L. Cosmo and E. Rodola and A. Albarelli and F. Memoli and D. Cremers},
title = {Consistent Partial Matching of Shape Collections via Sparse Modeling},
year = {2017},
volume = {36},
number = {1},
pages = {209--221},
journal = {Computer Graphics Forum},
publisher = {Wiley},
topic = {Shape Analysis, Shape Matching},
titleurl = {cosmo-multiway.pdf},
}
@article{boscaini-eg16,
author = {D. Boscaini and J. Masci and E. Rodola and M. M. Bronstein and D. Cremers},
title = {Anisotropic Diffusion Descriptors},
year = {2016},
journal = {Computer Graphics Forum - Proc. EUROGRAPHICS},
publisher = {Wiley},
volume = {35},
number = {2},
pages = {431--441},
topic = {Shape Analysis, Shape Matching},
}
@inproceedings{MayerIHFCDB16,
author = {N. Mayer and E. Ilg and P. Häusser and P. Fischer and D. Cremers and A. Dosovitskiy and T. Brox},
title = {A Large Dataset to Train Convolutional Networks for Disparity, Optical
Flow, and Scene Flow Estimation},
booktitle = {2016 {IEEE} Conference on Computer Vision and Pattern Recognition,
{CVPR} 2016, Las Vegas, NV, USA, June 27-30, 2016},
pages = {4040--4048},
publisher = {{IEEE} Computer Society},
year = {2016},
}
@article{bergamasco-pami16,
author = {F. Bergamasco and A. Albarelli and L. Cosmo and E. Rodola and A. Torsello},
title = {An Accurate and Robust Artificial Marker based on Cyclic Codes},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {2016},
}
@inproceedings{Golkov-et-al-isbi2016,
author = {V. Golkov and T. Sprenger and J. I. Sperl and M. I. Menzel and M. Czisch and P. Sämann and D. Cremers},
title = {Model-Free Novelty-Based Diffusion {MRI}},
booktitle = {{IEEE} International Symposium on Biomedical Imaging ({ISBI})},
month = {apr},
year = {2016},
address = {Prague, Czech Republic},
keywords = {magnetic resonance imaging, diffusion MRI, novelty detection, q-space, machine learning, model-free diffusion MRI, segmentation, medical imaging},
}
@inproceedings{Golkov-et-al-nips2016,
author = {V. Golkov and M. J. Skwark and A. Golkov and A. Dosovitskiy and T. Brox and J. Meiler and D. Cremers},
title = {Protein Contact Prediction from Amino Acid Co-Evolution Using Convolutional Networks for Graph-Valued Images},
booktitle = {Annual Conference on Neural Information Processing Systems (NIPS)},
month = {dec},
year = {2016},
address = {Barcelona, Spain},
keywords = {computational structural biology, deep learning, convolutional networks, graph-valued images, deep learning, biology},
award = {Oral Presentation (acceptance rate: under 2%)},
}
@article{Sprenger-et-al-mrm2016,
author = {T. Sprenger and J. I. Sperl and B. Fernandez and V. Golkov and I. Eidner and P. G. Sämann and M. Czisch and E. T. Tan and C. J. Hardy and L. Marinelli and A. Haase and M. I. Menzel},
title = {Bias and Precision Analysis of Diffusional Kurtosis Imaging for Different Acquisition Schemes},
year = {2016},
journal = {Magnetic Resonance in Medicine},
}
@article{Golkov-et-al-tmi2016,
author = {V. Golkov and A. Dosovitskiy and J. I. Sperl and M. I. Menzel and M. Czisch and P. Sämann and T. Brox and D. Cremers},
title = {{q-Space} Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion {MRI} Scans},
year = {2016},
journal = {IEEE Transactions on Medical Imaging},
volume = {35},
issue = {5},
keywords = {magnetic resonance imaging, diffusion MRI, deep learning, q-space deep learning, machine learning, model-free diffusion MRI, segmentation, medical imaging, deep learning},
issuetitle = {Special Issue on Deep Learning},
award = {Special Issue on Deep Learning},
}
@inproceedings{LRSBC16,
author = {Z. Lähner and E. Rodola and F. R. Schmidt and M. M. Bronstein and D. Cremers},
title = {Efficient Globally Optimal 2D-to-3D Deformable Shape Matching},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {May},
year = {2016},
keywords = {Shape Analysis, Geometry Processing},
url = {http://vision.in.tum.de/~laehner/Elastic2D3D/},
}
@inproceedings{usenko16icra,
title = {Direct Visual-Inertial Odometry with Stereo Cameras},
author = {V. Usenko and J. Engel and J. Stueckler and D. Cremers},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2016},
month = {May},
keywords = {visual inertial odometry, sensor fusion, vio, vslam},
}
@inproceedings{narr16stream,
title = {Stream-based Active Learning for Efficient and Adaptive Classification of 3D Objects},
author = {A. Narr and R. Triebel and D. Cremers},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2016},
month = {May},
}
@inproceedings{SHREC16-3dor,
title = {SHREC’16: Matching of Deformable Shapes with Topological Noise},
author = {Z. Lähner and E. Rodola and M. M. Bronstein and D. Cremers and O. Burghard and L. Cosmo and A. Dieckmann and R. Klein and Y. Sahillioglu},
booktitle = {Proc. of Eurographics Workshop on 3D Object Retrieval (3DOR)},
year = {2016},
month = {May},
topic = {Shape Analysis},
url = {http://vision.in.tum.de/~laehner/shrec2016/},
keywords = {Shape Analysis, Shape Matching, SHREC, Topology, Geometry Processing},
}
@inproceedings{shrec16-partial,
title = {SHREC’16: Partial Matching of Deformable Shapes},
author = {L. Cosmo and E. Rodola and M. M. Bronstein and A. Torsello and D. Cremers and Y. Sahillioglu},
booktitle = {Proc. of Eurographics Workshop on 3D Object Retrieval (3DOR)},
year = {2016},
month = {May},
keywords = {Shape Analysis, Shape Matching, SHREC},
}
@inproceedings{moellenhoff-laude-cvpr16,
author = {T. Möllenhoff and E. Laude and M. Moeller and J. Lellmann and D. Cremers},
title = {Sublabel-Accurate Relaxation of Nonconvex Energies},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2016},
titleurl = {moellenhoff_laude_cvpr_16.pdf},
keywords = {convex-relaxation},
award = {Oral Presentation, Received the Best Paper Honorable Mention Award at CVPR 2016},
}
@inproceedings{lingni17iros,
author = {L. Ma and J. Stueckler and C. Kerl and D. Cremers},
title = {Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
address = {Vancouver, Canada},
year = {2017},
month = {Sep},
keywords = {CNN, semantic segmentation, multi-view},
}
@inproceedings{lingni16icra,
author = {L. Ma and C. Kerl and J. Stueckler and D. Cremers},
title = {CPA-SLAM: Consistent Plane-Model Alignment for Direct RGB-D SLAM},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2016},
month = {May},
keywords = {RGB-D SLAM, semantic segmentation, vslam},
}
@inproceedings{lingni13ecmr,
author = {L. Ma and T. Whelan and E. Bondarev and P. H. N. de With and J. McDonald},
booktitle = {Mobile Robots (ECMR), 2013 European Conference on},
title = {Planar simplification and texturing of dense point cloud maps},
year = {2013},
pages = {164-171},
doi = {10.1109/ECMR.2013.6698837},
month = {Sept},
}
@article{lingni14ras,
author = {T. Whelan and L. Ma and E. Bondarev and P. de With and J. McDonald},
title = {Incremental and Batch Planar Simplification of Dense Point Cloud Maps},
journal = {Robotics and Autonomous Systems (RAS) ECMR '13 Special Issue},
issue_date = {July 2015},
volume = {69},
number = {C},
month = {Jul},
year = {2015},
issn = {0921-8890},
pages = {3--14},
numpages = {12},
publisher = {North-Holland Publishing Co.},
}
@article{litany16,
author = {O. Litany and E. Rodola and A. M. Bronstein and M. M. Bronstein and D. Cremers},
title = {Non-Rigid Puzzles},
journal = {Computer Graphics Forum},
volume = {35},
number = {5},
pages = {135--143},
award = {Received the Best Paper Award at SGP 2016},
year = {2016},
publisher = {Wiley},
topic = {Shape Analysis, Segmentation},
titleurl = {litany16.pdf},
}
@article{strumia-et-al-TMI16,
author = {M. Strumia and F. R. Schmidt and C. Anastasopoulos and C. Granziera and G. Krueger and T. Brox},
title = {White Matter MS-Lesion Segmentation Using a Geometric Brain Model},
journal = {IEEE Transactions on Medical Imaging},
number = {7},
volume = {35},
pages = {1636 -- 1646},
month = {jul},
year = {2016},
topic = {Shape Analysis, Segmentation},
}
@inproceedings{engel2016monodataset,
author = {J. Engel and V. Usenko and D. Cremers},
title = {A Photometrically Calibrated Benchmark For Monocular Visual Odometry},
booktitle = {arXiv:1607.02555},
arxiv = { arXiv:1607.02555},
year = {2016},
month = {July},
keywords = {mono-ds,dso,photometric-calibration, vo, vslam},
}
@inproceedings{engel2016dso,
author = {J. Engel and V. Koltun and D. Cremers},
title = { Direct Sparse Odometry},
booktitle = {arXiv:1607.02565},
arxiv = { arXiv:1607.02565},
year = {2016},
month = {July},
keywords = {mono-ds,dso, vslam},
}
@article{Engel-et-al-pami2018,
author = {J. Engel and V. Koltun and D. Cremers},
title = { Direct Sparse Odometry},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {2018},
month = {mar},
titleurl = {engel_et_al_pami2018.pdf},
keywords = {mono-ds,dso,directsparseodometry, vslam},
}
@inproceedings{laude16eccv,
author = {E. Laude and T. Möllenhoff and M. Moeller and J. Lellmann and D. Cremers},
title = {Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies},
year = {2016},
month = {October},
booktitle = {European Conference on Computer Vision (ECCV)},
keywords = {convex-optimization, convex-relaxation, multilabeling, primal-dual},
}
@inproceedings{BenderCK16,
author = {D. Bender and D. Cremers and W. Koch},
title = {A position free boresight calibration for INS-camera systems},
booktitle = {2016 {IEEE} International Conference on Multisensor Fusion and Integration
for Intelligent Systems, {MFI} 2016, Baden-Baden, Germany, September
19-21, 2016},
pages = {52--57},
publisher = {{IEEE}},
year = {2016},
}
@inproceedings{chiotellis2016csdlmnn,
author = {I. Chiotellis and R. Triebel and T. Windheuser and D. Cremers},
title = {Non-Rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2016},
month = {October},
keywords = {Geometry Processing},
}
@inproceedings{hazirbasma2016fusenet,
author = {C. Hazirbas and L. Ma and C. Domokos and D. Cremers},
title = {{FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture}},
booktitle = {Asian Conference on Computer Vision},
year = {2016},
month = {november},
keywords = {segmentation, deep learning},
}
@inproceedings{windheusercremers2016,
author = {T. Windheuser and D. Cremers},
title = {A Convex Solution to Spatially-Regularized Correspondence Problems},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2016},
month = {October},
topic = {Shape Analysis, Convex Relaxation Methods, Correspondence},
keywords = {Geometry Processing},
}
@article{vestner2016bayesian,
title = {Bayesian Inference of Bijective Non-Rigid Shape Correspondence},
author = {M. Vestner and R. Litman and A. Bronstein and E. Rodola and D. Cremers},
journal = {arXiv preprint arXiv:1607.03425},
year = {2016},
titleurl = {2016_Bayesian_Inference_Shape.pdf},
topic = {Shape Analysis, Shape Matching},
}
@inproceedings{vestner2017pmf,
title = {Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density
Estimation in the Product Space},
author = {M. Vestner and R. Litman and E. Rodola and A. Bronstein and D. Cremers},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2017},
titleurl = {2017_ProductManifoldFilter.pdf},
topic = {Shape Analysis, Shape Matching},
keywords = {Geometry Processing},
}
@inproceedings{dzitsiuk2017icra,
title = {De-noising, Stabilizing and Completing {3D} Reconstructions On-the-go using Plane Priors},
author = {M. Dzitsiuk and J. Sturm and R. Maier and L. Ma and D. Cremers},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2017},
month = {May},
keywords = {rgb-d,slam,rgbdslam,reconstruction,3d-reconstruction,fusion},
}
@inproceedings{stumberg16exploration,
author = {L. von Stumberg and V. Usenko and J. Engel and J. Stueckler and D. Cremers},
title = {From Monocular {SLAM} to Autonomous Drone Exploration},
booktitle = {European Conference on Mobile Robots (ECMR)},
arxiv = {arXiv:1609.07835},
year = {2017},
month = {September},
keywords = {vslam},
}
@inproceedings{walch16spatialstms,
author = {F. Walch and C. Hazirbas and L. Leal-Taixé and T. Sattler and S. Hilsenbeck and D. Cremers},
title = {Image-based localization using LSTMs for structured feature correlation},
month = {October},
year = {2017},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {deep learning},
}
@incollection{vestner2016applying,
title = {Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence},
author = {M. Vestner and E. Rodolà and T. Windheuser and RBS. Bulò and D. Cremers},
booktitle = {Perspectives in Shape Analysis},
pages = {231--248},
year = {2016},
publisher = {Springer},
keywords = {Geometry Processing},
}
@article{Mecca2016Single,
author = {R. Mecca and Y. Quéau and F. Logothetis and R. Cipolla},
title = {{A Single-Lobe Photometric Stereo Approach for Heterogeneous Material}},
journal = {SIAM Journal on Imaging Sciences},
volume = {9},
number = {4},
pages = {1858--1888},
year = {2016},
doi = {10.1137/16M1068177},
titleurl = {SIIMS_PS.pdf},
}
@inproceedings{sahand2016drive,
author = {S. Sharifzadeh and I. Chiotellis and R. Triebel and D. Cremers},
title = {Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks},
year = {2016},
publisher = {NIPS Workshops},
month = {December},
keywords = {autonomous driving, reinforcement learning, artificial intelligence, DQN, deep learning},
}
@article{Queau2017PS2,
author = {Y. Quéau and R. Mecca and J.-D. Durou and X. Descombes},
journal = {Image and Vision Computing},
title = {{Photometric Stereo with Only Two Images: A Theoretical Study and Numerical Resolution}},
volume = {57},
pages = {175--191},
year = {2017},
doi = {10.1016/j.imavis.2016.11.006},
titleurl = {IVC_PS2},
award = {Editor's choice},
}
@inproceedings{Peeken-et-al-2017,
author = {J.C. Peeken and C. Knie and V. Golkov and K. Kessel and F. Pasa and Q. Khan and M. Seroglazov and J. Kukačka and T. Goldberg and L. Richter and J. Reeb and B. Rost and F. Pfeiffer and D. Cremers and F. Nüsslin and S.E. Combs},
title = {Establishment of an interdisciplinary workflow of machine learning-based Radiomics in sarcoma patients},
year = {2017},
booktitle = {23. Jahrestagung der Deutschen Gesellschaft für Radioonkologie (DEGRO)},
keywords = {deep learning, medical imaging},
}
@inproceedings{Golkov-et-al-arxiv2017-function3d,
author = {V. Golkov and M. J. Skwark and A. Mirchev and G. Dikov and A. R. Geanes and J. Mendenhall and J. Meiler and D. Cremers},
title = {{3D} Deep Learning for Biological Function Prediction from Physical Fields},
booktitle = {International Conference on 3D Vision (3DV)},
year = {2020},
journal = {arXiv preprint arXiv:1704.04039},
eprint = {1704.04039},
eprinttype = {arXiv},
keywords = {computational structural biology, deep learning, convolutional networks, protein function, QSAR, deep learning, biology},
}
@inproceedings{Queau2017Micro,
author = {Y. Quéau and M. Pizenberg and J.-D. Durou and D. Cremers},
title = {Microgeometry capture and RGB albedo estimation by photometric stereo without demosaicing},
booktitle = {International Conference on Quality Control by Artificial Vision (QCAV)},
year = {2017},
titleurl = {qcav2017_microgeometry.pdf},
}
@inproceedings{haeusser-cvpr17,
author = {P. Haeusser and A. Mordvintsev and D. Cremers},
title = {Learning by Association - A versatile semi-supervised training method for neural networks},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2017},
keywords = {semi-supervised, deep learning, neural networks, association, associative_learning},
titleurl = {haeusser_cvpr_17.pdf},
}
@inproceedings{slavcheva-et-al-cvpr17,
author = {M. Slavcheva and M. Baust and D. Cremers and S. Ilic},
title = {KillingFusion: Non-rigid 3D Reconstruction without Correspondences},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2017},
titleurl = {slavcheva_et_al_cvpr17.pdf},
}
@inproceedings{usenko17replanning,
author = {V. Usenko and L. von Stumberg and A. Pangercic and D. Cremers},
title = {Real-Time Trajectory Replanning for MAVs using Uniform B-splines and a 3D Circular Buffer},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
address = {Vancouver, Canada},
year = {2017},
month = {Sep},
award = {Best Paper Award - Finalist ({link})},
keywords = {trajectory, replanning, MAV},
}
@article{Bahr2017CVM,
author = {M. Bähr and M. Breuß and Y. Quéau and A. S. Bouroujerdi and J.-D. Durou},
journal = {Computational Visual Media},
title = {{Fast and accurate surface normal integration on non-rectangular domains}},
titleurl = {CVM_integration.pdf},
volume = {3},
issue = {2},
pages = {107--129},
year = {2017},
doi = {10.1007/s41095-016-0075-z},
}
@inproceedings{BenderRSCK16,
author = {D. Bender and F. Rouatbi and M. Schikora and D. Cremers and W. Koch},
title = {Scaling the world of monocular {SLAM} with INS-measurements for {UAS}
navigation},
booktitle = {19th International Conference on Information Fusion, {FUSION} 2016,
Heidelberg, Germany, July 5-8, 2016},
pages = {1493--1500},
publisher = {{IEEE}},
year = {2016},
keywords = {vslam},
}
@inproceedings{QueauSSVM2017,
address = {Kolding, Denmark},
author = {Y. Quéau and T. Wu and D. Cremers},
booktitle = {International Conference on Scale Space and Variational Methods in Computer Vision (SSVM)},
%pages = {},
%series = {Lecture Notes in Computer Science},
title = {{Semi-Calibrated Near-Light Photometric Stereo}},
%volume = {},
year = {2017},
addendum = {(To appear)},
titleurl = {ssvm_PS.pdf},
}
@inproceedings{MelouSSVM2017,
address = {Kolding, Denmark},
author = {J. Mélou and Y. Quéau and J.-D. Durou and F. Castan and D Cremers},
booktitle = {International Conference on Scale Space and Variational Methods in Computer Vision (SSVM)},
