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spezial:bib [2020/01/13 18:04] yangn |
spezial:bib [2020/09/16 08:43] Christiane Sommer |
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- | e@STRING{aap = {Archiv f{\" | + | @STRING{aap = {Archiv f{\" |
@STRING{accv = {Asian Conference on Computer Vision}} | @STRING{accv = {Asian Conference on Computer Vision}} | ||
Line 83: | Line 83: | ||
@STRING{ecj = {Electronics and Communications in Japan}} | @STRING{ecj = {Electronics and Communications in Japan}} | ||
+ | |||
+ | @STRING{ecml = {European Conference on Machine Learning and Data Mining (ECML-PKDD)}} | ||
@STRING{ejde = {Proc. Energy Minimization Methods in Computer Vision and Pattern | @STRING{ejde = {Proc. Energy Minimization Methods in Computer Vision and Pattern | ||
Line 106: | Line 108: | ||
@STRING{icip = {{P}roceedings of the {IEEE} {I}nternational {C}onference on {I}mage {P}rocessing}} | @STRING{icip = {{P}roceedings of the {IEEE} {I}nternational {C}onference on {I}mage {P}rocessing}} | ||
+ | |||
+ | @STRING{icml = {{I}nternational {C}onference on {M}achine {L}earning (ICML)}} | ||
@STRING{icra = {International Conference on Robotics and Automation (ICRA)}} | @STRING{icra = {International Conference on Robotics and Automation (ICRA)}} | ||
Line 413: | Line 417: | ||
doi = {10.1016/ | doi = {10.1016/ | ||
topic = {3D Reconstruction}, | topic = {3D Reconstruction}, | ||
+ | } | ||
+ | |||
+ | @article{KuschkdGRC17, | ||
+ | author | ||
+ | P. d' | ||
+ | D. Gaudrie and | ||
+ | P. Reinartz and | ||
+ | D. Cremers}, | ||
+ | title = {Spatially Regularized Fusion of Multiresolution Digital Surface Models}, | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {1477--1488}, | ||
+ | year = {2017}, | ||
+ | } | ||
+ | |||
+ | @article{CremersLV17, | ||
+ | author | ||
+ | L. Leal{-}Taix{\' | ||
+ | R. Vidal}, | ||
+ | title = {Deep Learning for Computer Vision (Dagstuhl Seminar 17391)}, | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {109--125}, | ||
+ | year = {2017}, | ||
+ | } | ||
+ | |||
+ | @incollection{Cremers15, | ||
+ | author | ||
+ | editor | ||
+ | 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 | ||
+ | A. Albarelli and | ||
+ | F. Bergamasco and | ||
+ | A. Torsello and | ||
+ | E. Rodol{\`{a}} and | ||
+ | D. Cremers}, | ||
+ | title = {A game-theoretical approach for joint matching of multiple feature | ||
+ | | ||
+ | booktitle = {23rd International Conference on Pattern Recognition, | ||
+ | | ||
+ | pages = {3715--3720}, | ||
+ | publisher = {{IEEE}}, | ||
+ | year = {2016}, | ||
} | } | ||
Line 437: | Line 494: | ||
year = {2015}, | year = {2015}, | ||
keywords = diebold, | keywords = diebold, | ||
+ | } | ||
+ | |||
+ | @inproceedings{Benning0N0CGS17, | ||
+ | author | ||
+ | M. M{\" | ||
+ | R. Z. Nossek and | ||
+ | M. Burger and | ||
+ | D. Cremers and | ||
+ | G. Gilboa and | ||
+ | | ||
+ | editor | ||
+ | Y. Dong and | ||
+ | A. Dahl}, | ||
+ | title = {Nonlinear Spectral Image Fusion}, | ||
+ | booktitle = {Scale Space and Variational Methods in Computer Vision - 6th International | ||
+ | | ||
+ | series | ||
+ | volume | ||
+ | pages = {41--53}, | ||
+ | publisher = {Springer}, | ||
+ | year = {2017}, | ||
} | } | ||
Line 468: | Line 546: | ||
journal = ijcv, | journal = ijcv, | ||
issuetitle = {{Special Issue on Graphical Models for Scene Understanding}}, | issuetitle = {{Special Issue on Graphical Models for Scene Understanding}}, | ||
- | year = {2015}, | + | |
+ | number | ||
+ | pages = {199--225}, | ||
+ | | ||
publisher = {Springer US}, | publisher = {Springer US}, | ||
issn = {0920-5691}, | issn = {0920-5691}, | ||
Line 745: | Line 826: | ||
titleurl = {2010_sskkc_sdf.pdf}, | titleurl = {2010_sskkc_sdf.pdf}, | ||
keywords={biology} | keywords={biology} | ||
+ | } | ||
+ | |||
+ | @inproceedings{Bender0C17, | ||
+ | author | ||
+ | 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 | ||
+ | | ||
+ | pages = {505--511}, | ||
+ | publisher = {{IEEE}}, | ||
+ | year = {2017}, | ||
} | } | ||
Line 3464: | Line 3558: | ||
} | } | ||
+ | |||