%pages = {},
%series = {Lecture Notes in Computer Science},
title = {{Beyond Multi-view Stereo: Shading-Reflectance Decomposition}},
%volume = {},
year = {2017},
addendum = {(To appear)},
titleurl = {SSVM2017.pdf},
}
@inproceedings{LauzeSSVM2017,
address = {Kolding, Denmark},
author = {F. Lauze and Y. Quéau and E. Plenge},
booktitle = {International Conference on Scale Space and Variational Methods in Computer Vision (SSVM)},
%pages = {},
%series = {Lecture Notes in Computer Science},
title = {{Simultaneous Reconstruction and Segmentation of CT Scans with Shadowed Data}},
%volume = {},
year = {2017},
addendum = {(To appear)},
titleurl = {srstvkmeans.pdf},
}
@inproceedings{QueauCVPR2017,
address = {Honlulu, USA},
author = {Y. Quéau and T. Wu and F. Lauze and J.-D. Durou and D. Cremers},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
title = {{A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting}},
year = {2017},
titleurl = {camera_Ready-robust_PS.pdf},
}
@inproceedings{meinhardt17learning,
author = {T. Meinhardt and M. Moeller and C. Hazirbas and D. Cremers},
title = {Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems},
month = {October},
year = {2017},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {deep learning},
}
@inproceedings{hazirbas18ddff,
author = {C. Hazirbas and S. G. Soyer and M. C. Staab and L. Leal-Taixé and D. Cremers},
title = {{Deep Depth From Focus}},
year = {2018},
month = {December},
booktitle = {Asian Conference on Computer Vision (ACCV)},
keywords = {deep learning},
}
@inproceedings{osvosCVPR2017,
address = {Honolulu, USA},
author = {S. Caelles and K.-K. Maninis and J. Pont-Tuset and L. Leal-Taixé and D. Cremers and L. V Gool},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
title = {{One-Shot Video Object Segmentation}},
year = {2017},
keywords = {deep learning},
}
@inproceedings{QueauMVSFS2017,
author = {Y. Quéau and J. Mélou and J.-D. Durou and D. Cremers},
title = {{Dense Multi-view 3D-reconstruction Without Dense Correspondences}},
year = {2017},
booktitle = {ArXiv preprint 1704.00337},
titleurl = {TechRep_MV_SfS.pdf},
}
@article{yang18challenges,
author = {N. Yang and R. Wang and X. Gao and D. Cremers},
title = {Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect},
journal = { In IEEE Robotics and Automation Letters (RA-L) & Int. Conference on Intelligent Robots and Systems (IROS)},
volume = {3},
issue = {4},
pages = {2878--2885},
year = {2018},
month = {Oct},
doi = {10.1109/LRA.2018.2846813},
titleurl = {yang18challenges.pdf},
keywords = {Brightness;Calibration;Cameras;Feature extraction;Optimization;Robustness;Simultaneous localization and mapping;Localization;SLAM;performance evaluation and benchmarking;vslam},
}
@article{krieg2017genetic,
title = {Genetic defects in ß-spectrin and tau sensitize C. elegans axons to movement-induced damage via torque-tension coupling},
author = {M. Krieg and J. Stühmer and J. G. Cueva and R. Fetter and K. Spilker and D. Cremers and K. Shen and A. R. Dunn and M. B. Goodman},
journal = {eLife},
volume = {6},
pages = {e20172},
year = {2017},
publisher = {eLife Sciences Publications Limited},
keywords = {biology},
}
@article{krieg2017tau,
title = {Tau Like Proteins Reduce Torque Generation in Microtubule Bundles},
author = {M. Krieg and J. Stühmer and J. G. Cueva and R. Fetter and K. Spilker and D. Cremers and K. Shen and A. R. Dunn and M. B. Goodman},
journal = {Biophysical Journal},
volume = {112},
number = {3},
pages = {29a--30a},
year = {2017},
publisher = {Elsevier},
keywords = {biology},
}
@phdthesis{3fe0096d7535f41a739df977ebf48ebd,
author = {J Stühmer},
title = {A Convex Optimization Framework for Connectivity Constraints in Image Segmentation and 3D Reconstruction},
type = {Dissertation},
school = {Technische Universität München},
address = {München},
year = {2016},
titleurl = {stuehmer-phd-thesis.pdf},
}
@inproceedings{kurach2017,
author = {K. Kurach and S. Gelly and M. Jastrzebski and P. Haeusser and O. Teytaud and D. Vincent and O. Bousquet},
title = {Better Text Understanding Through Image-To-Text Transfer},
booktitle = {arxiv:1705.08386},
arxiv = {arxiv:1705.08386},
year = {2017},
month = {May},
keywords = {Multimodal, Text, Embeddings, deep learning, associative_learning},
titleurl = {kurach2017.pdf},
}
@inproceedings{haeusser_iccv_17,
author = {P. Haeusser and T. Frerix and A. Mordvintsev and D. Cremers},
title = {Associative Domain Adaptation},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2017},
keywords = {semi-supervised, deep learning, neural networks, association, domain adaptation, associative_learning},
titleurl = {haeusser_iccv_17.pdf},
}
@inproceedings{QueauGRETSI2017,
address = {Juan-les-Pins, USA},
author = {Y. Quéau and M. Pizenberg and D. Cremers and J.-D. Durou},
booktitle = {GRETSI},
title = {{Stéréophotométrie microscopique sans démosaïquage}},
year = {2017},
titleurl = {gretsifr.pdf},
}
@article{QueauPS2017,
author = {Y. Quéau and B. Durix and T. Wu and D. Cremers and F. Lauze and J.-D. Durou},
title = {{LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution}},
year = {2018},
volume = {60},
number = {3},
pages = {313--340},
titleurl = {JMIV_LEDs.pdf},
journal = {Journal of Mathematical Imaging and Vision},
doi = {10.1007/s10851-017-0761-1},
}
@inproceedings{kernel17,
author = {M. Vestner and Z. Lähner and A. Boyarski and O. Litany and R. Slossberg and T. Remez and E. Rodolà and A. M. Bronstein and M. M. Bronstein and R. Kimmel and D. Cremers},
title = {Efficient Deformable Shape Correspondence via Kernel Matching},
booktitle = {International Conference on 3D Vision (3DV)},
year = {2017},
month = {October},
address = {Qingdao, China},
award = {Oral Presentation},
keywords = {Shape Analysis, Shape Matching, Geometry Processing},
}
@inproceedings{maier2017efficient,
title = {Efficient Online Surface Correction for Real-time Large-Scale {3D} Reconstruction},
author = {R. Maier and R. Schaller and D. Cremers},
booktitle = {British Machine Vision Conference (BMVC)},
year = {2017},
month = {September},
address = {London, United Kingdom},
keywords = {rgb-d,slam,rgbdslam,rgb-d benchmark,reconstruction,3d-reconstruction,fusion,vslam},
}
@inproceedings{GeipingDC017,
author = {J. Geiping and H. Dirks and D. Cremers},
editor = {Marcello Pelillo and
Edwin R. Hancock},
title = {Multiframe Motion Coupling for Video Super Resolution},
booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition
- 11th International Conference, {EMMCVPR} 2017, Venice, Italy, October
30 - November 1, 2017, Revised Selected Papers},
series = {Lecture Notes in Computer Science},
volume = {10746},
pages = {123--138},
publisher = {Springer},
year = {2017},
}
@inproceedings{golyanik2017multiframe,
title = {Multiframe Scene Flow with Piecewise Rigid Motion},
author = {V. Golyanik and K. Kim and R. Maier and M. Niessner and D. Stricker and J. Kautz},
booktitle = {International Conference on 3D Vision (3DV)},
year = {2017},
month = {October},
address = {Qingdao, China},
award = {Spotlight Presentation},
keywords = {scene-flow,motion segmentation,rgb-d},
}
@inproceedings{maier2017intrinsic3d,
title = {Intrinsic3D: High-Quality {3D} Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting},
author = {R. Maier and K. Kim and D. Cremers and J. Kautz and M. Niessner},
booktitle = {International Conference on Computer Vision (ICCV)},
year = {2017},
month = {October},
address = {Venice, Italy},
keywords = {rgb-d,reconstruction,3d-reconstruction,fusion,intrinsic3d},
}
@article{rodola2018funmaprep,
title = {Functional Maps Representation on Product Manifolds},
author = {E Rodolà and Z Lähner and AM. Bronstein and MM. Bronstein and J Solomon},
journal = {{Computer Graphics Forum}},
volume = {38},
issue = {1},
year = {2019},
keywords = { Geometry Processing },
}
@inproceedings{sang2020wacv,
title = {Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach},
author = {L. Sang and B. Haefner and D. Cremers},
booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
month = {March},
address = {Colorado, USA},
year = {2020},
doi = {10.1109/WACV45572.2020.9093491},
eprint = {1912.06501},
eprinttype = {arXiv},
eprintclass = {cs.CV},
award = {Spotlight Presentation},
titleurl = {sang2020wacv.pdf},
keywords = {3d-reconstruction,rgb-d,photometry},
}
@inbook{maier2020rgbdvision,
title = {{RGB-D Vision}},
author = {R. Maier and D. Cremers},
chapter = {Encyclopedia of Robotics},
editor = {Ang, M.H. and Khatib, O. and Siciliano, B.},
year = {2020},
publisher = {Springer Berlin Heidelberg},
address = {Berlin, Heidelberg},
pages = {1--11},
isbn = {978-3-642-41610-1},
doi = {10.1007/978-3-642-41610-1_109-1},
url = {https://doi.org/10.1007/978-3-642-41610-1_109-1},
keywords = {rgbd, vslam},
}
@inbook{brahimi2020springer,
title = {On the Well-Posedness of Uncalibrated Photometric Stereo Under General Lighting},
author = {M Brahimi and Y Quéau and B Haefner and D Cremers},
editor = {Durou, Jean-Denis and Falcone, Maurizio and Qu{\'e}au, Yvain and Tozza, Silvia},
booktitle = {Advances in Photometric 3D-Reconstruction},
year = {2020},
publisher = {Springer International Publishing},
address = {Cham},
pages = {147--176},
isbn = {978-3-030-51866-0},
doi = {10.1007/978-3-030-51866-0_5},
eprint = {1911.07268},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {brahimi2020springer.pdf},
keywords = {photometry},
}
@inproceedings{brahimi2022arxiv,
title = {{SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering}},
author = {M Brahimi and B Haefner and T Yenamandra and B Goldluecke and D Cremers},
booktitle = {{IEEE Winter Conference on Applications of Computer Vision (WACV)}},
month = {January},
address = {Hawaii, USA},
year = {2024},
eprint = {2212.04968},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {brahimi2022arxiv.pdf},
keywords = {d-reconstruction,photometry,deep learning,geometry processing},
}
@inproceedings{DykeSLRABBBCFGG19,
author = {R. Dyke and C. Stride and Y.-K. Lai and P. L. Rosin and M. Aubry and A. Boyarski and A. M. Bronstein and M. M. Bronstein and D. Cremers and M. Fisher and T. Groueix and D. Guo and V. G. Kim and R. Kimmel and Z. Lähner and K. Li and O. Litany and T. Remez and E. Rodolà and B. C. Russell and Y. Sahillioglu and R. Slossberg and G. K. L. Tam and M. Vestner and Z. Wu and J. Yang},
editor = {Silvia Biasotti and
Guillaume Lavou{\'{e}} and
Remco C. Veltkamp},
title = {Shape Correspondence with Isometric and Non-Isometric Deformations},
booktitle = {12th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics
2019, Genoa, Italy, May 5-6, 2019},
pages = {111--119},
publisher = {Eurographics Association},
year = {2019},
keywords = {Geometry Processing},
}
@inproceedings{haefner20193dv,
title = {Photometric Segmentation: Simultaneous Photometric Stereo and Masking},
author = {B. Haefner and Y. Quéau and D. Cremers},
booktitle = {International Conference on 3D Vision (3DV)},
month = {September},
address = {Québec City, Canada},
year = {2019},
doi = {10.1109/3DV.2019.00033},
award = {Spotlight Presentation},
titleurl = {haefner20193dv.pdf},
keywords = {photometry},
}
@inproceedings{haefner20213dv,
title = {Recovering Real-world Reflectance Properties and Shading from HDR Imagery},
author = {B. Haefner and S. Green and A. Oursland and D. Andersen and M. Goesele and D. Cremers and R. Newcombe and T. Whelan},
booktitle = {International Conference on 3D Vision (3DV)},
year = {2021},
doi = {10.1109/3DV53792.2021.00115},
titleurl = {haefner20213dv.pdf},
award = {Spotlight Presentation},
keywords = {photometry},
}
@inproceedings{haefner2019iccv,
title = {Variational Uncalibrated Photometric Stereo under General Lighting},
author = {B. Haefner and Z. Ye and M. Gao and T. Wu and Y. Quéau and D. Cremers},
booktitle = {IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
address = {Seoul, South Korea},
eprint = {1904.03942},
eprinttype = {arXiv},
eprintclass = {cs.CV},
year = {2019},
doi = {10.1109/ICCV.2019.00863},
titleurl = {haefner2019iccv.pdf},
keywords = {d-reconstruction,photometry,variational},
}
@article{laude2020jota,
title = {Bregman Proximal Mappings and Bregman-Moreau Envelopes under Relative Prox-Regularity},
author = {E. Laude and P. Ochs and D. Cremers},
journal = {Journal of Optimization Theory and Applications},
volume = {184},
number = {3},
pages = {724-761},
year = {2020},
eprint = {1907.04306},
eprinttype = {arXiv},
eprintclass = {math.OC},
}
@article{haefner2020tpami,
title = {Photometric Depth Super-Resolution},
author = {B. Haefner and S. Peng and A. Verma and Y. Quéau and D. Cremers},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
year = {2020},
volume = {42},
number = {10},
pages = {2453-2464},
doi = {10.1109/TPAMI.2019.2923621},
eprint = {1809.10097},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {haefner2020tpami.pdf},
keywords = {rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
}
@article{MoellerBSC15,
author = {M. Möller and M. Benning and C. Schönlieb and D. Cremers},
title = {Variational Depth From Focus Reconstruction},
journal = {{IEEE} Trans. Image Process.},
volume = {24},
number = {12},
pages = {5369--5378},
year = {2015},
}
@inproceedings{haefner2018cvpr,
title = {Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading},
author = {B. Haefner and Y. Quéau and T. Möllenhoff and D. Cremers},
booktitle = {I{EEE}/{CVF} {C}onference on {C}omputer {V}ision and {P}attern {R}ecognition
(CVPR)},
year = {2018},
doi = {10.1109/CVPR.2018.00025},
titleurl = {haefner2018cvpr.pdf},
award = {Spotlight Presentation},
keywords = {rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
}
@inproceedings{peng2017,
title = {Depth Super-Resolution Meets Uncalibrated Photometric Stereo},
author = {S. Peng and B. Haefner and Y. Quéau and D. Cremers},
booktitle = {{IEEE International Conference on Computer Vision Workshops (ICCVW)}},
year = {2017},
doi = {10.1109/ICCVW.2017.349},
eprint = {1708.00411},
eprinttype = {arXiv},
eprintclass = {cs.CV},
award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision},
titleurl = {peng2017iccvw.pdf},
keywords = {rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
}
@inproceedings{yen2019SDPIK,
author = {T. Yenamandra and F. Bernard and J. Wang and F. Mueller and C. Theobalt},
booktitle = {2019 International Conference on 3D Vision (3DV)},
title = {Convex Optimisation for Inverse Kinematics},
year = {2019},
pages = {318-327},
award = {Oral Presentation},
}
@inproceedings{wang2017stereoDSO,
title = {Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras},
author = {R. Wang and M. Schwörer and D. Cremers},
booktitle = {International Conference on Computer Vision (ICCV)},
year = {2017},
month = {October},
address = {Venice, Italy},
keywords = {dso, visual odometry, stereo, 3D reconstruction, stereodso},
}
@inproceedings{moellenhoff-iccv-2017,
title = {Sublabel-Accurate Discretization of Nonconvex Free-Discontinuity Problems},
author = {T. Möllenhoff and D. Cremers},
booktitle = {International Conference on Computer Vision (ICCV)},
year = {2017},
month = {October},
address = {Venice, Italy},
keywords = {convex-relaxation},
}
@inproceedings{ulrich2017selecting,
author = {M Ullrich and H Ali and M Durner and ZC Marton and R Triebel},
title = {Selecting CNN Features for Online Learning of 3D Objects},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
year = {2017},
}
@inproceedings{nissler2017method,
author = {C Nissler and ZC Marton and H Kisner and U Thomas and R Triebel},
title = {A Method for Hand-Eye and Camera-to-Camera Calibration for Limited Fields of View},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
year = {2017},
}
@inproceedings{wang2017how,
author = {TS Wang and ZC Marton and M Brucker and R Triebel},
title = {How Robots Learn to Classify New Objects Trained from Small Data Sets},
booktitle = {Conference on Robot Learning (CoRL)},
year = {2017},
}
@inproceedings{durner2017experience,
author = {M Durner and S Kriegel and S Riedel and M Brucker and ZC Marton and F Balint-Benczedi and R Triebel},
title = {Experience-based Optimization of Robotic Perception},
booktitle = {International Conference on Advanced Robotics (ICAR)},
year = {2017},
}
@article{Queau2017_integration1,
author = {Y. Quéau and J.-D. Durou and J.-F. Aujol},
title = {{Normal Integration: A Survey}},
year = {2018},
volume = {60},
number = {4},
pages = {576--593},
titleurl = {JMIV_integration_1.pdf},
journal = {Journal of Mathematical Imaging and Vision},
doi = {10.1007/s10851-017-0773-x},
}
@article{Queau2017_integration2,
author = {Y. Quéau and J.-D. Durou and J.-F. Aujol},
title = {{Variational Methods for Normal Integration}},
year = {2018},
volume = {60},
number = {4},
pages = {609--632},
titleurl = {JMIV_integration_2.pdf},
journal = {Journal of Mathematical Imaging and Vision},
doi = {10.1007/s10851-017-0777-6},
}
@article{RodolaMC17,
author = {E Rodolà and M Möller and D Cremers},
title = {Regularized Pointwise Map Recovery from Functional Correspondence},
journal = {Comput. Graph. Forum},
volume = {36},
number = {8},
pages = {700--711},
year = {2017},
keywords = {Geometry Processing},
}
@article{BringmannCKM18,
author = {B Bringmann and D Cremers and F Krahmer},
title = {The homotopy method revisited: Computing solution paths of L1-regularized
problems},
journal = {Math. Comput.},
volume = {87},
number = {313},
pages = {2343--2364},