+ | @article{DBLP: | ||
+ | author | ||
+ | S. Caelles and | ||
+ | Y. Chen and | ||
+ | J. Pont{-}Tuset and | ||
+ | L. Leal{-}Taix{\' | ||
+ | D. Cremers and | ||
+ | L. Van Gool}, | ||
+ | title = {Video Object Segmentation without Temporal Information}, | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {1515--1530}, | ||
+ | year = {2019}, | ||
+ | url = {https:// | ||
+ | doi = {10.1109/ | ||
+ | timestamp = {Sat, 30 May 2020 01:00:00 +0200}, | ||
+ | biburl | ||
+ | bibsource = {dblp computer science bibliography, | ||
+ | } | ||
@INPROCEEDINGS{GM04: | @INPROCEEDINGS{GM04: | ||
Line 4762: | Line 4877: | ||
Number = {1}, | Number = {1}, | ||
Title = {Car detection by fusion of HOG and causal MRF}, | Title = {Car detection by fusion of HOG and causal MRF}, | ||
- | Volume | + | volume |
+ | number | ||
+ | pages = {575--590}, | ||
Year = {2015}, | Year = {2015}, | ||
- | | + | } |
+ | |||
+ | @inproceedings{HenschelLCR18, | ||
+ | author | ||
+ | L. Leal{-}Taix{\' | ||
+ | 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 | ||
+ | | ||
+ | | ||
+ | | ||
+ | publisher = {{IEEE} Computer Society}, | ||
+ | year = {2018}, | ||
} | } | ||
Line 4942: | Line 5072: | ||
year = 2014, | year = 2014, | ||
keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing} | keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing} | ||
+ | } | ||
+ | |||
+ | @inproceedings{sommer18joint, | ||
+ | author | ||
+ | D. Cremers}, | ||
+ | title = {Joint Representation of Primitive and Non-primitive Objects for 3D | ||
+ | | ||
+ | booktitle = {2018 International Conference on 3D Vision, 3DV 2018, Verona, Italy, | ||
+ | | ||
+ | pages = {160--169}, | ||
+ | publisher = {{IEEE} Computer Society}, | ||
+ | doi = {10.1109/ | ||
+ | year = {2018}, | ||
} | } | ||
Line 5682: | Line 5825: | ||
publisher = {Springer}, | publisher = {Springer}, | ||
year = 2013 | year = 2013 | ||
+ | } | ||
+ | |||
+ | @inproceedings{KuschkBC17, | ||
+ | author | ||
+ | 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}, | ||
} | } | ||
Line 5712: | Line 5868: | ||
year = {2008}, | year = {2008}, | ||
month | month | ||
+ | } | ||
+ | |||
+ | @article{DuranMSC16, | ||
+ | author | ||
+ | M. M{\" | ||
+ | C. Sbert and | ||
+ | D. Cremers}, | ||
+ | title = {On the Implementation of Collaborative {TV} Regularization: | ||
+ | to Cartoon+Texture Decomposition}, | ||
+ | journal | ||
+ | volume | ||
+ | pages = {27--74}, | ||
+ | year = {2016}, | ||
+ | } | ||
+ | |||
+ | @article{DuranMSC16, | ||
+ | author | ||
+ | M. M{\" | ||
+ | C. Sbert and | ||
+ | D. Cremers}, | ||
+ | title = {Collaborative Total Variation: {A} General Framework for Vectorial | ||
+ | {TV} Models}, | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {116--151}, | ||
+ | year = {2016}, | ||
+ | } | ||
+ | |||
+ | @article{BurgerGMEC16, | ||
+ | author | ||
+ | G. Gilboa and | ||
+ | M. M{\" | ||
+ | L. Eckardt and | ||
+ | D. Cremers}, | ||
+ | title = {Spectral Decompositions Using One-Homogeneous Functionals}, | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {1374--1408}, | ||
+ | year = {2016}, | ||
} | } | ||
Line 5828: | Line 6025: | ||
titleurl = {kee-cvpr14.pdf}, | titleurl = {kee-cvpr14.pdf}, | ||
topic = {Image Segmentation, | topic = {Image Segmentation, | ||
+ | } | ||
+ | |||
+ | @article{KeeLSCK17, | ||
+ | author | ||
+ | Y. Lee and | ||
+ | M. Souiai and | ||
+ | D. Cremers and | ||
+ | J. Kim}, | ||
+ | title = {Sequential Convex Programming for Computing Information-Theoretic | ||
+ | | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {1845--1877}, | ||
+ | year = {2017}, | ||
} | } | ||
Line 5850: | Line 6062: | ||
titleurl = {rodola-cgf14.pdf}, | titleurl = {rodola-cgf14.pdf}, | ||
titleurl = {consensus_demo.zip}, | titleurl = {consensus_demo.zip}, | ||
+ | } | ||
+ | |||
+ | @inproceedings{Cremers17, | ||
+ | author | ||
+ | title = {Direct methods for 3D reconstruction and visual {SLAM}}, | ||
+ | booktitle = {Fifteenth {IAPR} International Conference on Machine Vision Applications, | ||
+ | {MVA} 2017, Nagoya, Japan, May 8-12, 2017}, | ||