year = {2018},
}
@article{Melou2017_reflectance,
author = {J. Mélou and Y. Quéau and J.-D. Durou and F. Castan and D. Cremers},
title = {{Variational Reflectance Estimation from Multi-view Images}},
doi = {10.1007/s10851-018-0809-x},
volume = {60},
number = {9},
pages = {1527--1546},
year = {2018},
titleurl = {JMIV_reflectance.pdf},
journal = {Journal of Mathematical Imaging and Vision},
}
@inproceedings{Queau2017_SfS,
author = {Y. Quéau and J. Mélou and F. Castan and D. Cremers and J.-D. Durou},
title = {{A Variational Approach to Shape-from-shading Under Natural Illumination}},
year = {2017},
booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)},
titleurl = {emmcvpr_sfs.pdf},
doi = {10.1007/978-3-319-78199-0_23},
}
@article{bergmann_RA-L_2018,
author = {P. Bergmann and R. Wang and D. Cremers},
title = {Online Photometric Calibration of Auto Exposure Video for Realtime Visual Odometry and SLAM},
journal = {IEEE Robotics and Automation Letters (RA-L)},
volume = {3},
issue = {2},
pages = {627--634},
year = {2018},
month = {April},
titleurl = {bergmann17calibration.pdf},
keywords = {visual odometry, calibration, SLAM, direct, dso, photometric-calibration},
award = {ICRA'18 Best Vision Paper Award - Finalist},
}
@inproceedings{laude-et-al-transductive,
author = {E. Laude and J.-H. Lange and J. Schüpfer and C. Domokos and L. Leal-Taixé and F. R. Schmidt and B. Andres and D. Cremers},
title = {Discrete-Continuous {ADMM} for Transductive Inference in Higher-Order {MRF}s},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2018},
titleurl = {laude-2018-discrete-continuous.pdf},
}
@inproceedings{DomokosSC18,
author = {C Domokos and FR. Schmidt and D Cremers},
editor = {Vittorio Ferrari and
Martial Hebert and
Cristian Sminchisescu and
Yair Weiss},
title = {{MRF} Optimization with Separable Convex Prior on Partially Ordered
Labels},
booktitle = {Computer Vision - {ECCV} 2018 - 15th European Conference, Munich,
Germany, September 8-14, 2018, Proceedings, Part {VIII}},
series = {Lecture Notes in Computer Science},
volume = {11212},
pages = {341--356},
publisher = {Springer},
year = {2018},
}
@inproceedings{laude-et-al-nonconvex-moreau-17,
author = {E. Laude and T. Wu and D. Cremers},
title = {A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization},
booktitle = {International Conference on Artificial
Intelligence and Statistics (AISTATS)},
year = {2018},
titleurl = {laude-2018-proximal.pdf},
}
@inproceedings{moellenhoff-et-al-combinatorial-18,
author = {T. Möllenhoff and Z. Ye and T. Wu and D. Cremers},
title = {Combinatorial Preconditioners for Proximal Algorithms on Graphs},
booktitle = {International Conference on Artificial
Intelligence and Statistics (AISTATS)},
year = {2018},
titleurl = {moellenhoff-et-al-combinatorial-18.pdf},
}
@inproceedings{Bernard-et-al-2017,
author = {F. Bernard and F. R. Schmidt and J. Thunberg and D. Cremers},
title = {A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2017},
keywords = {Geometry Processing},
}
@inproceedings{SconaJPFC18,
author = {R Scona and M Jaimez and YR. Petillot and M Fallon and D Cremers},
title = {StaticFusion: Background Reconstruction for Dense {RGB-D} {SLAM} in
Dynamic Environments},
booktitle = {2018 {IEEE} International Conference on Robotics and Automation, {ICRA}
2018, Brisbane, Australia, May 21-25, 2018},
pages = {1--9},
publisher = {{IEEE}},
year = {2018},
keywords = {vslam},
}
@article{Kukacka-et-al-2017,
author = {J. Kukačka and V. Golkov and D. Cremers},
title = {Regularization for Deep Learning: A Taxonomy},
year = {2017},
journal = {arXiv preprint arXiv:1710.10686},
eprint = {1710.10686},
eprinttype = {arXiv},
keywords = {deep learning, neural networks, regularization, data augmentation, network architecture, loss function, dropout, residual learning, optimization},
}
@inproceedings{Golkov-et-al-ismrm2018-novelty,
author = {V. Golkov and A. Vasilev and F. Pasa and I. Lipp and W. Boubaker and E. Sgarlata and F. Pfeiffer and V. Tomassini and D. K. Jones and D. Cremers},
title = {{q-Space} Novelty Detection in Short Diffusion {MRI} Scans of Multiple Sclerosis},
year = {2018},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
keywords = {novelty detection, anomaly detection, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, segmentation},
}
@inproceedings{Vasilev-et-al-2018,
author = {A. Vasilev and V. Golkov and M. Meissner and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers},
title = {{q}-{S}pace Novelty Detection with Variational Autoencoders},
year = {2019},
booktitle = {{MICCAI} 2019 International Workshop on Computational Diffusion {MRI}},
eprint = {1806.02997},
eprinttype = {arXiv},
keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI},
award = {Oral Presentation},
}
@inproceedings{Swazinna-et-al-ismrm2019,
author = {P. Swazinna and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers},
title = {Negative-Unlabeled Learning for Diffusion {MRI}},
year = {2019},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
keywords = {deep learning, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, weakly-supervised learning, positive-unlabeled learning, semi-supervised learning, localization},
}
@inproceedings{Golkov-et-al-ismrm2018-global,
author = {V. Golkov and P. Swazinna and M. M. Schmitt and Q. A. Khan and C. M. W. Tax and M. Serahlazau and F. Pasa and F. Pfeiffer and G. J. Biessels and A. Leemans and D. Cremers},
title = {{q-Space} Deep Learning for {A}lzheimer's Disease Diagnosis: Global Prediction and Weakly-Supervised Localization},
year = {2018},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
keywords = {deep learning, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, weakly-supervised learning, localization},
}
@article{Do-et-al-2018-pre-miRNA,
author = {B. T. Do and V. Golkov and G. E. Gürel and D. Cremers},
title = {Precursor {microRNA} Identification Using Deep Convolutional Neural Networks},
year = {2018},
% howpublished = {Preprint},
journal = {bioRxiv preprint 414656},
keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, biology, gene regulation},
}
@article{Golkov-et-al-2020-ROC,
author = {V. Golkov and A. Becker and D. T. Plop and D. Čuturilo and N. Davoudi and J. Mendenhall and R. Moretti and J. Meiler and D. Cremers},
title = {Deep Learning for Virtual Screening: Five Reasons to Use {ROC} Cost Functions},
year = {2020},
journal = {arXiv preprint arXiv:2007.07029},
eprint = {2007.07029},
eprinttype = {arXiv},
keywords = {deep learning, drug discovery, virtual screening, neural networks, machine learning, QSAR, classification, receiver operating characteristic, biology, chemistry},
}
@article{Aljalbout-et-al-2018,
author = {E. Aljalbout and V. Golkov and Y. Siddiqui and M. Strobel and D. Cremers},
title = {Clustering with Deep Learning: Taxonomy and New Methods},
year = {2018},
journal = {arXiv preprint arXiv:1801.07648},
eprint = {1801.07648},
eprinttype = {arXiv},
keywords = {deep learning, clustering, cluster analysis, neural networks},
}
@inproceedings{haeusser18associative,
author = {P. Haeusser and J. Plapp and V. Golkov and E. Aljalbout and D. Cremers},
title = {Associative Deep Clustering - Training a Classification Network with no Labels},
booktitle = {Proc. of the German Conference on Pattern Recognition (GCPR)},
year = {2018},
month = {October},
titleurl = {haeusser18associative.pdf},
keywords = {Clustering, Embeddings, deep learning, associative_learning},
}
@article{mayer18synthetic,
author = {N Mayer and E Ilg and P Fischer and C Hazirbas and D Cremers and A Dosovitskiy and T Brox},
title = {What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?},
booktitle = {International Journal of Computer Vision},
volume = {41},
number = {8},
pages = {1797--1812},
year = {2018},
month = {September},
eprint = {arXiv:1801.06397},
keywords = {deep learning, optical-flow},
}
@inproceedings{Frerix-et-al-18,
author = {T. Frerix and T. Möllenhoff and M. Moeller and D. Cremers},
title = {Proximal Backpropagation},
booktitle = {International Conference on Learning Representations (ICLR)},
primaryclass = {cs.LG},
year = {2018},
}
@inproceedings{kuznietsov2017_semsupdepth,
title = {Semi-Supervised Deep Learning for Monocular Depth Map Prediction},
author = {Y. Kuznietsov and J. Stueckler and B. Leibe},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2017},
}
@inproceedings{Kasyanov2017_VISLAM,
title = {Keyframe-Based Visual-Inertial Online {SLAM} with Relocalization},
author = {A. Kasyanov and F. Engelmann and J. Stueckler and B. Leibe},
booktitle = {{IEEE/RSJ} Int. Conference on Intelligent Robots and Systems,
{IROS}},
year = {2017},
keywords = {vo, vio, vslam},
}
@inproceedings{EngelmannWACV17_samp,
author = {F. Engelmann and J. Stueckler and B. Leibe},
title = {{SAMP:} Shape and Motion Priors for {4D} Vehicle Reconstruction},
booktitle = {{IEEE} Winter Conference on Applications of Computer Vision,
{WACV}},
year = {2017},
}
@inproceedings{klostermann2016_smps,
title = {Unsupervised Learning of Shape-Motion Patterns for Objects in Urban Street Scenes},
author = {D. Klostermann and A. Osep and J. Stueckler and B. Leibe},
booktitle = {British Machine Vision Conference (BMVC)},
year = {2016},
}
@inproceedings{kochanov2016_sceneflowprop,
title = {Scene Flow Propagation for Semantic Mapping and Object Discovery in Dynamic Street Scenes},
author = {D. Kochanov and A. Osep and J. Stueckler and B. Leibe},
booktitle = {{IEEE/RSJ} Int. Conference on Intelligent Robots and Systems,
{IROS}},
year = {2016},
}
@inproceedings{EngelmannGCPR16_shapepriors,
title = {Joint Object Pose Estimation and Shape Reconstruction in Urban Street Scenes Using {3D} Shape Priors},
author = {F. Engelmann and J. Stueckler and B. Leibe},
booktitle = {Proc. of the German Conference on Pattern Recognition (GCPR)},
year = {2016},
}
@inproceedings{40b4844e97900e861f4ae90c9306a832,
author = {M. Brucker and M. Durner and R. Ambrus and Z.-C. Marton and A. Wendt and P. Jensfelt and K.O. Arras and R. Triebel},
title = {Semantic Labeling of Indoor Environments from {3D RGB} Maps},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2018},
}
@inproceedings{stumberg18vidso,
author = {L. von Stumberg and V. Usenko and D. Cremers},
title = {Direct Sparse Visual-Inertial Odometry using Dynamic Marginalization},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2018},
month = {May},
keywords = {dso, vi-dso, vslam},
}
@inproceedings{schubert2018vidataset,
author = {D. Schubert and T. Goll and N. Demmel and V. Usenko and J. Stueckler and D. Cremers},
title = {The TUM VI Benchmark for Evaluating Visual-Inertial Odometry},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
arxiv = {arXiv:1804.06120},
year = {2018},
month = {October},
keywords = {tumvi, vo, vio ,vslam, dataset},
}
@inproceedings{schubert2019vidsors,
author = {D. Schubert and N. Demmel and L. von Stumberg and V. Usenko and D. Cremers},
title = {Rolling-Shutter Modelling for Visual-Inertial Odometry},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
year = {2019},
month = {November},
arxiv = {arXiv: 1911.01015},
keywords = {vidsors, vo, vio ,vslam},
}
@inproceedings{gao2018ldso,
author = {X. Gao and R. Wang and N. Demmel and D. Cremers},
title = {LDSO: Direct Sparse Odometry with Loop Closure},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
arxiv = {arXiv:1808.01111},
year = {2018},
month = {October},
keywords = {dso, ldso, vslam},
}
@inproceedings{mosenlechner2010becoming,
title = {Becoming action-aware through reasoning about logged plan execution traces},
author = {L Mösenlechner and N Demmel and M Beetz},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
pages = {2231--2236},
year = {2010},
organization = {IEEE},
}
@article{matsuki2018_omnidso,
title = {Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras},
author = {H. Matsuki and L. von Stumberg and V. Usenko and J. Stueckler and D. Cremers},
journal = {IEEE Robotics and Automation Letters & Int. Conference on Intelligent Robots and Systems (IROS)},
booktitle = {Robotics and Automation Letters},
publisher = {IEEE},
year = {2018},
keywords = {dso, vslam},
}
@inproceedings{eisenberger2019divfree,
author = {M. Eisenberger and Z. Lähner and D. Cremers},
title = {Divergence-Free Shape Correspondence by Deformation},
booktitle = {Computer Graphics Forum},
year = {2019},
volume = {38},
number = {5},
pages = {1-12},
month = {July},
keywords = { Geometry Processing },
}
@inproceedings{laehner2018deepwrinkles,
author = {Z. Lähner and D. Cremers and T. Tung},
title = {DeepWrinkles: Accurate and Realistic Clothing Modeling},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2018},
month = {September},
award = {Oral Presentation},
keywords = { Geometry Processing },
}
@inproceedings{yang2018dvso,
author = {N. Yang and R. Wang and J. Stueckler and D. Cremers},
title = {Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2018},
month = {September},
award = {Oral Presentation},
keywords = {dso, dvso, deep learning, monocular depth estimation, semi-supervised learning, slam, visual odometry, vslam},
}
@inproceedings{schubert2018drso,
author = {D. Schubert and N. Demmel and V. Usenko and J. Stueckler and D. Cremers},
title = {Direct Sparse Odometry With Rolling Shutter},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2018},
month = {September},
award = {Oral Presentation},
keywords = {dso, vslam},
}
@inproceedings{usenko18double-sphere,
author = {V. Usenko and N. Demmel and D. Cremers},
title = {The Double Sphere Camera Model},
booktitle = {Proc. of the Int. Conference on 3D Vision (3DV)},
year = {2018},
month = {September},
eprint = {1807.08957},
eprinttype = {arXiv},
eprintclass = {cs.CV},
keywords = {double-sphere, vslam},
}
@article{lingni18wcnn,
author = {L. Ma and J. Stueckler and T. Wu and D. Cremers},
title = {Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform},
year = {2018},
month = {Aug},
booktitle = {arXiv:1808.01834},
arxiv = {arXiv:1808.01834},
}
@article{laude2021lifting,
title = {Lifting the Convex Conjugate in Lagrangian Relaxations: {A} Tractable
Approach for Continuous Markov Random Fields},
author = {H Bauermeister and E Laude and T Möllenhoff and M Möller and D Cremers},
journal = {{SIAM} J. Imaging Sci.},
volume = {15},
number = {3},
pages = {1253--1281},
year = {2022},
keywords = {Markov random fields, moment relaxation, sum of squares, polynomial optimization, generalized conjugacy, optimal transport},
}
@inproceedings{sundermeyer18implicit,
author = {M. Sundermeyer and Z. Marton and M. Durner and M. Brucker and R. Triebel},
title = {Implicit 3D Orientation Learning for 6D Object Detection from RGB Images},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2018},
month = {September},
award = {Best Paper Award},
}
@inproceedings{denninger18persistent,
author = {M. Denninger and R. Triebel},
title = {Persistent Anytime Learning of Objects from Unseen Classes },
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
address = {Madrid, Spain},
year = {2018},
month = {Oct.},
award = {Best Cognitive Robotics Paper Finalist},
}
@inproceedings{grixa18appearance,
author = {I. Grixa and P. Schulz and W. Stürzl and R. Triebel},
title = {Appearance-Based Along-Route Localization for Planetary Missions},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
address = {Madrid, Spain},
year = {2018},
month = {Oct.},
}
@inproceedings{chiotellis2018ilp,
author = {I. Chiotellis and F. Zimmermann and D. Cremers and R. Triebel},
title = {Incremental Semi-Supervised Learning from Streams for Object Classification},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
address = {Madrid, Spain},
year = {2018},
month = {Oct.},
}
@inproceedings{estellers2018,
author = {V. Estellers and F. Schmidt and D. Cremers},
title = {Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis},
booktitle = {Proc. of the Int. Conference on 3D Vision (3DV)},
year = {2018},
month = {September},
keywords = {Geometry Processing},
topic = {Shape Analysis},
award = {Received the Best Paper Award at 3DV 2018},
}
@inproceedings{brucker18pose,
author = {M. Brucker and M. Durner and Z.-C. Márton and F. Bálint-Benczédi and M. Sundermeyer and R. Triebel},
title = {{6DoF} Pose Estimation for Industrial Manipulation based on Synthetic Data},
booktitle = {International Symposium on Experimental Robotics (ISER) },
address = {Buenos Aires, Argentina},
year = {2018},
month = {Nov.},
}
@inproceedings{nissler18simultaneous,
author = {C. Nissler and M. Durner and Z.-C. Márton and R. Triebel},
title = {Simultaneous Calibration and Mapping},
booktitle = {International Symposium on Experimental Robotics (ISER) },
address = {Buenos Aires, Argentina},
year = {2018},
month = {Nov.},
}
@article{tjaden2019region,
title = {A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking},
author = {H Tjaden and U Schwanecke and E Schömer and D Cremers},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {41},
number = {8},
pages = {1797--1812},
year = {2019},
titleurl = {tjaden_et_al_pami18.pdf},
}
@inproceedings{wenzel18corl,
author = {P. Wenzel and Q. Khan and D. Cremers and L. Leal-Taixé},
booktitle = {Conference on Robot Learning ({CoRL})},
title = {Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using {GANs}},
year = {2018},
keywords = {deep learning},
}
@inproceedings{Frerix2020,
author = {T Frerix and M Nießner and D Cremers},