+ | pages = {34--38}, | ||
+ | publisher = {{IEEE}}, | ||
+ | year = {2017}, | ||
} | } | ||
Line 7116: | Line 7338: | ||
keywords = {convex relaxation, | keywords = {convex relaxation, | ||
} | } | ||
+ | |||
+ | @article{KeeLYCK15, | ||
+ | author | ||
+ | H. Lee and | ||
+ | J. Yim and | ||
+ | D. Cremers and | ||
+ | J. Kim}, | ||
+ | title = {Entropy Minimization for Groupwise Planar Shape Co-alignment and its | ||
+ | | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {1922--1926}, | ||
+ | year = {2015}, | ||
+ | } | ||
+ | |||
@inproceedings{stark-gcpr15, | @inproceedings{stark-gcpr15, | ||
author = {F. Stark and C. Hazirbas and R. Triebel and D. Cremers}, | author = {F. Stark and C. Hazirbas and R. Triebel and D. Cremers}, | ||
Line 7239: | Line 7477: | ||
author = {E. Rodola and L. Cosmo and M. M. Bronstein and A. Torsello and D. Cremers}, | author = {E. Rodola and L. Cosmo and M. M. Bronstein and A. Torsello and D. Cremers}, | ||
title = {Partial Functional Correspondence}, | title = {Partial Functional Correspondence}, | ||
- | year = {2016}, | + | |
+ | number | ||
+ | pages = {222--236}, | ||
+ | | ||
journal = {Computer Graphics Forum}, | journal = {Computer Graphics Forum}, | ||
publisher = {Wiley}, | publisher = {Wiley}, | ||
Line 7249: | Line 7490: | ||
author = {L. Cosmo and E. Rodola and A. Albarelli and F. Memoli and D. Cremers}, | 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}, | title = {Consistent Partial Matching of Shape Collections via Sparse Modeling}, | ||
- | year = {2016}, | + | year = {2017}, |
+ | volume | ||
+ | number | ||
+ | pages = {209--221}, | ||
journal = {Computer Graphics Forum}, | journal = {Computer Graphics Forum}, | ||
publisher = {Wiley}, | publisher = {Wiley}, | ||
Line 7264: | Line 7508: | ||
volume = {35}, | volume = {35}, | ||
number = {2}, | number = {2}, | ||
+ | pages = {431--441}, | ||
topic = {Shape Analysis, Shape Matching}, | topic = {Shape Analysis, Shape Matching}, | ||
} | } | ||
- | + | @inproceedings{MayerIHFCDB16, | |
- | + | author | |
- | + | E. Ilg and | |
- | @InProceedings{sceneflownet-arxiv, | + | P. H{\" |
- | author | + | P. Fischer and |
- | title = "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation", | + | D. Cremers and |
- | booktitle | + | A. Dosovitskiy and |
- | | + | T. Brox}, |
- | | + | title |
- | | + | Flow, and Scene Flow Estimation}, |
- | | + | booktitle = {2016 {IEEE} Conference on Computer Vision and Pattern Recognition, |
- | keywords | + | {CVPR} |
+ | | ||
+ | | ||
+ | | ||
} | } | ||
Line 7447: | Line 7695: | ||
volume = {35}, | volume = {35}, | ||
number = {5}, | number = {5}, | ||
+ | pages = {135--143}, | ||
award = {Received the Best Paper Award at SGP 2016}, | award = {Received the Best Paper Award at SGP 2016}, | ||
year = {2016}, | year = {2016}, | ||
Line 7507: | Line 7756: | ||
keywords={convex-optimization, | keywords={convex-optimization, | ||
note = {{<a href="/ | note = {{<a href="/ | ||
+ | } | ||
+ | |||
+ | @inproceedings{BenderCK16, | ||
+ | author | ||
+ | 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, | ||
+ | | ||
+ | pages = {52--57}, | ||
+ | publisher = {{IEEE}}, | ||
+ | year = {2016}, | ||
} | } | ||
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@InProceedings{walch16spatialstms, | @InProceedings{walch16spatialstms, | ||
- | | + | |
- | | + | |
- | | + | |
- | | + | |
- | | + | |
- | | + | |
title = " | title = " | ||
month = " | month = " | ||
Line 7684: | Line 7946: | ||
@InProceedings{slavcheva-et-al-cvpr17, | @InProceedings{slavcheva-et-al-cvpr17, | ||
- | author = "Miroslava | + | author = "M. Slavcheva and |
- | Maximilian | + | M. Baust and |
- | Daniel | + | D. Cremers and |
- | Slobodan | + | S. Ilic", |
title = " | title = " | ||
booktitle = cvpr, | booktitle = cvpr, | ||
Line 7717: | Line 7979: | ||
year = {2017}, | year = {2017}, | ||
doi = {10.1007/ | doi = {10.1007/ | ||
+ | } | ||
+ | |||
+ | @inproceedings{BenderRSCK16, | ||
+ | author | ||
+ | F. Rouatbi and | ||
+ | M. Schikora and | ||
+ | D. Cremers and | ||
+ | W. Koch}, | ||
+ | title = {Scaling the world of monocular {SLAM} with INS-measurements for {UAS} | ||
+ | | ||
+ | booktitle = {19th International Conference on Information Fusion, {FUSION} 2016, | ||
+ | | ||
+ | pages = {1493--1500}, | ||
+ | publisher = {{IEEE}}, | ||
+ | year = {2016}, | ||
} | } | ||
Line 7770: | Line 8047: | ||
@InProceedings{meinhardt17learning, | @InProceedings{meinhardt17learning, | ||
- | | + | |
- | Michael | + | M. Moeller and |
- | Caner Hazirbas and | + | C. Hazirbas and |
- | Daniel | + | D. Cremers", |
title = {Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems}, | title = {Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems}, | ||
month = " | month = " | ||
Line 7783: | Line 8060: | ||
@InProceedings{hazirbas18ddff, | @InProceedings{hazirbas18ddff, | ||
- | | + | |
title = {{Deep Depth From Focus}}, | title = {{Deep Depth From Focus}}, | ||
year = " | year = " | ||
Line 7813: | Line 8090: | ||
author = "N. Yang and R. Wang and X. Gao and D. Cremers", | author = "N. Yang and R. Wang and X. Gao and D. Cremers", | ||
title = " | title = " | ||
- | journal = "IEEE Robotics and Automation Letters (RA-L)", | + | journal = " |
volume = {3}, | volume = {3}, | ||
issue = {4}, | issue = {4}, | ||
Line 7822: | Line 8099: | ||
titleurl = {yang18challenges.pdf}, | titleurl = {yang18challenges.pdf}, | ||
keywords={Brightness; | keywords={Brightness; | ||
- | note = {{This paper was also selected by IROS' | + | note = {{<a href=" |
} | } | ||
@article{krieg2017genetic, | @article{krieg2017genetic, | ||
title={Genetic defects in ß-spectrin and tau sensitize C. elegans axons to movement-induced damage via torque-tension coupling}, | title={Genetic defects in ß-spectrin and tau sensitize C. elegans axons to movement-induced damage via torque-tension coupling}, | ||
- | author={Krieg, Michael | + | author={M. Krieg and J. St\" |
journal={eLife}, | journal={eLife}, | ||
volume={6}, | volume={6}, | ||
Line 7838: | Line 8115: | ||
@article{krieg2017tau, | @article{krieg2017tau, | ||
title={Tau Like Proteins Reduce Torque Generation in Microtubule Bundles}, | title={Tau Like Proteins Reduce Torque Generation in Microtubule Bundles}, | ||
- | author={Krieg, Michael | + | author={M. Krieg and J. St\" |
journal={Biophysical Journal}, | journal={Biophysical Journal}, | ||
volume={112}, | volume={112}, | ||
Line 7925: | Line 8202: | ||
keywords={rgb-d, | keywords={rgb-d, | ||
note = {{<a href="/ | note = {{<a href="/ | ||
+ | } | ||
+ | |||
+ | @inproceedings{GeipingDC017, | ||
+ | author | ||
+ | H. Dirks and | ||
+ | D. Cremers and | ||
+ | M. M{\" | ||
+ | editor | ||
+ | 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 | ||
+ | volume | ||
+ | pages = {123--138}, | ||
+ | publisher = {Springer}, | ||
+ | year = {2017}, | ||
} | } | ||
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award = {Spotlight Presentation}, | award = {Spotlight Presentation}, | ||
titleurl = {sang2020wacv.pdf}, | titleurl = {sang2020wacv.pdf}, | ||
+ | note = { | ||
+ | {<a href="/ | ||
+ | {<a href="/ | ||
+ | {<a href=" | ||
+ | }, | ||
} | } | ||
@article{mukkamala2019arxiv, | @article{mukkamala2019arxiv, | ||
title={Bregman Proximal Framework for Deep Linear Neural Networks}, | title={Bregman Proximal Framework for Deep Linear Neural Networks}, | ||
- | author={Mahesh Chandra | + | author={M. C. |
journal = {arXiv preprint arXiv: | journal = {arXiv preprint arXiv: | ||
year = {2019}, | year = {2019}, | ||
Line 7986: | Line 8286: | ||
@article{brahimi2019springer, | @article{brahimi2019springer, | ||
title = {On well-posedness of uncalibrated photometric stereo under general lighting}, | title = {On well-posedness of uncalibrated photometric stereo under general lighting}, | ||
- | author = {Brahimi, | + | author = {M. Brahimi |
journal = {arXiv preprint arXiv: | journal = {arXiv preprint arXiv: | ||
year = {2019}, | year = {2019}, | ||
Line 7993: | Line 8293: | ||
eprintclass = {cs.CV}, | eprintclass = {cs.CV}, | ||
titleurl = {brahimi2019springer.pdf}, | titleurl = {brahimi2019springer.pdf}, | ||
+ | } | ||
+ | |||
+ | @inproceedings{DykeSLRABBBCFGG19, | ||