title = {Homogeneous Linear Inequality Constraints for Neural Network Activations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
year = {2020},
}
@inproceedings{Frerix2021,
title = {Variational Data Assimilation with a Learned Inverse Observation Operator},
author = {T Frerix and D Kochkov and J Smith and D Cremers and M Brenner and S Hoyer},
booktitle = {Proceedings of the 38th International Conference on Machine Learning (ICML)},
year = {2021},
}
@phdthesis{usenko_phd,
author = {V Usenko},
title = {Visual-Inertial Navigation for Autonomous Vehicles},
type = {Dissertation},
school = {Technische Universität München},
address = {München},
year = {2019},
}
@article{roy2019noninvasive,
title = {A Non-invasive {3D} Body Scanner and Software Tool towards Analysis of Scoliosis},
author = {S. Roy and A.T.D. Gruenwald and A. Alves-Pinto and R. Maier and D. Cremers and D. Pfeiffer and R. Lampe},
journal = {BioMed Research International (BMRI)},
year = {2019},
month = {May},
keywords = {rgb-d,reconstruction,3d-reconstruction,3d-scanning,medical,medical imaging},
}
@inproceedings{bylow2019combining,
title = {Combining Depth Fusion and Photometric Stereo for Fine-Detailed {3D} Models},
author = {E. Bylow and R. Maier and F. Kahl and C. Olsson},
booktitle = {Scandinavian Conference on Image Analysis (SCIA)},
year = {2019},
month = {June},
address = {Norrk{\"o}ping, Sweden},
keywords = {rgb-d,reconstruction,3d-reconstruction,photometric-stereo},
award = {Oral Presentation, received the SCIA 2019 Honourable Mention award},
}
@inproceedings{laude-wu-cremers-aistats-19,
author = {E. Laude and T. Wu and D. Cremers},
title = {Optimization of Inf-Convolution Regularized Nonconvex Composite Problems},
booktitle = {International Conference on Artificial
Intelligence and Statistics (AISTATS)},
year = {2019},
titleurl = {laude-wu-cremers-aistats-19.pdf},
}
@inproceedings{moellenh-cvpr-19,
author = {T. Möllenhoff and D. Cremers},
title = {Lifting Vectorial Variational Problems: A Natural Formulation based on
Geometric Measure Theory and Discrete Exterior Calculus},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2019},
titleurl = {moellenh-cvpr-19.pdf},
award = {Oral Presentation},
}
@article{usenko19nfr,
author = {V. Usenko and N. Demmel and D. Schubert and J. Stueckler and D. Cremers},
title = {Visual-Inertial Mapping with Non-Linear Factor Recovery},
journal = {IEEE Robotics and Automation Letters (RA-L) & Int. Conference on Intelligent Robotics and Automation (ICRA)},
publisher = {IEEE},
year = {2020},
volume = {5},
number = {2},
pages = {422-429},
keywords = {nfr, vo, vio, vslam},
doi = {10.1109/LRA.2019.2961227},
}
@article{Pasa-et-al-2019,
author = {F. Pasa and V. Golkov and F. Pfeiffer and D. Cremers and D. Pfeiffer},
title = {Efficient Deep Network Architectures for Fast Chest {X}-Ray Tuberculosis Screening and Visualization},
journal = {Scientific Reports},
year = {2019},
volume = {9},
number = {1},
pages = {6268},
issn = {2045-2322},
doi = {10.1038/s41598-019-42557-4},
url = {https://www.nature.com/articles/s41598-019-42557-4},
keywords = {medical imaging, deep learning},
}
@inproceedings{wang2020directshape,
author = {R. Wang and N. Yang and J. Stueckler and D. Cremers},
title = {DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation},
booktitle = {Proc. of the IEEE International Conference on Robotics and Automation (ICRA)},
year = {2020},
keywords = {stereo, 3D reconstruction, semantic SLAM, 3D object detection, scene understanding, direct shape},
}
@article{Schuchardt-et-al-2019,
author = {J. Schuchardt and V. Golkov and D. Cremers},
title = {Learning to Evolve},
year = {2019},
journal = {arXiv preprint arXiv:1905.03389},
eprint = {1905.03389},
eprinttype = {arXiv},
keywords = {evolutionary algorithms, evolutionary computation, genetic algorithms, deep learning, neural networks, reinforcement learning},
}
@inproceedings{flatgan-icml-19,
author = {T. Möllenhoff and D. Cremers},
title = {Flat Metric Minimization with Applications in Generative Modeling},
booktitle = {International Conference on Machine Learning (ICML)},
primaryclass = {cs.LG},
year = {2019},
award = {Full Oral Presentation},
month = {6},
}
@inproceedings{Frerix2019-givens,
title = {{Approximating Orthogonal Matrices with Effective Givens Factorization}},
author = {T. Frerix and J. Bruna},
booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
year = {2019},
}
@article{gn-net-2020,
author = {L. von Stumberg and P. Wenzel and Q. Khan and D. Cremers},
title = {{GN-Net}: The Gauss-Newton Loss for Multi-Weather Relocalization},
journal = {{IEEE} Robotics and Automation Letters ({RA-L})},
year = {2020},
volume = {5},
number = {2},
pages = {890-897},
keywords = {gn-net, vslam, deep learning},
}
@article{sommer20planes,
author = {C. Sommer and Y. Sun and L. J. Guibas and D. Cremers and T. Birdal},
title = {From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized
3D Point Clouds},
journal = {IEEE Robotics and Automation Letters (RA-L) & International Conference on Robotics and Automation (ICRA)},
year = {2020},
volume = {5},
number = {2},
pages = {1764-1771},
eprint = {2001.07360},
eprinttype = {arXiv},
eprintclass = {cs.CV},
doi = {10.1109/LRA.2020.2969936},
keywords = {Geometry Processing},
}
@inproceedings{eisenberger2019smoothshells,
author = {M. Eisenberger and Z. Lähner and D. Cremers},
title = {Smooth Shells: Multi-Scale Shape Registration with Functional Maps},
booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2020},
award = {Oral Presentation},
keywords = { Geometry Processing },
}
@inproceedings{eisenberger2020hamiltonian,
author = {M. Eisenberger and D. Cremers},
title = {Hamiltonian Dynamics for Real-World Shape Interpolation},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2020},
award = {Spotlight Presentation},
keywords = {Shape Analysis, Geometry Processing},
}
@inproceedings{eisenberger2020deepshells,
author = {M. Eisenberger and A. Toker and L. Leal-Taixé and D. Cremers},
title = {Deep Shells: Unsupervised Shape Correspondence with Optimal Transport},
booktitle = {34th Conference on Neural Information Processing Systems (NeurIPS)},
year = {2020},
}
@inproceedings{eisenberger2021neuromorph,
author = {M. Eisenberger and D. Novotny and G. Kerchenbaum and P. Labatut and N. Neverova and D. Cremers and A. Vedaldi},
title = {NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go},
booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2021},
}
@inproceedings{eisenberger2022unified,
author = {M. Eisenberger and A. Toker and L. Leal-Taixé and F. Bernard and D. Cremers},
title = {A Unified Framework for Implicit Sinkhorn Differentiation},
booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2022},
}
@inproceedings{eisenberger2023gmsm,
author = {M. Eisenberger and A. Toker and L. Leal-Taixé and D. Cremers},
title = {G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors},
booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2023},
}
@inproceedings{mukkamala2021bregman,
address = {Cham},
author = {M. C. Mukkamala and F. Westerkamp and E. Laude and D. Cremers and P. Ochs},
booktitle = {Scale Space and Variational Methods in Computer Vision},
date-modified = {2021-05-18 17:23:47 +0200},
editor = {Elmoataz, Abderrahim and Fadili, Jalal and Qu{\'e}au, Yvain and Rabin, Julien and Simon, Lo{\"\i}c},
isbn = {978-3-030-75549-2},
pages = {204--215},
publisher = {Springer International Publishing},
title = {Bregman Proximal Gradient Algorithms for Deep Matrix Factorization},
year = {2021},
eprint = {1910.03638},
eprinttype = {arXiv},
eprintclass = {math.OC},
}
@inproceedings{Weiss-et-al-cvpr2020,
author = {S. Weiss and R. Maier and D. Cremers and R. Westermann and N. Thuerey},
title = {Correspondence-Free Material Reconstruction using Sparse Surface Constraints},
booktitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2020},
titleurl = {Weiss_et_al_cvpr2020.pdf},
keywords = {Geometry Processing},
}
@inproceedings{control-across-weathers-19,
author = {Q. Khan and P. Wenzel and D. Cremers and L. Leal-Taixé},
title = {Towards Generalizing Sensorimotor Control Across Weather Conditions},
booktitle = {Proceedings of the {IEEE/RSJ} International Conference on Intelligent Robots and Systems ({IROS})},
year = {2019},
keywords = {deep learning},
}
@inproceedings{puang19visual,
title = {{Visual Repetition Sampling for Robot Manipulation Planning}},
author = {E.Y. Puang and P. Lehner and Z.C. Marton and M. Durner and R. Triebel and A. Albu-Schäffer},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2019},
}
@inproceedings{moeller-et-al-19,
author = {M. Moeller and T. Möllenhoff and D. Cremers},
title = {Controlling Neural Networks via Energy Dissipation},
booktitle = {International Conference on Computer Vision (ICCV)},
year = {2019},
month = {10},
address = {Seoul, South Korea},
eprint = {1904.03081},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}
@inproceedings{jung2019corl,
author = {E. Jung and N. Yang and D. Cremers},
booktitle = {Conference on Robot Learning (CoRL)},
title = {{Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light}},
award = {Full Oral Presentation},
year = {2019},
}
@inproceedings{weiss2019sparse,
title = {Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction},
author = {S. Weiss and R. Maier and R. Westermann and D. Cremers and N. Thuerey},
journal = {preprint},
booktitle = {arXiv preprint arXiv:1910.01812},
year = {2019},
eprint = {1910.01812},
eprinttype = {arXiv},
eprintclass = {cs.CV},
keywords = {Geometry Processing},
}
@article{Della-Libera-et-al-2019,
author = {L. Della Libera and V. Golkov and Y. Zhu and A. Mielke and D. Cremers},
title = {Deep Learning for {2D and 3D} Rotatable Data: An Overview of Methods},
year = {2019},
journal = {arXiv preprint arXiv:1910.14594},
eprint = {1910.14594},
eprinttype = {arXiv},
keywords = {deep learning, neural networks, 2D, 3D, rotations, invariance, equivariance},
}
@inbook{vi-dso-chapter,
author = {L. von Stumberg and V. Usenko and D. Cremers},
title = {A Review and Quantitative Evaluation of Direct Visual–Inertial Odometry},
editor = {M. Yang and B. Rosenhahn and V. Murino},
chapter = {Multimodal Scene Understanding},
publisher = {Academic Press},
pages = {159--198},
year = {2019},
doi = {10.1016/B978-0-12-817358-9.00013-5},
isbn = {978-0-12-817358-9},
keywords = {vo, vio, vslam},
}
@inbook{usenko2020_tumflyers,
author = {V. Usenko and L. von Stumberg and J. Stückler and D. Cremers},
editor = {F. Caccavale and C. Ott and B. Winkler and Z. Taylor},
title = {TUM Flyers: Vision---Based MAV Navigation for Systematic Inspection of Structures},
chapter = {Bringing Innovative Robotic Technologies from Research Labs to Industrial End-users},
year = {2020},
publisher = {Springer International Publishing},
address = {Cham},
pages = {189--209},
isbn = {978-3-030-34507-5},
doi = {10.1007/978-3-030-34507-5_8},
keywords = {vo, vio, vslam},
}
@inproceedings{sommer19spline,
author = {C. Sommer and V. Usenko and D. Schubert and N. Demmel and D. Cremers},
title = {Efficient Derivative Computation for Cumulative B-Splines on Lie Groups},
eprint = {1911.08860},
eprinttype = {arXiv},
eprintclass = {cs.CV},
doi = {10.1109/CVPR42600.2020.01116},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2020},
award = {Oral Presentation},
keywords = {lie-spline, vslam, SLAM},
}
@inproceedings{brechet2019,
title = {Informative GANs via Structured Regularization of Optimal Transport},
author = {P. Bréchet and T. Wu and T. Möllenhoff and D. Cremers},
booktitle = {{NeurIPS Workshop on Optimal Transport and Machine Learning}},
year = {2019},
eprint = {1912.02160},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}
@inproceedings{yang20d3vo,
author = {N. Yang and L. von Stumberg and R. Wang and D. Cremers},
title = {D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2020},
eprint = {2003.01060},
eprinttype = {arXiv},
eprintclass = {cs.CV},
award = {Oral Presentation},
keywords = {dso,dvso, deep learning, monocular depth estimation, semi-supervised learning, slam, visual odometry,d3vo, vslam},
}
@inproceedings{fontan20information,
author = {A. Fontan-Villacampa and J. Civera and R. Triebel},
title = {Information-Driven Direct RGB-D Odometry},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2020},
award = {Oral Presentation},
}
@inproceedings{sundermeyer20multi,
author = {M. Sundermeyer and M. Durner and E. Y. Puang and Z.-C. Marton and N. Vaskevicius and K. O. Arras and R. Triebel},
title = {Multi-path Learning for Object Pose Estimation Across Domains},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2020},
}
@inproceedings{wenger20nonparametric,
author = {J. Wenger and H. Kjellström and R. Triebel},
title = {Non-Parametric Calibration for Classification},
booktitle = {International Conference on Artificial
Intelligence and Statistics (AISTATS)},
year = {2020},
}
@inproceedings{lee20visual,
author = {J. Lee and R. Balachandran and Y. Sarkisov and M. D Stefano and A. Coelho and K. Shinde and M. J. Kim and R. Triebel and K. Kondak},
title = {Visual-Inertial Telepresence for Aerial Manipulation},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2020},
}
@inproceedings{steidle19visual,
author = {F. Steidle and W. Stürzl and R. Triebel},
title = {Visual-inertial sensor fusion with a bio-inspired polarization compass for navigation of MAVs},
booktitle = { 11th International Micro Air Vehicle Competition and Conference (IMAV)},
year = {2019},
keywords = {vslam},
}
@inproceedings{feng19introspective,
author = {J. Feng and M. Durner and Z.-C. Marton and F. Balint-Benczedi and R. Triebel},
title = {Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks},
booktitle = {International Symposium on Robotics Research (ISRR)},
year = {2019},
}
@article{giubilato20relocalization,
author = {R. Giubilato and M. Vayugundla and M. Schuster and W. Stürzl and A. Wedler and R. Triebel and S. Debei},
title = {Relocalization With Submaps: Multi-Session Mapping for Planetary Rovers Equipped With Stereo Cameras},
journal = {IEEE Robotics and Automation Letters},
volume = {5},
number = {2},
pages = { 580--587},
year = {2020},
}
@article{sundermeyer19augmented,
author = {M. Sundermeyer and Z. Marton and M. Durner and R. Triebel},
title = {Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection},
journal = {International Journal of Computer Vision},
year = {2019},
}
@article{lutz20ardea,
author = {P. Lutz and M. G. Müller and M. Maier and S. Stoneman and T. Tomi\´c and I. von Bargen and M. J. Schuster and F. Steidle and A. Wedler and W. Stürzl and R. Triebel},
title = {ARDEA—An MAV with skills for future planetary missions},
journal = {Journal of Field Robotics (JFR)},
year = {2020},
}
@inproceedings{ye2020optimization,
author = {Z. Ye and T. Möllenhoff and T. Wu and D. Cremers},
title = {Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning},
booktitle = {International Conference on Artificial
Intelligence and Statistics (AISTATS)},
year = {2020},
titleurl = {ye-et-al-combinatorial-20.pdf},
}
@inproceedings{ye2021gcpr,
author = {Z. Ye and B. Haefner and Y. Quéau and T. Möllenhoff and D. Cremers},
title = {Sublabel-Accurate Multilabeling Meets Product Label Spaces},
booktitle = {DAGM German Conference on Pattern Recognition (GCPR)},
year = {2021},
doi = {10.1007/978-3-030-92659-5_1},
%eprint = {},
%eprinttype = {arXiv},
%eprintclass = {cs.CV},
award = {Oral Presentation},
%titleurl = {},
keywords = {},
}
@article{ye2022ijcv,
author = {Z. Ye and B. Haefner and Y. Quéau and T. Möllenhoff and D. Cremers},
title = {A Cutting-Plane Method for Sublabel-Accurate Relaxation of Problems with Product Label Spaces},
journal = {International Journal of Computer Vision (IJCV)},
year = {2022},
doi = {10.1007/s11263-022-01704-7},
titleurl = {ye2022ijcv.pdf},
keywords = {},
}
@phdthesis{maier2020dissertation,
author = {R. Maier},
title = {High-Quality {3D} Reconstruction from Low-Cost {RGB-D} Sensors},
type = {Dissertation},
school = {Technische Universit\"at M\"unchen},
address = {M\"unchen, Germany},
year = {2020},
}
@inbook{Moeller2018,
author = {M Moeller and D Cremers},
editor = {Bertalm{\'i}o, Marcelo},
title = {Image Denoising --- Old and New},
booktitle = {Denoising of Photographic Images and Video: Fundamentals, Open Challenges and New Trends},
year = {2018},
publisher = {Springer International Publishing},
address = {Cham},
pages = {63--91},
titleurl = {moeller_cremers2020_denoising_old_and_new.pdf},
}
@inproceedings{lee2020estimating,
author = {J Lee and M Humt and J Feng and R Triebel},
title = {Estimating Model Uncertainty of Neural Networks in Sparse Information Form},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2020},
}
@inproceedings{liu2020effective,
title = {Effective Version Space Reduction for Convolutional Neural Networks},
author = {J Liu and I Chiotellis and R Triebel and D Cremers},
journal = {arXiv preprint arXiv:2006.12456},
year = {2020},
booktitle = {European Conference on Machine Learning and Data Mining (ECML-PKDD)},
keywords = {deep learning, active learning, convolutional neural networks},
}
@inproceedings{denninger20scene,
title = {{3D} Scene Reconstruction from a Single Viewport},
author = {M Denninger and R Triebel},
year = {2020},
booktitle = {European Conference on Computer Vision (ECCV)},
}
@inproceedings{du2020dh3d,
author = {J. Du and R. Wang and D. Cremers},
title = {DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2020},