+ | author | ||
+ | C. Stride 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. L{\" | ||
+ | K. Li and | ||
+ | O. Litany and | ||
+ | T. Remez and | ||
+ | E. Rodol{\`{a}} 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 | ||
+ | | ||
+ | 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}, | ||
} | } | ||
Line 8019: | Line 8357: | ||
eprintclass = {cs.CV}, | eprintclass = {cs.CV}, | ||
year = {2019}, | year = {2019}, | ||
- | titleurl = {haefner2019.pdf}, | + | titleurl = {haefner2019iccv.pdf}, |
note = { | note = { | ||
- | {<a href="/ | + | {<a href="/ |
- | {<a href="/ | + | {<a href="/ |
{<a href=" | {<a href=" | ||
{<a href=" | {<a href=" | ||
+ | {<a href=" | ||
}, | }, | ||
keywords={d-reconstruction, | keywords={d-reconstruction, | ||
Line 8030: | Line 8369: | ||
- | @article{laude2019jota, | + | @article{laude2020jota, |
title = {Bregman Proximal Mappings and Bregman-Moreau Envelopes under Relative Prox-Regularity}, | title = {Bregman Proximal Mappings and Bregman-Moreau Envelopes under Relative Prox-Regularity}, | ||
| | ||
| | ||
- | note="to appear" | + | volume={184}, |
- | year = {2019}, | + | |
+ | | ||
+ | year = {2020}, | ||
eprint = {1907.04306}, | eprint = {1907.04306}, | ||
eprinttype = {arXiv}, | eprinttype = {arXiv}, | ||
Line 8041: | Line 8382: | ||
} | } | ||
- | @article{haefner2019tpami, | + | @article{haefner2020tpami, |
- | title = {Photometric Depth Super-Resolution}, | + | title = {Photometric Depth Super-Resolution}, |
- | | + | author = {Haefner, B. and Peng, S. and Verma, A. and Quéau, Y. and Cremers, D.}, |
- | | + | journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, |
- | year = {2019}, | + | title={Photometric Depth Super-Resolution}, |
+ | year={2020}, | ||
+ | volume={42}, | ||
+ | number={10}, | ||
+ | pages={2453-2464}, | ||
eprint = {1809.10097}, | eprint = {1809.10097}, | ||
eprinttype = {arXiv}, | eprinttype = {arXiv}, | ||
eprintclass = {cs.CV}, | eprintclass = {cs.CV}, | ||
- | titleurl = {haefner2018.pdf}, | + | titleurl = {haefner2020tpami.pdf}, |
note = { | note = { | ||
- | {<a href="/ | + | {<a href="/ |
{<a href=" | {<a href=" | ||
{<a href=" | {<a href=" | ||
}, | }, | ||
keywords={rgb-d, | keywords={rgb-d, | ||
+ | } | ||
+ | |||
+ | @article{MoellerBSC15, | ||
+ | author | ||
+ | M. Benning and | ||
+ | C. Sch{\" | ||
+ | D. Cremers}, | ||
+ | title = {Variational Depth From Focus Reconstruction}, | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {5369--5378}, | ||
+ | year = {2015}, | ||
} | } | ||
Line 8169: | Line 8527: | ||
note = {{<a href=" | note = {{<a href=" | ||
doi = {10.1007/ | doi = {10.1007/ | ||
+ | } | ||
+ | |||
+ | @article{RodolaMC17, | ||
+ | author | ||
+ | | ||
+ | | ||
+ | title = {Regularized Pointwise Map Recovery from Functional Correspondence}, | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {700--711}, | ||
+ | year = {2017}, | ||
+ | } | ||
+ | |||
+ | @article{Cremers17, | ||
+ | author | ||
+ | title = {Computer Vision f{\" | ||
+ | | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {205--209}, | ||
+ | year = {2017}, | ||
+ | } | ||
+ | |||
+ | @article{BringmannCKM18, | ||
+ | author | ||
+ | | ||
+ | Felix Krahmer and | ||
+ | | ||
+ | title = {The homotopy method revisited: Computing solution paths of L1-regularized | ||
+ | | ||
+ | journal | ||
+ | volume | ||
+ | number | ||
+ | pages = {2343--2364}, | ||
+ | year = {2018}, | ||
} | } | ||
Line 8175: | Line 8570: | ||
title = {{Variational Reflectance Estimation from Multi-view Images}}, | title = {{Variational Reflectance Estimation from Multi-view Images}}, | ||
doi = {10.1007/ | doi = {10.1007/ | ||
+ | volume | ||
+ | number | ||
+ | pages = {1527--1546}, | ||
year = " | year = " | ||
| | ||
Line 8213: | Line 8611: | ||
year = " | year = " | ||
titleurl = {laude-2018-discrete-continuous.pdf} | titleurl = {laude-2018-discrete-continuous.pdf} | ||
+ | } | ||
+ | |||
+ | @inproceedings{DomokosSC18, | ||
+ | author | ||
+ | Frank R. Schmidt and | ||
+ | | ||
+ | editor | ||
+ | | ||
+ | | ||
+ | Yair Weiss}, | ||