award = {Spotlight Presentation},
keywords = {SLAM, localization, re-localization, 3D learning, dh3d, vslam},
}
@inproceedings{sewtz20robust,
title = {Robust {MUSIC}-Based Sound Source Localization in Reverberant and Echoic Environments},
author = {M Sewtz and T Bodenmüller and R Triebel},
year = {2020},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
}
@inproceedings{legentil20gaussian,
title = {Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments},
author = {CL Gentil and M Vayugundla and R Giubilato and W Stürzl and TA. Vidal-Calleja and R Triebel},
year = {2020},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
}
@inproceedings{sommer20primitect,
author = {C. Sommer and Y. Sun and E. Bylow and D. Cremers},
title = {PrimiTect: Fast Continuous Hough Voting for Primitive Detection},
booktitle = {International Conference on Robotics and Automation (ICRA)},
eprint = {2005.07457},
eprinttype = {arXiv},
eprintclass = {cs.CV},
doi = {10.1109/ICRA40945.2020.9196988},
year = {2020},
keywords = {Geometry Processing},
}
@inproceedings{koestler2020learning,
author = {L. Koestler and N. Yang and R. Wang and D. Cremers},
title = {Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels},
booktitle = {Proceedings of the German Conference on Pattern Recognition (GCPR)},
year = {2020},
}
@inproceedings{wenzel2020fourseasons,
title = {{4Seasons}: A Cross-Season Dataset for Multi-Weather {SLAM} in Autonomous Driving},
author = {P. Wenzel and R. Wang and N. Yang and Q. Cheng and Q. Khan and L. von Stumberg and N. Zeller and D. Cremers},
booktitle = {Proceedings of the German Conference on Pattern Recognition ({GCPR})},
year = {2020},
keywords = {vslam,4seasons, deep learning},
}
@inproceedings{holzschuh20simanneal,
author = {B Holzschuh and Z Lähner and D Cremers},
title = {Simulated Annealing for 3D Shape Correspondence},
booktitle = {International Conference on 3D Vision (3DV)},
year = {2020},
award = {Oral Presentation},
keywords = {Shape Analysis, Shape Matching, Geometry Processing},
}
@inproceedings{aygun20heatkernel,
author = {M Aygün and Z Lähner and D Cremers},
title = {Unsupervised Dense Shape Correspondence using Heat Kernels},
booktitle = {International Conference on 3D Vision (3DV)},
year = {2020},
keywords = {Shape Analysis, Shape Matching, Geometry Processing},
}
@article{Naeyaert2020,
author = {M. Naeyaert and J. Aelterman and J. Van Audekerke and V. Golkov and D. Cremers and A. Pižurica and J. Sijbers and M. Verhoye},
title = {Accelerating in vivo fast spin echo high angular resolution diffusion imaging with an isotropic resolution in mice through compressed sensing},
journal = {Magnetic Resonance in Medicine},
year = {2020},
volume = {85},
number = {3},
pages = {1397-1413},
keywords = {compressed sensing, diffusion, fast spin echo, HARDI, turbo spin echo, medical imaging, diffusion MRI},
doi = {10.1002/mrm.28520},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.28520},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.28520},
}
@inproceedings{boerdijk2020self,
author = {W Boerdijk and M Sundermeyer and M Durner and R Triebel},
title = {Self-Supervised Object-in-Gripper Segmentation from Robotic Motions},
booktitle = {Conference on Robot Learning (CoRL)},
year = {2020},
}
@inproceedings{schiel2020incremental,
author = {F Schiel and A Hagengruber and J Vogel and R Triebel},
title = {Incremental learning of EMG-based control commands using Gaussian Processes},
booktitle = {Conference on Robot Learning (CoRL)},
year = {2020},
}
@inproceedings{stoiber2020sparse,
author = {M Stoiber and M Pfanne and K Strobl and R Triebel and A Albu-Schaeffer},
title = {A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking},
booktitle = {Asian Conference on Computer Vision},
year = {2020},
award = {Best Paper Award},
}
@inproceedings{meyer2020robust,
author = {L Meyer and K Strobl and R Triebel},
title = {Robust Vision-Based Pose Correction for a Robotic Manipulator using Active Markers},
booktitle = {17th International Symposium on Experimental Robotics (ISER)},
year = {2020},
}
@inproceedings{demmel2020distributed,
author = {N Demmel and M Gao and E Laude and T Wu and D Cremers},
title = {Distributed Photometric Bundle Adjustment},
booktitle = {International Conference on 3D Vision (3DV)},
year = {2020},
award = {Oral Presentation},
keywords = {photometric-bundle-adjustment, slam, structure-from-motion, direct-method, distributed-optimization, mapping, splitting-method, penalty-method, loop-closure, odometry, consensus-optimization, dpba, vslam},
}
@article{fabbro2020,
title = {Speech Synthesis and Control Using Differentiable {DSP}},
author = {G Fabbro and V Golkov and T Kemp and D Cremers},
year = {2020},
journal = {arXiv preprint arXiv:2010.15084},
eprint = {2010.15084},
eprinttype = {arXiv},
primaryclass = {eess.AS},
keywords = {speech synthesis, neural vocoder, text-to-speech, digital signal processing, neural networks, deep learning},
}
@inproceedings{lm-reloc-2020,
author = {L. von Stumberg and P. Wenzel and N. Yang and D. Cremers},
title = {LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization},
booktitle = {International Conference on 3D Vision (3DV)},
year = {2020},
keywords = {lm-reloc, slam, structure-from-motion, direct method, mapping, vslam, deep learning},
}
@inproceedings{wimbauer2020monorec,
title = {MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera},
author = {F. Wimbauer and N. Yang and L. von Stumberg and N. Zeller and D Cremers},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2021},
eprint = {2011.11814},
eprinttype = {arXiv},
eprintclass = {cs.CV},
keywords = {monorec, dvso, d3vo, mvs, deep learning, SLAM, vslam, reconstruction},
}
@inproceedings{yenamandra2020i3dmm,
author = {T Yenamandra and A Tewari and F Bernard and HP Seidel and M Elgharib and D Cremers and C Theobalt},
title = {i3DMM: Deep Implicit 3D Morphable Model of Human Heads},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2021},
keywords = {Geometry Processing, implicit representations, correspondences, face model},
award = {Oral Presentation},
}
@article{chiotellis2020noge,
title = {Neural Online Graph Exploration},
author = {I Chiotellis and D Cremers},
year = {2020},
journal = {arXiv preprint arXiv:2012.03345},
eprint = {2012.03345},
archiveprefix = {arXiv},
primaryclass = {cs.LG},
keywords = {deep learning, exploration, graph neural networks, learning on graphs, artificial intelligence},
}
@inproceedings{gao2021multi,
title = {Isometric Multi-Shape Matching},
author = {M Gao and Z Lähner and J Thunberg and D Cremers and F Bernard},
year = {2021},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {Shape Analysis, Geometry Processing, Shape Correspondence, Multi Shape Matching},
award = {Oral Presentation},
}
@article{mueller2021,
title = {Rotation-Equivariant Deep Learning for Diffusion {MRI}},
author = {P. Müller and V. Golkov and V. Tomassini and D. Cremers},
year = {2021},
journal = {arXiv preprint},
eprint = {2102.06942},
eprinttype = {arXiv},
primaryclass = {cs.CV},
keywords = {deep learning, diffusion MRI, equivariant deep learning, rotation-equivariance, magnetic resonance imaging, multiple sclerosis, image segmentation, medical imaging},
}
@inproceedings{Naeyaert2021,
author = {M Naeyaert and V Golkov and D Cremers and J Sijbers and M Verhoye},
title = {Faster and better {HARDI} using {FSE} and holistic reconstruction},
year = {2021},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
keywords = {compressed sensing, magnetic resonance imaging, diffusion MRI, fast spin echo, HARDI, turbo spin echo, primal-dual, space of positions and orientations, medical imaging, image reconstruction, inverse problems},
}
@inproceedings{Mueller2021-ISMRM,
title = {Rotation-Equivariant Deep Learning for Diffusion {MRI} (short version)},
author = {P. Müller and V. Golkov and V. Tomassini and D. Cremers},
year = {2021},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
keywords = {deep learning, diffusion MRI, equivariant deep learning, rotation-equivariance, magnetic resonance imaging, multiple sclerosis, image segmentation, medical imaging},
}
@inproceedings{selfcontrol-aistats-2021,
author = {Q. Khan and P. Wenzel and D. Cremers},
title = {Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry},
booktitle = {International Conference on Artificial Intelligence and Statistics ({AISTATS})},
year = {2021},
keywords = {deep learning},
}
@inproceedings{gladkova2021tight,
author = {M Gladkova and R Wang and N Zeller and D Cremers},
title = {Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry},
booktitle = {Proc. of the IEEE International Conference on Robotics and Automation (ICRA)},
year = {2021},
eprint = {2102.01191},
eprinttype = {arXiv},
eprintclass = {cs.CV},
keywords = {relocalization, localization, dso, ldso, tirdso, vslam},
}
@inproceedings{yan2021soe,
author = {Y. Xia and Y. Xu and S. Li and R. Wang and J. Du and D. Cremers and U. Stilla},
title = {SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2021},
award = {Oral Presentation},
}
@inproceedings{wenzel2021icra,
author = {P. Wenzel and T. Schön and L. Leal-Taixé and D. Cremers},
title = {Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning},
keywords = {deep learning},
booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})},
year = {2021},
}
@inproceedings{sewtz2021icara,
author = {M Sewtz and X Luo and J Landgraf and T Bodenmüller and R Triebel},
title = {Robust Approaches for Localization on Multi-camera Systems in Dynamic Environments},
booktitle = {Proceedings of the {IEEE} International Conference on Automation, Robotics and Applications({ICARA})},
year = {2021},
}
@inproceedings{winkelbauer2021icra,
author = {D Winkelbauer and M Denninger and R Triebel},
title = {Learning to Localize in New Environments from Synthetic Training Data},
booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})},
year = {2021},
}
@inproceedings{lehner2021icra,
author = {H Lehner and MJ. Schuster and T Bodenmüller and R Triebel},
title = {Exploration of Large Outdoor Environments Using Multi-Criteria Decision Making},
booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})},
year = {2021},
}
@inproceedings{boerdijk2021icra,
author = {W Boerdijk and M Sundermeyer and M Durner and R Triebel},
title = {"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences},
booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})},
year = {2021},
}
@inproceedings{sundermeyer2021icra,
author = {M Sundermeyer and A Mousavian and R Triebel and D Fox},
title = {{Contact-GraspNet}: Efficient {6-DoF} Grasp Generation in Cluttered Scenes},
booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})},
year = {2021},
}
@inproceedings{ballester2021icra,
author = {I Ballester and A Fontan and J Civera and KH. Strobl and R Triebel},
title = {DOT: Dynamic Object Tracking for Visual SLAM},
booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})},
year = {2021},
}
@inproceedings{demmel2021rootba,
author = {N Demmel and C Sommer and D Cremers and V Usenko},
title = {Square Root Bundle Adjustment for Large-Scale Reconstruction},
eprint = {2103.01843},
eprinttype = {arXiv},
eprintclass = {cs.CV},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2021},
keywords = {bundle adjustment, structure from motion, optimization, square root estimation, rootba, SLAM, vslam},
}
@inproceedings{tomani2021falcon,
author = {C Tomani and F Buettner},
title = {Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration},
booktitle = {InThirty-FifthAAAIConferenceonArtificialIntelligence(AAAI-2021)},
year = {2021},
eprint = {2012.10923},
eprinttype = {arXiv},
keywords = {deep learning},
}
@inproceedings{tomani2021posthoc,
author = {C Tomani and S Gruber and ME Erdem and D Cremers and F Buettner},
title = {Post-hoc Uncertainty Calibration for Domain Drift Scenarios},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2021},
award = {Oral Presentation},
eprint = {2012.10988},
eprinttype = {arXiv},
keywords = {deep learning},
}
@inproceedings{tomani2021pts,
title = {Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration},
author = {C Tomani and D Cremers and F Buettner},
year = {2022},
booktitle = {European Conference on Computer Vision (ECCV)},
eprint = {2102.12182},
eprinttype = {arXiv},
keywords = {deep learning},
}
@article{tomani2022challenger,
title = {Challenger: Training with Attribution Maps},
author = {C Tomani and D Cremers},
year = {2022},
journal = {arXiv preprint},
eprint = {2205.15094},
eprinttype = {arXiv},
primaryclass = {cs.LG},
keywords = {deep learning},
}
@inproceedings{tomani2023dac,
title = {Beyond In-Domain Scenarios: Robust Density-Aware Calibration},
author = {C Tomani and F Waseda and Y Shen and D Cremers},
booktitle = {Proceedings of the 40th International Conference on Machine Learning (ICML)},
year = {2023},
eprint = {2302.05118},
eprinttype = {arXiv},
keywords = {deep learning},
}
@inproceedings{tomani2023qualityaware,
title = {Quality-Aware Translation Models: Efficient Generation and Quality
Estimation in a Single Model},
author = {C Tomani and D Vilar and M Freitag and C Cherry and S Naskar and M Finkelstein and X Garcia and D Cremers},
booktitle = {Proceedings of the 62nd Annual Meeting of the Association for
Computational Linguistics (ACL)},
year = {2024},
eprint = {2310.06707},
eprinttype = {arXiv},
keywords = {deep learning},
}
@article{tomani2024abstentionllms,
title = {Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations},
author = {C Tomani and K Chaudhuri and I Evtimov and D Cremers and M Ibrahim},
year = {2024},
journal = {arXiv preprint},
eprint = {2404.10960},
eprinttype = {arXiv},
primaryclass = {cs.LG},
keywords = {deep learning},
}
@inproceedings{Publ2015-866,
author = {J. Duran and M. Moeller and C. Sbert and D. Cremers},
title = {A Novel Framework for Nonlocal Vectorial Total Variation Based on $\ell^{p,q,r}${\^a}ˆ’norms},
booktitle = {Proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition},
year = {2015},
pages = {141-154},
publisher = {Springer International Publishing},
}
@inproceedings{lyssenko21from,
author = {M Lyssenko and C Gladisch and C Heinzemann and M Woehrle and R Triebel},
title = {From Evaluation to Verification: Towards Task-Oriented Relevance Metrics for Pedestrian Detection in Safety-Critical Domains},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2021},
pages = {38-45},
}
@inproceedings{demmel2021rootvo,
author = {N Demmel and D Schubert and C Sommer and D Cremers and V Usenko},
title = {Square Root Marginalization for Sliding-Window Bundle Adjustment},
eprint = {2109.02182},
eprinttype = {arXiv},
eprintclass = {cs.CV},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2021},
keywords = {odometry, VO, VIO, visual-inertial, bundle adjustment, optimization, square root estimation, rootba, rootvo, SLAM, vslam},
}
@inproceedings{wudenka2021monocular,
author = {MW Wudenka and MG Müller and N Demmel and A Wedler and R Triebel and D Cremers and W Stuerzl},
title = {Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions},
eprint = {2109.05509},
eprinttype = {arXiv},
eprintclass = {cs.RO},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
keywords = {odometry, VO, SLAM, vslam},
year = {2021},
}
@inproceedings{klenk2021tumvie,
author = {S Klenk and J Chui and N Demmel and D Cremers},
title = {TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset},
eprint = {2108.07329},
eprinttype = {arXiv},
eprintclass = {cs.CV},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
year = {2021},
keywords = {tumvie, event camera, dynamic vision sensor, SLAM, vslam},
}
@article{chui2021etslo,
title = {Event-Based Feature Tracking in Continuous Time with Sliding Window Optimization},
author = {J. Chui and S. Klenk and D. Cremers},
year = {2021},
journal = {arXiv preprint},
eprint = {2107.04536},
eprinttype = {arXiv},
primaryclass = {cs.CV},
keywords = {Dynamic vision sensor, Continuous-time feature tracking, Sliding window, B-splines, SE2 warping, SLAM, vslam},
}
@inproceedings{koestler2021tandem,
author = {L Koestler and N Yang and N Zeller and D Cremers},
title = {TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo},
booktitle = {Conference on Robot Learning (CoRL)},
year = {2021},
eprint = {2111.07418},
eprinttype = {arXiv},
award = {3DV'21 Best Demo Award},
keywords = {tandem, odometry, VO, SLAM, vslam, dense reconstruction, mvs},
}
@inproceedings{weber2021mcg,
author = {S Weber and N Demmel and D Cremers},
title = {Multidirectional Conjugate Gradients for Scalable Bundle Adjustment},
booktitle = {German Conference on Pattern Recognition (GCPR)},
year = {2021},
keywords = {large-scale reconstruction, bundle adjustment, preconditioned conjugate gradients, SLAM, vslam},
}
@article{mozes2021,
title = {Scene Graph Generation for Better Image Captioning?},
author = {M. Mozes and M. Schmitt and V. Golkov and H. Schütze and D. Cremers},
year = {2021},
journal = {arXiv preprint},
eprint = {2109.11398},
eprinttype = {arXiv},
primaryclass = {cs.CV},
keywords = {deep learning, computer vision, natural language processing, image captioning, scene graphs, attention mechanism},
}
@phdthesis{Golkov-PhDthesis,
author = {V. Golkov},
title = {Deep learning and variational analysis for high-dimensional and geometric biomedical data},
school = {Department of Informatics, Technical University of Munich,
Germany},
year = {2021},
topic = {deep learning, medical imaging, protein structure prediction, neural networks, machine learning, calculus of variations, diffusion MRI, magnetic resonance imaging},
keywords = {deep learning, medical imaging, protein structure prediction, neural networks, machine learning, calculus of variations, diffusion MRI, magnetic resonance imaging},
}
@article{stumberg22dmvio,
author = {L. von Stumberg and D. Cremers},
title = {{DM-VIO}: Delayed Marginalization Visual-Inertial Odometry},
journal = {{IEEE} Robotics and Automation Letters ({RA-L}) & International Conference on Robotics and Automation ({ICRA})},
year = {2022},
volume = {7},
number = {2},
pages = {1408-1415},
doi = {10.1109/LRA.2021.3140129},
keywords = {dm-vio, dso, vslam, SLAM, VIO, visual-inertial, vi-dso},
}
@inproceedings{lee21trust,
booktitle = {5th Conference on Robot Learning (CoRL)},
month = {November},
title = {Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse {G}aussian Processes},
journal = {Conference on Robot Learning (CoRL)},
author = {J Lee and J Feng and M Humt and MG Müller and R Triebel},
year = {2021},
}
@inproceedings{schnaus21bayesian,
author = {D Schnaus and J Lee and R Triebel},
booktitle = {Bayesian Deep Learning NeurIPS 2021 Workshop},
year = {2021},
title = {Kronecker-Factored Optimal Curvature},
keywords = {deep learning, bayesian deep learning},
}
@inproceedings{liao21learning,
booktitle = {International Conference on Advanced Robotics (ICAR)},
author = {HC Liao and R Giubilato and W Stürzl and R Triebel},
year = {2021},
title = {Learning-Based Matching of {3D} Submaps from Dense Stereo for Planetary-Like Environments},
}
@inproceedings{giubilato21multi,
booktitle = {2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
author = {R Giubilato and M Vayugundla and W Stürzl and M Schuster and A Wedler and R Triebel},
journal = {2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
title = {Multi-Modal Loop Closing in Unstructured Planetary Environments with Visually Enriched Submaps},
year = {2021},
}
@inproceedings{durner21unknown,
title = {Unknown Object Segmentation from Stereo Images},
year = {2021},
author = {M Durner and W Boerdijk and M Sundermeyer and W Friedl and ZC Marton and R Triebel},
booktitle = {International Conference on Intelligent Robots and Systems},
}
@inproceedings{lyssenko21instance,
author = {M Lyssenko and C Gladisch and C Heinzemann and M Woehrle and R Triebel},
booktitle = {2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)},
title = {Instance Segmentation in {CARLA}: Methodology and Analysis for Pedestrian-oriented Synthetic Data Generation in Crowded Scenes},
pages = {988--996},
year = {2021},
publisher = {IEEE},
}
@inproceedings{mueller21photo,
title = {A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments},
year = {2021},
author = {MG Müller and M Durner and A Gawel and W Stürzl and R Triebel and R Siegwart},
booktitle = {2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
}
@inproceedings{Veraart2022,
title = {A data-driven variability assessment of brain diffusion {MRI} preprocessing pipelines},
author = {J. Veraart and 100 coauthors},
year = {2022},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
keywords = {diffusion MRI, magnetic resonance imaging, medical imaging},
award = {Oral Presentation},
}
@inproceedings{Sommer2022,
author = {C Sommer and L Sang and D Schubert and D Cremers},
title = {Gradient-{SDF}: {A} Semi-Implicit Surface Representation for 3D Reconstruction},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2022},
url = {https://arxiv.org/abs/2111.13652},
titleurl = {sommer2022.png},
}
@inproceedings{ye2021joint,
title = {Joint Deep Multi-Graph Matching and {3D} Geometry Learning from Inhomogeneous {2D} Image Collections},
author = {Z Ye and T Yenamandra and F Bernard and D Cremers},
booktitle = {AAAI},
titleurl = {ye2021joint.pdf},
year = {2022},
}
@article{Brunner2022,
author = {C. Brunner and A. Duensing and C. Schröder and M. Mittermair and V. Golkov and M. Pollanka and D. Cremers and R. Kienberger},
title = {Deep Learning in Attosecond Metrology},
journal = {Optics Express},
year = {2022},
keywords = {attosecond metrology, photoelectron spectroscopy, deep learning, physics, attosecond streak camera, streaking, Neural networks; Phase retrieval; Photoelectron spectra; Power spectra; Streak cameras; Time resolved spectroscopy},
volume = {30},
number = {9},
pages = {15669--15684},
publisher = {OSA},
url = {https://opg.optica.org/OE/abstract.cfm?uri=OE-30-9-15669},
doi = {10.1364/OE.452108},
award = {Editor's Pick},
}
@inproceedings{yenamandra2024fire,
author = {T Yenamandra and A Tewari and N Yang and F Bernard and C Theobalt and D Cremers},
title = {FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {January},
year = {2024},
pages = {3077-3087},
}
@inproceedings{muhle2022pnec,
author = {D Muhle and L Koestler and N Demmel and F Bernard and D Cremers},
title = {The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions},
eprint = {2204.02256},
eprinttype = {arXiv},
eprintclass = {cs.CV},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2022},
keywords = {pnec, vo, vslam},
}
@inproceedings{wimbauer2022rendering,
title = {De-rendering 3D Objects in the Wild},
author = {F Wimbauer and S Wu and C Rupprecht},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2022},
eprint = {2201.02279},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}
@inproceedings{pccontrol_2022,
title = {Lateral Ego-Vehicle Control Without Supervision Using Point Clouds},
author = {F Müller and Q Khan and D Cremers},
booktitle = {Pattern Recognition and Artificial Intelligence},
publisher = {Springer International Publishing},
keywords = {deep learning},
pages = {477--488},
isbn = {978-3-031-09037-0},
year = {2022},
}
@inproceedings{pathfinding_2022,
title = {Biologically Inspired Neural Path Finding},
author = {L Hang and Q Khan and V Tresp and D Cremers},
booktitle = {Brain Informatics},
publisher = {Springer International Publishing},
keywords = {deep learning},
year = {2022},
}
@inproceedings{ventriloquist_2022,
title = {Ventriloquist-Net: Leveraging Speech Cues for Emotive Talking Head Generation},
author = {D Das and Q Khan and D Cremers},
booktitle = {IEEE International Conference on Image Processing},
keywords = {deep learning},
year = {2022},
}
@inproceedings{koestler2022intrinsic,
author = {L Koestler and D Grittner and M Moeller and D Cremers and Z Lähner},
title = {Intrinsic Neural Fields: Learning Functions on Manifolds},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2022},
eprint = {2203.07967},
eprinttype = {arXiv},
keywords = {Neural Fields, Shape Analysis, Geometry Processing},
}
@inproceedings{fontan2022model,
author = {AF Villacampa and LO Maza and J Civera and R Triebel},
title = {A Model for Multi-View Residual Covariances Based on Perspective Deformation},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2022},
}
@inproceedings{aljabout2022seeking,
author = {E Aljalbout and M Ulmer and R Triebel},
title = {Seeking Visual Discomfort: Curiosity-Driven Representations for Reinforcement Learning},
booktitle = {International Conference on Robotics and Automation (ICRA)},
year = {2022},
}
@inproceedings{stoiber2022iterative,
author = {M Stoiber and M Sundermeyer and R Triebel},
title = {Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2022},
}
@inproceedings{boerdijk2022towards,
author = {W Boerdijk and M Durner and M Sundermeyer and R Triebel},
title = {Towards Robust Perception of Unknown Objects in the Wild},
booktitle = {ICRA Workshop on Robotic Perception and Mapping: Emerging Techniques},
year = {2022},
}
@inproceedings{lyssenko22towards,
author = {M Lyssenko and CD Gladisch and C Heinzemann and M Woehrle and R Triebel},
title = {Towards Safety-Aware Pedestrian Detection in Autonomous Systems},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
year = {2022},
}
@inproceedings{knauer22recall,
author = {M Knauer and M Denninger and R Triebel},
title = {RECALL: Rehearsal-free Continual Learning for Object Classification},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
year = {2022},
}
@inproceedings{winkelbauer22two,
author = {D Winkelbauer and B Bäuml and N Thuerey and R Triebel},
title = {A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
year = {2022},
}
@inproceedings{feng22bayesian,
author = {J Feng and J Lee and M Durner and R Triebel},
title = {Bayesian Active Learning for Sim-to-Real Robotic Perception},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
year = {2022},
}
@inproceedings{meyer22probabilistic,
author = {L Meyer and KH. Strobl and R Triebel},
title = {The Probabilistic Robot Kinematics Model and its Application to Sensor Fusion},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
year = {2022},
}
@inproceedings{giubilato22challenges,
author = {R Giubilato and W Stürzl and A Wedler and R Triebel},
title = {Challenges of SLAM in extremely unstructured environments: the DLR Planetary Stereo, Solid-State LiDAR, Inertial Dataset},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
year = {2022},
}
@inproceedings{gladkova2022directtracker,
author = {M Gladkova and N Korobov and N Demmel and A Ošep and L Leal-Taixé and D Cremers},
title = {DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
year = {2022},
eprint = {2209.14965},
eprinttype = {arXiv},
eprintclass = {cs.CV},
keywords = {multi-object tracking, 3D object detection, slam, scene understanding},
}
@inproceedings{hofherr2023neuralPhysParam,
author = {F Hofherr and L Koestler and F Bernard and D Cremers},
title = {Neural Implicit Representations for Physical Parameter Inference from a Single Video},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
year = {2023},
eprint = {2204.14030},
eprinttype = {arXiv},
keywords = {Neural Fields, Physical Parameter Estimation, Geometry Processing},
}
@inproceedings{wang2021epfgnn,
author = {Y Wang and Y Shen and D Cremers},
title = {Explicit pairwise factorized graph neural network for semi-supervised
node classification},
booktitle = {UAI},
year = {2021},
eprint = {2107.13059},
eprinttype = {arXiv},
eprintclass = {cs.LG},
keywords = {deep learning, graph neural network},
}
@inproceedings{hsu2022gats,
title = {What Makes Graph Neural Networks Miscalibrated?},
author = {HHH Hsu and Y Shen and C Tomani and D Cremers},
booktitle = {NeurIPS},
year = {2022},
eprint = {2210.06391},
eprinttype = {arXiv},
eprintclass = {cs.LG},
keywords = {deep learning, graph neural network, calibration},
}
@inproceedings{shen2022dca,
title = {Deep Combinatorial Aggregation},
author = {Y Shen and D Cremers},
booktitle = {NeurIPS},
year = {2022},
eprint = {2210.06436},
eprinttype = {arXiv},
eprintclass = {cs.LG},
keywords = {deep learning, uncertainty-aware learning},
}
@inproceedings{sang2023high,
author = {L Sang and B Haefner and X Zuo and D Cremers},
title = {High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF},
booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
month = {January},
address = {Hawaii, USA},
year = {2023},
eprint = {2210.12202},
eprinttype = {arXiv},
eprintclass = {cs.CV},
copyright = {Creative Commons Attribution Non Commercial No Derivatives 4.0 International},
titleurl = {sang2023high.png},
award = {Spotlight Presentation},
keywords = {3d-reconstruction,rgb-d,photometry},
}
@inproceedings{hsu2022a,
title = {A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs},
author = {HHH Hsu and Y Shen and D Cremers},
booktitle = {NeurIPS 2022 Workshop: New Frontiers in Graph Learning},
year = {2022},
eprint = {2210.15575},
eprinttype = {arXiv},
eprintclass = {cs.LG},
keywords = {deep learning, graph neural network, uncertainty estimation, calibration},
}
@article{saroha2022implicit,
title = {Implicit Shape Completion via Adversarial Shape Priors},
author = {A Saroha and M Eisenberger and T Yenamandra and D Cremers},
journal = {arXiv preprint arXiv:2204.10060},
year = {2022},
titleurl = {saroha2022implicit.png},
}
@inproceedings{ehm2021shortest,
title = {Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Application to 3D Multi-Shape Analysis},
author = {V Ehm and D Cremers and F Bernard},
booktitle = {2021 International Conference on 3D Vision (3DV)},
pages = {1186--1195},
year = {2021},
titleurl = {ehm2021_mvsp.png},
organization = {IEEE},
}
@article{klenk2023nerf,
title = {E-nerf: Neural radiance fields from a moving event camera},
author = {S Klenk and L Koestler and D Scaramuzza and D Cremers},
journal = {IEEE Robotics and Automation Letters},
volume = {8},
number = {3},
pages = {1587--1594},
year = {2023},
publisher = {IEEE},
keywords = {event camera, enerf, nerf},
}
@inproceedings{klenk2022masked,
title = {Masked Event Modeling: Self-Supervised Pretraining for Event Cameras},
author = {S Klenk and D Bonello and L Koestler and N Araslanov and D Cremers},
journal = {arXiv preprint arXiv:2212.10368},
year = {2024},
eprint = {2212.10368},
eprinttype = {arXiv},
eprintclass = {cs.CV},
booktitle = {{IEEE Winter Conference on Applications of Computer Vision (WACV)}},
month = {January},
address = {Hawaii, USA},
}
@article{wenzel2022seasons,
title = {4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions},
author = {P Wenzel and N Yang and R Wang and N Zeller and D Cremers},
journal = {arXiv preprint arXiv:2301.01147},
year = {2022},
eprint = {2301.01147},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}
@article{nndriving2023,
title = {Learning vision based autonomous lateral vehicle control without supervision},
author = {Q Khan and I Sülö and M Öcal and D Cremers},
journal = {Applied Intelligence},
pages = {1--13},
year = {2023},
publisher = {Springer},
keywords = {intelligent driving, neural networks, deep learning},
}
@inproceedings{Dekel_2020_CVPR,
author = {A Dekel and L Härenstam-Nielsen and S Caccamo},
title = {Optimal least-squares solution to the hand-eye calibration problem},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
Recognition (CVPR)},
month = {June},
year = {2020},
titleurl = {linus_handeye.png},
eprint = {2002.10838},
eprinttype = {arXiv},
}
@inproceedings{sdrRobustTriangulation,
author = {L Härenstam-Nielsen and N Zeller and D Cremers},
title = {Semidefinite Relaxations for Robust Multiview Triangulation},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2023},
titleurl = {robust_triangulation.png},
eprinttype = {arXiv},
eprint = {2301.11431},
eprintclass = {cs.CV},
}
@inproceedings{weber2023power,
title = {Power Bundle Adjustment for Large-Scale 3D Reconstruction},
author = {S Weber and N Demmel and T Chon Chan and D Cremers},
eprint = {2204.12834},
eprinttype = {arXiv},
eprintclass = {cs.CV},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {bundle adjustment, optimization, SLAM, vslam},
titleurl = {weber2022psc.pdf},
year = {2023},
}
@inproceedings{wimbauer2023behind,
title = {Behind the Scenes: Density Fields for Single View Reconstruction},
author = {F Wimbauer and N Yang and C Rupprecht and D Cremers},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2023},
eprinttype = {arXiv},
eprint = {2301.07668},
eprintclass = {cs.CV},
keywords = {depth prediction, volumetric, nerf, mvs, deep learning, SLAM, vslam, reconstruction},
titleurl = {wimbauer2023behind.png},
}
@inproceedings{meier2023niff,
title = {NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection
via Neural Instance Feature Forging},
author = {K Guirguis and J Meier and G Eskandar and M Kayser and B Yang and J Beyerer},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2023},
eprinttype = {arXiv},
eprint = {2303.04958},
eprintclass = {cs.CV},
keywords = {omputer Vision and Pattern Recognition (cs.CV), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
titleurl = {meier2023niff.png},
}
@inproceedings{meier2021boltzman,
author = {V Borisov and J Meier and Jvan den Heuvel and H Jalali and G Kasneci},
title = {A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines},
year = {2021},
booktitle = {Neural Information Processing Systems Conference - NeurIPS 2021: eXplainable AI approaches for debugging and diagnosis workshop},
eprinttype = {arXiv},
eprint = {2111.07379},
eprintclass = {cs.CV},
keywords = {Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
}
@inproceedings{Limitless,
author = {C Koke},
title = {Limitless Stability for Graph Convolutional Networks},
booktitle = {International Conference on Learning Representations (ICLR)},
primaryclass = {cs.LG},
eprint = {2301.11443},
eprinttype = {arXiv},
year = {2023},
}
@inproceedings{GraphWaveletBeyond,
author = {C Koke and G Kutyniok},
title = {Graph Scattering beyond Wavelet Shackles},
booktitle = {Neural Information Processing Systems Conference (NeurIPS)},
primaryclass = {cs.LG},
eprint = {2301.11456},
eprinttype = {arXiv},
year = {2022},
}
@article{1dPhotDirac,
author = {C Koke and C Noh and D Angelakis},
title = {Dirac equation in 2-dimensional curved spacetime, particle creation, and coupled waveguide arrays},
journal = {Annals of Physics},
year = {2016},
volume = {374},
eprint = {1607.04821},
eprinttype = {arXiv},
pages = {162--178},
}
@article{2dPhotDirac,
author = {C Koke and C Noh and D Angelakis},
title = {Dirac equation on a square waveguide lattice with site-dependent coupling strengths and the gravitational Aharonov-Bohm effect},
journal = {Physical Review A},
year = {2020},
volume = {102},
eprint = {1909.12543},
eprinttype = {arXiv},
pages = {013514},