+ | title = {{MRF} Optimization with Separable Convex Prior on Partially Ordered | ||
+ | | ||
+ | booktitle = {Computer Vision - {ECCV} 2018 - 15th European Conference, Munich, | ||
+ | | ||
+ | series | ||
+ | volume | ||
+ | pages = {341--356}, | ||
+ | publisher = {Springer}, | ||
+ | year = {2018}, | ||
} | } | ||
Line 8239: | Line 8656: | ||
year = {2017} | year = {2017} | ||
} | } | ||
+ | |||
+ | @inproceedings{SconaJPFC18, | ||
+ | author | ||
+ | | ||
+ | Yvan R. Petillot and | ||
+ | | ||
+ | | ||
+ | title = {StaticFusion: | ||
+ | | ||
+ | booktitle = {2018 {IEEE} International Conference on Robotics and Automation, {ICRA} | ||
+ | 2018, Brisbane, Australia, May 21-25, 2018}, | ||
+ | pages = {1--9}, | ||
+ | publisher = {{IEEE}}, | ||
+ | year = {2018}, | ||
+ | } | ||
+ | |||
@article{Kukacka-et-al-2017, | @article{Kukacka-et-al-2017, | ||
Line 8294: | Line 8727: | ||
booktitle = {bioRxiv preprint}, | booktitle = {bioRxiv preprint}, | ||
keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, deeplearning, | keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, deeplearning, | ||
+ | } | ||
+ | |||
+ | @article{Golkov-et-al-2020-ROC, | ||
+ | author = {V. Golkov and A. Becker and D. T. Plop and D. \v{C}uturilo 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: | ||
+ | eprint = {2007.07029}, | ||
+ | eprinttype = {arXiv}, | ||
+ | keywords = {deep learning, drug discovery, virtual screening, neural networks, machine learning, QSAR, classification, | ||
} | } | ||
Line 8316: | Line 8759: | ||
} | } | ||
- | + | @article{mayer18synthetic, | |
- | + | ||
- | + | ||
- | + | ||
- | + | ||
- | + | ||
- | + | ||
- | @InProceedings{mayer18synthetic, | + | |
author = {Nikolaus Mayer and Eddy Ilg and Philipp Fischer and Caner Hazirbas and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox}, | author = {Nikolaus Mayer and Eddy Ilg and Philipp Fischer and Caner Hazirbas and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox}, | ||
title = {What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? | title = {What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? | ||
booktitle= ijcv, | booktitle= ijcv, | ||
- | year = {2018}, | + | |
+ | number | ||
+ | pages = {1797--1812}, | ||
+ | year = {2019}, | ||
+ | year = {2018}, | ||
month = {September}, | month = {September}, | ||
eprint = {arXiv: | eprint = {arXiv: | ||
Line 8459: | Line 8899: | ||
} | } | ||
- | @InProceedings{eisenberger2019divfree, | + | @article{eisenberger2019divfree, |
author = "M. Eisenberger and Z. L\" | author = "M. Eisenberger and Z. L\" | ||
title = " | title = " | ||
booktitle = " | booktitle = " | ||
- | arXiv = " arXiv: | ||
year = " | year = " | ||
+ | volume={38}, | ||
+ | number={5}, | ||
+ | pages={1-12}, | ||
month = " | month = " | ||
note = {{<a href=" | note = {{<a href=" | ||
Line 8590: | Line 9032: | ||
} | } | ||
- | @article{tjaden2018region, | + | @article{tjaden2019region, |
title={A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking}, | title={A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking}, | ||
author={Tjaden, | author={Tjaden, | ||
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, | journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, | ||
- | year={2018}, | + | |
+ | number | ||
+ | pages = {1797--1812}, | ||
+ | | ||
titleurl = {tjaden_et_al_pami18.pdf} | titleurl = {tjaden_et_al_pami18.pdf} | ||
} | } | ||
Line 8664: | Line 9109: | ||
titleurl = {moellenh-cvpr-19.pdf}, | titleurl = {moellenh-cvpr-19.pdf}, | ||
award = {Oral Presentation}, | award = {Oral Presentation}, | ||
- | note = {{<a href=" | + | note = {{<a href=" |
} | } | ||
Line 8696: | Line 9141: | ||
} | } | ||
- | @article{wang19DirectShape, | + | @InProceedings{wang2020directshape, |
- | author = "R. Wang and N. Yang and J. Stueckler and D. Cremers", | + | author={R. Wang and N. Yang and J. Stueckler and D. Cremers}, |
- | title = "DirectShape: | + | title={DirectShape: |
- | | + | |
- | year = " | + | year={2020}, |
- | note = {{<a href=" | + | note={{< |
- | keywords = {stereo, 3D reconstruction, | + | keywords={stereo, |