}
@article{Wimmer2023,
title = {Scale-Equivariant Deep Learning for 3D Data},
author = {T Wimmer and V Golkov and HN Dang and M Zaiss and A Maier and D Cremers},
year = {2023},
journal = {arXiv preprint},
eprint = {2304.05864},
eprinttype = {arXiv},
primaryclass = {cs.CV},
keywords = {deep learning, equivariant deep learning, scale-equivariance, magnetic resonance imaging, image segmentation, medical imaging},
}
@inproceedings{pfeiffer2019visual,
title = {Visual person understanding through multi-task and multi-dataset learning},
author = {K Pfeiffer and A Hermans and I Sárándi and M Weber and B Leibe},
booktitle = {German Conference on Pattern Recognition (GCPR)},
pages = {551--566},
year = {2019},
organization = {Springer International Publishing},
}
@inproceedings{weber2020single,
title = {Single-Shot Panoptic Segmentation},
author = {M Weber and J Luiten and B Leibe},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
pages = {8476--8483},
year = {2020},
}
@inproceedings{ovsep20204d,
title = {4D generic video object proposals},
author = {A Ošep and P Voigtlaender and M Weber and J Luiten and B Leibe},
booktitle = {International Conference on Robotics and Automation (ICRA)},
pages = {10031--10037},
year = {2020},
organization = {IEEE},
}
@inproceedings{weber2021step,
title = {STEP: Segmenting and Tracking Every Pixel},
author = {M Weber and J Xie and M Collins and Y Zhu and P Voigtlaender and H Adam and B Green and A Geiger and B Leibe and D Cremers and others},
booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS Track on Datasets and Benchmarks)},
volume = {1},
year = {2021},
}
@inproceedings{aygun20214d,
title = {4D Panoptic LiDAR Segmentation},
author = {M Aygun and A Osep and M Weber and M Maximov and C Stachniss and J Behley and L Leal-Taixé},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
pages = {5527--5537},
year = {2021},
}
@article{weber2021deeplab2,
title = {DeepLab2: A TensorFlow Library for Deep Labeling},
author = {M Weber and H Wang and S Qiao and J Xie and MD Collins and Y Zhu and L Yuan and D Kim and Q Yu and D Cremers and others},
journal = {arXiv preprint arXiv:2106.09748},
year = {2021},
}
@article{dang2023,
title = {Joint {MR} sequence optimization beats pure neural network approaches for spin-echo {MRI} super-resolution (12-page version)},
author = {HN Dang and V Golkov and T Wimmer and D Cremers and A Maier and M Zaiss},
journal = {arXiv preprint arXiv:2305.07524},
year = {2023},
keywords = {medical imaging, magnetic resonance imaging, pulse sequences, super-resolution, deep learning},
eprint = {2305.07524},
eprinttype = {arXiv},
}
@inproceedings{zaiss2023,
title = {{GPT4MR}: Exploring {GPT-4} as an {MR} Sequence and Reconstruction Programming Assistant},
author = {M Zaiss and HN Dang and V Golkov and J Rajput and D Cremers and F Knoll and A Maier},
year = {2023},
keywords = {medical imaging, magnetic resonance imaging, pulse sequences, deep learning, large language models, prompt engineering},
url = {https://docs.google.com/document/d/1iy6AaTWCpGjfVc5Z0ar7VXWyJyNq3PlY2NYoeKCD0T4/},
booktitle = {European Society for Magnetic Resonance in Medicine and Biology ({ESMRMB}) Annual Meeting},
award = {Oral Presentation},
}
@inproceedings{ehm2023non,
booktitle = {Eurographics 2023 - Posters},
title = {{Non-Separable Multi-Dimensional Network Flows for Visual Computing}},
author = {V Ehm and D Cremers and F Bernard},
year = {2023},
publisher = {The Eurographics Association},
issn = {1017-4656},
isbn = {978-3-03868-211-0},
titleurl = {ehm_vector_high_res.png},
doi = {10.2312/egp.20231028},
}
@inproceedings{Dang2024,
title = {Joint sequence optimization beats pure neural network approaches for super-resolution {TSE}},
author = {HN Dang and V Golkov and J Endres and S Weinmüller and F Glang and T Wimmer and D Cremers and A Dörfler and A Maier and and M Zaiss},
year = {2024},
booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
keywords = {MRI, magnetic resonance imaging, medical imaging, pulse sequences, deep learning, neural networks, MRI reconstruction},
award = {Power Pitch},
}
@inproceedings{Liebeskind2024,
title = {The {Pulseq-CEST} Library: Definition of Preparations and Simulations, Example Data, and Example Evaluations},
author = {A Liebeskind and MS Fabian and JR Schüre and S Weinmüller and P Schünke and V Golkov and D Cremers and M Zaiss},
year = {2024},
booktitle = {10th International Workshop on Chemical Exchange Saturation Transfer (CEST 2024)},
keywords = {MRI, magnetic resonance imaging, medical imaging, pulse sequences, MRI reconstruction},
award = {Oral Presentation},
}
@inproceedings{Khan2024,
title = {Improving the Detection of Air-Voids and Aggregates in Images of Concrete Using Generative {AI}},
author = {Q Khan and M Hassan and V Kostic and V Golkov and C Gehlen and D Cremers},
year = {2024},
booktitle = {GNI Symposium on AI for the Built World},
keywords = {deep learning, building materials, concrete, image segmentation, generative AI},
}
@article{Bongratz2024,
title = {How to Choose a Reinforcement-Learning Algorithm},
author = {F Bongratz and V Golkov and L Mautner and L Della Libera and F Heetmeyer and F Czaja and J Rodemann and D Cremers},
journal = {arXiv preprint arXiv:2407.20917},
eprint = {2407.20917},
eprinttype = {arXiv},
year = {2024},
url = {https://rl-picker.github.io/},
}
@inproceedings{sang2023enhanching,
title = {Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented Representations},
author = {L Sang and A Saroha and M Gao and D Cremers},
booktitle = {ECCV workshop: wild in 3D},
year = {2024},
eprint = {2306.02099},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {sang2023.png},
}
@inproceedings{muhle2023learning,
title = {Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares},
author = {D Muhle and L Koestler and KM Jatavallabhula and D Cremers},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
eprint = {2305.09527},
eprinttype = {arXiv},
eprintclass = {cs.CV},
pages = {13102--13112},
year = {2023},
keywords = {pnec, vo, vslam, deep learning},
}
@inproceedings{lidarsynthesis2023,
title = {LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels},
booktitle = {IEEE 26th International Conference on Intelligent Transportation Systems},
author = {J Schmidt and Q Khan and D Cremers},
year = {2023},
keywords = {neural networks, deep learning, lidar },
}
@inproceedings{multiagent2023,
title = {Multi Agent Navigation in Unconstrained Environments Using a Centralized Attention Based Graphical Neural Network Controller},
booktitle = {IEEE 26th International Conference on Intelligent Transportation Systems},
author = {Y Ma and Q Khan and D Cremers},
year = {2023},
keywords = {neural networks, deep learning, multi-agent control},
}
@article{vehiclepursuit2023,
author = {J Pan and C Zhou and M Gladkova and Q Khan and D Cremers},
title = {Robust Autonomous Vehicle Pursuit without Expert Steering Labels},
journal = {{IEEE} Robotics and Automation Letters ({RA-L})},
year = {2023},
volume = {8},
number = {10},
pages = {6595 - 6602},
keywords = {vehicle pursuit, deep learning},
}
@inproceedings{xia2023casspr,
author = {Y Xia and M Gladkova and R Wang and Q Li and U Stilla and JF. Henriques and D Cremers},
title = {{CASSPR}: Cross Attention Single Scan Place Recognition},
eprint = {2211.12542},
eprinttype = {arXiv},
eprintclass = {cs.CV},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
year = {2023},
keywords = {lidar, place recognition, deep learning},
}
@inproceedings{xia2024text2loc,
title = {Text2Loc: 3D Point Cloud Localization from Natural Language},
author = {Y Xia and L Shi and Z Ding and JF Henriques and D Cremers},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {3d localization, deep learning, LiDAR point cloud},
year = {2024},
titleurl = {text2loc_performance.jpg},
}
@inproceedings{koke2024holonets,
title = {HoloNets: Spectral Convolutions do extend to Directed Graphs},
author = {C Koke and D Cremers},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2024},
eprint = {2310.02232},
eprinttype = {arXiv},
journal = {arXiv preprint arXiv:2306.02099primaryClass=cs.LG},
}
@inproceedings{koke2023holonets,
title = {HoloNets: Spectral Convolutions do extend to Directed Graphs},
author = {C Koke and D Cremers},
booktitle = {NeurIPS 2023 Workshop: New Frontiers in Graph Learning},
award = {Oral Presentation},
year = {2023},
eprint = {2310.02232},
eprinttype = {arXiv},
journal = {arXiv preprint arXiv:2306.02099primaryClass=cs.LG},
}
@inproceedings{koke2024transferability,
title = {Transferability for Graph Convolutional Networks},
author = {C Koke and A Saroha and Y Shen and M Eisenberger and MM. Bronstein and D Cremers},
booktitle = {ICML 2024 Workshop on Geometry-grounded Representation Learning and Generative Modeling},
year = {2024},
award = {Outstanding Extended Abstract},
url = {https://openreview.net/forum?id=rKEdfcaqYX},
}
@inproceedings{koke2023resolvnet,
title = {ResolvNet: A Graph Convolutional Network with multi-scale Consistency},
author = {C Koke and A Saroha and Y Shen and M Eisenberger and D Cremers},
booktitle = {NeurIPS 2023 Workshop: New Frontiers in Graph Learning},
award = {Oral Presentation},
year = {2023},
eprint = {2310.00431},
eprinttype = {arXiv},
journal = {arXiv preprint arXiv:2306.02099primaryClass=cs.LG},
}
@inproceedings{schnaus2023learning,
title = {Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks},
author = {D Schnaus and J Lee and D Cremers and R Triebel},
booktitle = {International Conference on Machine Learning},
pages = {30252--30284},
year = {2023},
organization = {PMLR},
}
@inproceedings{gao2023sigma,
author = {M Gao and P Roetzer and M Eisenberger and Z Lähner and M Moeller and D Cremers and F Bernard},
title = { {SIGMA}: Quantum Scale-Invariant Global Sparse Shape Matching},
booktitle = {International Conference on Computer Vision (ICCV)},
year = {2023},
keywords = {Shape Analysis, Geometry Processing, Global Optimisation, Mixed-Integer Programming, Laplace-Beltrami},
}
@inproceedings{Roetzer_et_al_cvpr22,
title = {A scalable combinatorial solver for elastic geometrically consistent 3d shape matching},
author = {P Roetzer and P Swoboda and D Cremers and F Bernard},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages = {428--438},
year = {2022},
}
@inproceedings{deka2023erasing,
title = {Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis},
author = {MS Deka and L Sang and D Cremers},
year = {2024},
booktitle = {German Conference on Pattern Recognition (GCPR)},
titleurl = {deka2023.png},
eprint = {2311.17634},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}
@inproceedings{komorowicz2023coloring,
title = {Coloring the Past: Neural Historical Buildings Reconstruction from Archival Photography},
author = {D Komorowicz and L Sang and F Maiwald and D Cremers},
year = {2024},
booktitle = {German Conference on Pattern Recognition (GCPR)},
titleurl = {komorowicz2023.png},
eprint = {2311.17810},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}
@inproceedings{compreason2024,
title = {Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining},
booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV},
author = {U Sahin and H Li and Q Khan and D Cremers and T Volker},
year = {2024},
keywords = {neural networks, deep learning, Large Language Models},
}
@inproceedings{hayler2023s4c,
title = {S4C: Self-Supervised Semantic Scene Completion with Neural Fields},
author = {A Hayler and F Wimbauer and D Muhle and C Rupprecht and D Cremers},
booktitle = {2024 International Conference on 3D Vision (3DV)},
year = {2024},
eprint = {2310.07522},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}
@inproceedings{wimbauer2023cache,
title = {Cache Me if You Can: Accelerating Diffusion Models through Block Caching},
author = {F Wimbauer and B Wu and E Schoenfeld and X Dai and J Hou and Z He and A Sanakoyeu and P Zhang and S Tsai and J Kohler and C Rupprecht and D Cremers and P Vajda and J Wang},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2024},
eprint = {2312.03209},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}
@inproceedings{ehm2023geometrically,
title = {Geometrically Consistent Partial Shape Matching},
author = {V Ehm and P Roetzer and M Eisenberger and M Gao and F Bernard and D Cremers},
booktitle = {3DV},
year = {2024},
titleurl = {2023_ehm_geo_cons.png},
}
@article{multivehicle2023,
title = {Multi-vehicle trajectory prediction and control at intersections using state and intention information},
author = {D Zhu and Q Khan and D Cremers},
journal = {Neurocomputing},
pages = {127220},
year = {2024},
publisher = {Elsevier},
keywords = {deep learning},
}
@inproceedings{solonets2024analytical,
title = {An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment},
author = {S Solonets and D Sinitsyn and L von Stumberg and N Araslanov and D Cremers},
booktitle = {{International Conference on Learning Representations (ICLR)}},
month = {May},
address = {Vienna, Austria},
year = {2024},
award = {Oral Presentation},
titleurl = {solonets2024gnloss.png},
}
@inproceedings{reich2024jpeg,
title = {Differentiable {JPEG}: The Devil is in the Details},
author = {C Reich and B Debnath and D Patel and S Chakradhar},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
pages = {4126--4135},
year = {2024},
titleurl = {reich2024jpeg.png},
eprint = {2309.06978},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}
@article{reich2022cell,
title = {Yeast cell segmentation in microstructured environments with deep learning},
author = {T Prangemeier and C Wildner and AO. Françani and C Reich and H Koeppl},
journal = {Biosystems},
volume = {211},
pages = {104557},
year = {2022},
publisher = {Elsevier},
titleurl = {reich2022cell.png},
}
@inproceedings{reich2020cellb,
title = {Attention-Based Transformers for Instance Segmentation of Cells in Microstructures},
author = {T Prangemeier and C Reich and H Koeppl},
booktitle = {2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
pages = {700--707},
year = {2020},
eprint = {2011.09763},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {reich2020cellb.png},
}
@inproceedings{reich2020cella,
title = {Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning},
author = {T Prangemeier and C Wildner and AO. Françani and C Reich and H Koeppl},
booktitle = {2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)},
pages = {1--8},
year = {2020},
eprint = {2011.08062},
eprinttype = {arXiv},
eprintclass = {q-bio.QM},
titleurl = {reich2020cella.png},
}
@inproceedings{reich2022compat,
title = {Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels},
author = {AG Gul and O Cetin and C Reich and N Flinner and T Prangemeier and H Koeppl},
booktitle = {Medical Imaging 2022: Digital and Computational Pathology},
volume = {12039},
organization = {International Society for Optics and Photonics},
publisher = {Proceedings of SPIE},
pages = {366--373},
year = {2022},
eprint = {2210.09021},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {reich2022compat.png},
}
@article{reich2022ecg,
title = {Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in Medical Machine Learning},
author = {M Rohr and C Reich and A Höhl and T Lilienthal and T Dege and F Plesinger and V Bulkova and GD Clifford and MA Reyna and C Hoog Antink},
journal = {Physiological Measurement},
volume = {43},
number = {7},
pages = {074001},
year = {2022},
publisher = {IOP Publishing},
titleurl = {reich2022ecg.png},
}
@inproceedings{reich2023cella,
title = {An Instance Segmentation Dataset of Yeast Cells in Microstructures},
author = {C Reich and T Prangemeier and AO Françani and H Koeppl},
booktitle = {45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
pages = {1-4},
year = {2023},
eprint = {2304.07597},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {reich2023cella.png},
}
@inproceedings{reich2023cellb,
title = {The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures},
author = {C Reich and T Prangemeier and H Koeppl},
booktitle = {IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)},
pages = {3940--3951},
year = {2023},
eprint = {2304.07597},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {reich2023cellb.png},
}
@inproceedings{reich2023ecg,
title = {On the Atrial Fibrillation Detection Performance of ECG-DualNet},
author = {C Reich and M Rohr and T Kircher and C Hoog Antink},
booktitle = {45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1-Page Paper, medRxiv},
year = {2023},
titleurl = {reich2023ecg.png},
}
@inproceedings{reich2021gan,
title = {Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy},
author = {C Reich and T Prangemeier and C Wildner and H Koeppl},
booktitle = {{International Conference on Medical image computing and computer-assisted intervention (MICCAI)}},
year = {2021},
pages = {476--486},
eprint = {2106.08285},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {reich2021gan.png},
}
@inproceedings{reich20213dseg,
title = {OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data},
author = {C Reich and T Prangemeier and Ö Cetin and H Koeppl},
booktitle = {British Machine Vision Conference (BMVC)},
year = {2021},
eprint = {2110.10640},
eprinttype = {arXiv},
eprintclass = {eess.IV},
titleurl = {reich20213dseg.png},
}
@inproceedings{reich2023eeg,
title = {Transformer Network with Time Prior for Predicting Clinical Outcome from EEG of Cardiac Arrest Patients},