} | } | ||
Line 8734: | Line 9179: | ||
} | } | ||
- | @article{gn-net-19, | + | @article{gn-net-2020, |
author = "L. von Stumberg and P. Wenzel and Q. Khan and D. Cremers", | author = "L. von Stumberg and P. Wenzel and Q. Khan and D. Cremers", | ||
title = " | title = " | ||
- | journal = {preprint}, | + | journal = {IEEE Robotics and Automation Letters (RA-L) & International Conference on Robotics and Automation (ICRA)}, |
- | year = "2019", | + | year = "2020", |
+ | volume={5}, | ||
+ | number={2}, | ||
+ | pages={890-897}, | ||
note = {{<a href=" | note = {{<a href=" | ||
keywords = {gn-net} | keywords = {gn-net} | ||
} | } | ||
- | @article{eisenberger2019smoothshells, | + | @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 = " | ||
+ | volume={5}, | ||
+ | number={2}, | ||
+ | pages={1764-1771}, | ||
+ | eprint = {2001.07360}, | ||
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {cs.CV}, | ||
+ | doi = {10.1109/ | ||
+ | } | ||
+ | |||
+ | @inproceedings{eisenberger2019smoothshells, | ||
author = "M. Eisenberger and Z. L\" | author = "M. Eisenberger and Z. L\" | ||
title = " | title = " | ||
- | | + | |
- | year = "2019", | + | year = "2020", |
- | | + | |
+ | note = {<a href=" | ||
+ | } | ||
+ | |||
+ | @inproceedings{eisenberger2020hamiltonian, | ||
+ | author = "M. Eisenberger and D. Cremers", | ||
+ | title = " | ||
+ | booktitle = " | ||
+ | year = " | ||
+ | award = {Spotlight Presentation}, | ||
+ | note = {<a href=" | ||
+ | } | ||
+ | |||
+ | @inproceedings{Weiss-et-al-cvpr2020, | ||
+ | author = "S. Weiss and R. Maier and D. Cremers and R. Westermann and N. Thuerey", | ||
+ | title = " | ||
+ | booktitle = "IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)", | ||
+ | year = " | ||
+ | titleurl = {Weiss_et_al_cvpr2020.pdf}, | ||
} | } | ||
Line 8810: | Line 9291: | ||
@InBook{vi-dso-chapter, | @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}, | + | chapter = "Multimodal Scene Understanding", |
- | publisher = {Elsevier}, | + | publisher = " |
- | year = {2019} | + | pages = " |
+ | year = "2019", | ||
+ | doi = " | ||
+ | isbn = " | ||
} | } | ||
+ | |||
+ | @Inbook{usenko2020_tumflyers, | ||
+ | author=" | ||
+ | editor=" | ||
+ | title=" | ||
+ | chapter=" | ||
+ | year=" | ||
+ | publisher=" | ||
+ | address=" | ||
+ | pages=" | ||
+ | isbn=" | ||
+ | doi=" | ||
+ | } | ||
+ | |||
@InProceedings{sommer19spline, | @InProceedings{sommer19spline, | ||
Line 8824: | Line 9322: | ||
eprinttype = {arXiv}, | eprinttype = {arXiv}, | ||
eprintclass = {cs.CV}, | eprintclass = {cs.CV}, | ||
- | | + | |
- | year = " | + | booktitle=cvpr, |
+ | year = {2020}, | ||
+ | award = {Oral Presentation}, | ||
+ | keywords=lie-spline | ||
} | } | ||
Line 8838: | Line 9339: | ||
} | } | ||
+ | @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=cvpr, | ||
+ | year = {2020}, | ||
+ | eprint = {2003.01060}, | ||
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {cs.CV}, | ||
+ | award = {Oral Presentation}, | ||
+ | keywords = {dso,dvso, deep learning, deeplearning, | ||
+ | } | ||
+ | |||
+ | @InProceedings{fontan20information, | ||
+ | author | ||
+ | title = " | ||
+ | booktitle=cvpr, | ||
+ | year=2020, | ||
+ | award = {Oral Presentation}, | ||
+ | } | ||
+ | |||
+ | @InProceedings{sundermeyer20multi, | ||
+ | author | ||
+ | title = " | ||
+ | booktitle=cvpr, | ||
+ | year=2020, | ||
+ | } | ||
+ | |||
+ | @InProceedings{wenger20nonparametric, | ||
+ | author = "J. Wenger and H. Kjellstr\" | ||
+ | title = " | ||
+ | booktitle = {International Conference on Artificial | ||
+ | Intelligence and Statistics (AISTATS)}, | ||
+ | year = {2020}, | ||
+ | } | ||
+ | |||
+ | @InProceedings{lee20visual, | ||
+ | author = " J. Lee and R. Balachandran and Y. Sarkisov and M. De Stefano and A. Coelho and K. Shinde and M. J. Kim and R. Triebel and K. Kondak", | ||
+ | title = " | ||
+ | booktitle = icra, | ||
+ | year = {2020}, | ||
+ | } | ||
+ | |||
+ | @InProceedings{steidle19visual, | ||
+ | author = "F. Steidle and W. St\" | ||
+ | title = " | ||