author = {M Rohr and T Schilke and L Willems and C Reich and S Dill and G Güney and C Hoog Antink},
booktitle = {50th Computing in Cardiology Conference (CinC)},
year = {2023},
titleurl = {reich2023eeg.png},
}
@inproceedings{reich2023dvcc,
title = {Deep Video Codec Control},
author = {C Reich and B Debnath and D Patel and T Prangemeier and D Cremers and S Chakradhar},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
year = {2024},
eprint = {2308.16215},
eprinttype = {arXiv},
eprintclass = {eess.IV},
titleurl = {reich2023dvcc.png},
}
@article{bahmani2023ssa,
title = {Semantic Self-adaptation: Enhancing Generalization with a Single Sample},
author = {S Bahmani and O Hahn and E Zamfir and N Araslanov and D Cremers and S Roth},
journal = {Transactions on Machine Learning Research (TMLR)},
issn = {2835-8856},
year = {2023},
eprint = {2208.05788},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {bahmani2023ssa.png},
}
@inproceedings{reich2024coding,
title = {A Perspective on Deep Vision Performance with Standard Image and Video Codecs},
author = {C Reich and O Hahn and D Cremers and S Roth and B Debnath},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
year = {2024},
eprint = {2404.12330},
eprinttype = {arXiv},
eprintclass = {eess.IV},
titleurl = {reich2024coding.png},
}
@inproceedings{weber2024finslerlaplacebeltrami,
title = {Finsler-Laplace-Beltrami Operators with Application to Shape Analysis},
author = {S Weber and T Dagès and M Gao and D Cremers},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {shape analysis, finsler manifold},
titleurl = {weber_finsler.png},
year = {2024},
eprint = {2404.03999},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}
@inproceedings{weber2024flattening,
title = {Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball},
author = {S Weber and B Zöngür and N Araslanov and D Cremers},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {segmentation, hyperbolic, calibration},
titleurl = {weber_hyperbolic.png},
year = {2024},
eprint = {2404.03778},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}
@inproceedings{saroha2024gaussian,
title = {Gaussian Splatting in Style},
author = {A Saroha and M Gladkova and C Curreli and D Muhle and T Yenamandra and D Cremers},
booktitle = {German Conference on Pattern Recognition (GCPR)},
year = {2024},
titleurl = {gaussian-style-schema.png},
}
@inproceedings{han2024kdbts,
title = {Boosting Self-Supervision for Single-View Scene Completion
via Knowledge Distillation},
author = {K Han and D Muhle and F Wimbauer and D Cremers},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2024},
eprint = {2404.07933},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}
@inproceedings{chen2024leapvo,
title = {LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry},
author = {W Chen and L Chen and R Wang and M Pollefeys},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2024},
eprint = {2401.01887},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {chen2024leap.png},
}
@inproceedings{chen2024leveraging,
title = {Leveraging neural radiance fields for uncertainty-aware visual localization},
author = {L Chen and W Chen and R Wang and M Pollefeys},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
pages = {6298--6305},
year = {2024},
organization = {IEEE},
eprint = {2310.06984},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {chen2024leveraging.jpg},
}
@article{chen2023uncertainty,
title = {Uncertainty-driven dense two-view structure from motion},
author = {W Chen and S Kumar and F Yu},
journal = {IEEE Robotics and Automation Letters (RA-L) and IROS 2023},
volume = {8},
number = {3},
pages = {1763--1770},
year = {2023},
publisher = {IEEE},
eprint = {2302.00523},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {chen2023uncertainty.png},
}
@inproceedings{gurumurthy24v2v,
author = {S Gurumurthy and K Ram and B Chen and Z Manchester and Z Kolter},
title = {From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2024},
titleurl = {gurumurthy24v2v},
}
@inproceedings{schult24controlroom3d,
author = {J Schult and S Tsai and L Höllein and B Wu and J Wang and CY Ma and K Li and X Wang and F Wimbauer and Z He and P Zhang and B Leibe and P Vajda and J Hou},
title = {ControlRoom3D: Room Generation using Semantic Proxy Rooms},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2024},
titleurl = {schult2024controlroom3d},
}
@inproceedings{brahimi2024sparse,
author = {M Brahimi and B Haefner and Z Ye and B Goldluecke and D Cremers},
title = {Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2024},
titleurl = {brahimi2024sparseeprint=2404.00098},
eprinttype = {arXiv},
eprintclass = {cs.CV},
keywords = {d-reconstruction,photometry,deep learning,geometry processing},
}
@inproceedings{pmlr-v238-ye24a,
title = {Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization},
author = {Z Ye and G Peyré and D Cremers and P Ablin},
booktitle = {Proceedings of The 27th International Conference on Artificial Intelligence and Statistics},
pages = {955--963},
year = {2024},
editor = {Dasgupta, Sanjoy and Mandt, Stephan and Li, Yingzhen},
volume = {238},
series = {Proceedings of Machine Learning Research},
month = {02--04 May},
publisher = {PMLR},
pdf = {https://proceedings.mlr.press/v238/ye24a/ye24a.pdf},
url = {https://proceedings.mlr.press/v238/ye24a.html},
}
@inproceedings{weber2024power,
title = {Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment},
author = {S Weber and JH Hong and D Cremers},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2024},
titleurl = {weber2024power.png},
eprint = {2405.05079},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}
@inproceedings{shen2024variational,
title = {Variational Learning is Effective for Large Deep Networks},
author = {Y Shen and N Daheim and B Cong and P Nickl and GM Marconi and C Bazan and R Yokota and I Gurevych and D Cremers and ME Khan and T Möllenhoff},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2024},
award = {Spotlight},
eprint = {2402.17641},
eprinttype = {arXiv},
eprintclass = {cs.LG},
keywords = {deep learning},
}
@inproceedings{borrmann2023artificial,
title = {Artificial Intelligence for the Automated Creation of Multi-scale Digital Twins of the Built World—AI4TWINNING},
author = {A Borrmann and M Biswanath and A Braun and Z Chen and D Cremers and M Heeramaglore and L Hoegner and M Mehranfar and TH Kolbe and F Petzold and others},
booktitle = {International 3D GeoInfo Conference},
pages = {233--247},
year = {2023},
organization = {Springer},
}
@inproceedings{li2023ddit,
title = {{DDIT}: Semantic Scene Completion via Deformable Deep Implicit Templates},
author = {H Li and J Dong and B Wen and M Gao and T Huang and YH Liu and D Cremers},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
pages = {21894--21904},
year = {2023},
}
@article{klenk2023deep,
title = {Deep Event Visual Odometry},
author = {S Klenk and M Motzet and L Koestler and D Cremers},
journal = {arXiv preprint arXiv:2312.09800},
year = {2023},
}
@inproceedings{shan2023scp,
title = {{SCP}: Scene Completion Pre-training for {3D} Object Detection},
author = {Y Shan and Y Xia and Y Chen and D Cremers},
booktitle = {ISPRS Geospatial Week},
year = {2023},
award = {Best paper award},
}
@inproceedings{wysocki2023scan2lod3,
title = {{Scan2LoD3}: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks},
author = {O Wysocki and Y Xia and M Wysocki and E Grilli and L Hoegner and D Cremers and U Stilla},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages = {6548--6558},
year = {2023},
}
@inproceedings{colomer2023adapt,
title = {To adapt or not to adapt? Real-time adaptation for semantic segmentation},
author = {MB Colomer and PL Dovesi and T Panagiotakopoulos and JF Carvalho and L Härenstam-Nielsen and H Azizpour and H Kjellström and D Cremers and M Poggi},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
eprinttype = {arXiv},
eprint = {2307.15063},
pages = {16548--16559},
titleurl = {hamlet.png},
year = {2023},
}
@inproceedings{eskandar2023urban,
title = {{Urban-StyleGAN}: Learning to Generate and Manipulate Images of Urban Scenes},
author = {G Eskandar and Y Farag and T Yenamandra and D Cremers and K Guirguis and B Yang},
booktitle = {2023 IEEE Intelligent Vehicles Symposium (IV)},
pages = {1--8},
year = {2023},
organization = {IEEE},
}
@inproceedings{yang2024micdrop,
title = {{MICD}rop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation},
author = {L Yang and L Hoyer and M Weber and T Fischer and D Dai and L Leal-Taixé and D Cremers and M Pollefeys and LV Gool},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2024},
}
@inproceedings{li2024vxp,
title = {VXP: Voxel-Cross-Pixel Large-scale Image-LiDAR Place Recognition},
author = {YJ Li and M Gladkova and Y Xia and R Wang and D Cremers},
booktitle = {3DV},
year = {2025},
{{[arxiv]},
}
@inproceedings{cao2024spectral,
title = {Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation},
author = {D Cao and M Eisenberger and N El Amrani and D Cremers and F Bernard},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2024},
titleurl = {spectral-cao.png},
}
@inproceedings{toker2024satsynth,
title = {SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation},
author = {A Toker and M Eisenberger and D Cremers and L Leal-Taixe},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2024},
titleurl = {satsynth-toker.png},
}
@inproceedings{ehm2024partial,
title = {Partial-to-Partial Shape Matching with Geometric Consistency},
author = {V Ehm and M Gao and P Roetzer and M Eisenberger and D Cremers and F Bernard},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2024},
titleurl = {p2psm-vik.jpg},
}
@inproceedings{haerenstam2024diffcd,
title = {DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting},
author = {L Härenstam-Nielsen and L Sang and A Saroha and N Araslanov and D Cremers},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2024},
eprinttype = {arXiv},
eprint = {2407.17058},
titleurl = {diffcd.png},
}
@inproceedings{qian2024gaussianavatars,
title = {Gaussianavatars: Photorealistic head avatars with rigged 3d gaussians},
author = {S Qian and T Kirschstein and L Schoneveld and D Davoli and S Giebenhain and M Niessner},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages = {20299--20309},
year = {2024},
eprint = {2312.02069},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {qian2024gaussianavatars.jpg},
}
@inproceedings{qian2022unif,
title = {UNIF: United neural implicit functions for clothed human reconstruction and animation},
author = {S Qian and J Xu and Z Liu and L Ma and S Gao},
booktitle = {European Conference on Computer Vision},
pages = {121--137},
year = {2022},
organization = {Springer},
titleurl = {qian2022unif.jpg},
eprint = {2207.09835},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}
@inproceedings{qian2021speech,
title = {Speech drives templates: Co-speech gesture synthesis with learned templates},
author = {S Qian and Z Tu and Y Zhi and W Liu and S Gao},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
pages = {11077--11086},
year = {2021},
titleurl = {qian2021sdt.jpg},
eprint = {2108.08020},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}
@article{hofherr2018lagrangian,
title = {Lagrangian Transport Through Surfacesin Compressible Flows},
author = {F Hofherr and D Karrasch},
journal = {SIAM Journal on Applied Dynamical Systems},
volume = {17},
year = {2018},
eprint = {1707.00518},
eprinttype = {arXiv},
publisher = {SIAM Journal on Applied Mathematics},
}
@inproceedings{mahajan2024meshFeat,
author = {M Mahajan and F Hofherr and D Cremers},
title = {MeshFeat: Multi-Resolution Features for Neural Fields on Meshes},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2024},
eprint = {2407.13592},
eprinttype = {arXiv},
}
@inproceedings{yu2024an,
author = {Q Yu and M Weber and X Deng and X Shen and D Cremers and LC Chen},
title = {An Image is Worth 32 Tokens for Reconstruction and Generation},
booktitle = {NeurIPS},
year = {2024},
}
@article{weber2024maskbit,
author = {M Weber and L Yu and Q Yu and X Deng and X Shen and D Cremers and LC Chen},
title = {MaskBit: Embedding-free Image Generation via Bit Tokens},
journal = {arXiv:2409.16211},
year = {2024},
}
@inproceedings{,
author = {JM Meier and L Scalerandi and O Dhaouadi and J Kaiser and N Araslanov and D Cremers},
title = {{CARLA Drone:} Monocular 3D Object Detection from a Different Perspective},
booktitle = {46th German Conference on Pattern Recognition (GCPR)},
year = {2024},
titleurl = {meier2024cdrone.png},
award = {Oral Presentation},
}
@inproceedings{9811368,
author = {Q Cheng and N Zeller and D Cremers},
booktitle = {International Conference on Robotics and Automation (ICRA)},
title = {Vision-Based Large-scale 3D Semantic Mapping for Autonomous Driving Applications},
year = {2022},
pages = {9235-9242},
eprint = {2203.01087},
eprinttype = {arXiv},
eprintclass = {cs.CV},
titleurl = {9811368.png},
}
@article{10374214,
author = {W Zhang and T Sun and S Wang and Q Cheng and N Haala},
journal = {IEEE Robotics and Automation Letters (RAL) & Int. Conference on Intelligent Robots and Systems (IROS)},
title = {HI-SLAM: Monocular Real-Time Dense Mapping With Hybrid Implicit Fields},
year = {2024},
volume = {9},
number = {2},
pages = {1548-1555},
eprint = {2310.04787},
eprinttype = {arXiv},
eprintclass = {cs.RO},
titleurl = {10374214.png},
award = {Oral Presentation},
}
@inproceedings{zhang2023revisiting,
title = {Revisiting Rotation Averaging: Uncertainties and Robust Losses},
author = {G Zhang and V Larsson and D Barath},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
pages = {17215--17224},
year = {2023},
titleurl = {zhang2023rotation.png},
eprint = {2303.05195},
eprinttype = {arXiv},
eprintclass = {cs.CV},
}
@article{zhang2024glorie,
title = {GlORIE-SLAM: Globally Optimized Rgb-only Implicit Encoding Point Cloud SLAM},
author = {G Zhang and E Sandström and Y Zhang and M Patel and L Van Gool and MR Oswald},
journal = {arXiv preprint arXiv:2403.19549},
eprint = {2403.19549},
eprinttype = {arXiv},
eprintclass = {cv.CV},
titleurl = {zhang2024glorie.jpg},
year = {2024},
}
@inproceedings{cheng2024ppba,
title = {Physically-Based Photometric Bundle Adjustment in Non-Lambertian Environments},
author = {L Cheng and J Hu and H Yan and M Gladkova and T Huang and YH Liu and D Cremers and H Li},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
year = {2024},
eprint = {2409.11854},
eprinttype = {arXiv},
eprintclass = {cs.RO},
keywords = {SLAM},
}
@inproceedings{Shabanovi2024,
title = {Interactions Across Blocks in Post-Training Quantization of {LLM}s},
author = {K Shabanovi and L Wiest and T Pfeil and V Golkov and D Cremers},
year = {2024},
booktitle = {NeurIPS Workshop on Machine Learning and Compression},
keywords = {deep learning, large language models, neural networks, natural language processing},
}
@article{ma2024enhancing,
title = {Enhancing the Performance of Multi-Vehicle Navigation in Unstructured Environments using Hard Sample Mining},
author = {Y Ma and A Li and Q Khan and D Cremers},
journal = {arXiv preprint arXiv:2409.05119},
year = {2024},
}
@inproceedings{cong2024variational,
title = {Variational Low-Rank Adaptation Using IVON},
author = {B Cong and N Daheim and Y Shen and D Cremers and R Yokota and ME Khan and T Möllenhoff},
booktitle = {NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles and Scalability},
year = {2024},
keywords = {deep learning, natural language processing, Bayesian deep learning},
}
@inproceedings{hofherr2025neuralBRDFs,
author = {F Hofherr and B Haefner and D Cremers},
title = {On Neural BRDFs: A Thorough Comparison of State-of-the-Art Approaches},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
year = {2025},
}
@article{chang2019spin,
title = {Spin-Scenario: A flexible scripting environment for realistic MR simulations},
author = {Y Chang and D Wei and H Jia and C Curreli and Z Wu and M Sheng and SJ Glaser and X Yang},
journal = {Journal of magnetic resonance},
volume = {301},
pages = {1--9},
year = {2019},
publisher = {Elsevier},
}
@article{zhang2024hislam2,
title = {HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction},
author = {W Zhang and Q Cheng and D Skuddis and N Zeller and D Cremers and N Haala},
year = {2024},
journal = {arXiv preprint arXiv:2411.17982},
primaryclass = {cs.RO},
url = {https://arxiv.org/abs/2411.17982},
}
@article{li2024sagd,
title = {SADG: Segment Any Dynamic Gaussian Without Object Trackers},
author = {YJ Li and M Gladkova and Y Xia and D Cremers},
journal = {arXiv preprint arXiv:2411.19290},
eprint = {2411.19290},
eprinttype = {arXiv},
eprintclass = {cv.CV},
year = {2024},
}
@article{elrefaie2024piv,
author = {M Elrefaie and S Hüttig and M Gladkova and T Gericke and D Cremers and C Breitsamter},
title = {On-site aerodynamics using stereoscopic PIV and deep optical flow learning},
journal = {Experiments in Fluids},
year = {2024},
volume = {65},
issue = {12},
doi = {10.1007/s00348-024-03914-w},
publisher = {Springer Nature},
keywords = {Optical Flow, Particle Image Velocimetry, Aerodynamics, Flow Physics},
}
@article{wang2024voxnerf,
title = {VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis},
author = {S Wang and Q Cheng and S Gasperini and W Zhang and SC Wu and N Zeller and D Cremers and N Navab},
year = {2024},
journal = {arXiv preprint arXiv:2311.05289},
url = {https://arxiv.org/abs/2311.05289},
}