+ | booktitle = " 11th International Micro Air Vehicle Competition and Conference (IMAV)", | ||
+ | year = {2019}, | ||
+ | } | ||
+ | | ||
+ | |||
+ | @InProceedings{feng19introspective, | ||
+ | author = "J. Feng and M. Durner and Z.-C. Marton and F. Balint-Benczedi and R. Triebel", | ||
+ | title = " | ||
+ | booktitle = " | ||
+ | year = {2019} | ||
+ | } | ||
+ | | ||
+ | | ||
+ | | ||
+ | @ARTICLE{giubilato20relocalization, | ||
+ | author = { R. Giubilato and M. Vayugundla and M. Schuster and W. St\" | ||
+ | title = {Relocalization With Submaps: Multi-Session Mapping for Planetary Rovers Equipped With Stereo Cameras}, | ||
+ | journal = "IEEE Robotics and Automation Letters", | ||
+ | volume = " | ||
+ | number = " | ||
+ | pages = " 580--587", | ||
+ | year = {2020}, | ||
+ | } | ||
+ | |||
+ | @ARTICLE{sundermeyer19augmented, | ||
+ | author={ M. Sundermeyer and Z. Marton and M. Durner and R. Triebel}, | ||
+ | title={Augmented Autoencoders: | ||
+ | journal=ijcv, | ||
+ | year={2019}, | ||
+ | } | ||
+ | |||
+ | @ARTICLE{lutz20ardea, | ||
+ | author={P. Lutz and M. G. M\" | ||
+ | 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. M\" | ||
+ | title = " | ||
+ | booktitle = {International Conference on Artificial | ||
+ | Intelligence and Statistics (AISTATS)}, | ||
+ | year = {2020}, | ||
+ | titleurl = {ye-et-al-combinatorial-20.pdf}, | ||
+ | note = { | ||
+ | {<a href=" | ||
+ | }, | ||
+ | } | ||
+ | |||
+ | @phdthesis{maier2020dissertation, | ||
+ | author={R. Maier}, | ||
+ | title={High-Quality {3D} Reconstruction from Low-Cost {RGB-D} Sensors}, | ||
+ | type={Dissertation}, | ||
+ | school={Technische Universit\" | ||
+ | address={M\" | ||
+ | year={2020} | ||
+ | } | ||
+ | |||
+ | @inbook{maier2020rgbdvision, | ||
+ | title={{RGB-D Vision}}, | ||
+ | author={R. Maier and D. Cremers}, | ||
+ | chapter={Encyclopedia of Robotics}, | ||
+ | editor={Ang, | ||
+ | year={2020}, | ||
+ | publisher={Springer Berlin Heidelberg}, | ||
+ | address={Berlin, | ||
+ | pages={1--11}, | ||
+ | isbn={978-3-642-41610-1}, | ||
+ | doi={10.1007/ | ||
+ | url={https:// | ||
+ | } | ||
+ | |||
+ | @Inbook{Moeller2018, | ||
+ | author=" | ||
+ | and Cremers, Daniel", | ||
+ | editor=" | ||
+ | title=" | ||
+ | bookTitle=" | ||
+ | year=" | ||
+ | publisher=" | ||
+ | address=" | ||
+ | pages=" | ||
+ | titleurl = {moeller_cremers2020_denoising_old_and_new.pdf}, | ||
+ | } | ||
+ | |||
+ | |||
+ | |||
+ | @inproceedings{lee2020estimating, | ||
+ | author = " | ||
+ | title = " | ||
+ | booktitle = icml, | ||
+ | year = {2020} | ||
+ | } | ||
+ | |||
+ | @inproceedings{liu2020effective, | ||
+ | title={Effective Version Space Reduction for Convolutional Neural Networks}, | ||
+ | author={Liu, | ||
+ | journal={arXiv preprint arXiv: | ||
+ | year={2020}, | ||
+ | booktitle=ecml, | ||
+ | note={{< | ||
+ | } | ||
+ | |||
+ | @inproceedings{denninger20scene, | ||
+ | title={{3D} Scene Reconstruction from a Single Viewport}, | ||
+ | author={Maximilian Denninger and Rudolph Triebel}, | ||
+ | year={2020}, | ||
+ | booktitle=eccv, | ||
+ | note={to appear}, | ||
+ | } | ||
+ | |||
+ | @inproceedings{du2020dh3d, | ||
+ | author = "J. Du and R. Wang and D. Cremers", | ||
+ | title = "DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization", | ||
+ | booktitle = " | ||
+ | year = " | ||
+ | award = {Spotlight Presentation}, | ||
+ | note={{< | ||
+ | keywords={SLAM, | ||
+ | } | ||
+ | |||
+ | @inproceedings{sewtz20robust, | ||
+ | title={Robust {MUSIC}-Based Sound Source Localization in Reverberant and Echoic Environments}, | ||
+ | author={Marco Sewtz and Tim Bodenm\" | ||
+ | year={2020}, | ||
+ | booktitle=iros, | ||
+ | note={to appear}, | ||
+ | } | ||
+ | |||
+ | @inproceedings{legentil20gaussian, | ||
+ | title={Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments}, | ||
+ | author={Cedric Le Gentil and Mallikarjuna Vayugundla and Riccardo Giubilato and Wolfgang St\" | ||
+ | year={2020}, | ||
+ | booktitle=iros, | ||
+ | note={to appear}, | ||
+ | } | ||
+ | |||
+ | @InProceedings{sommer20primitect, | ||
+ | author={C. Sommer and Y. Sun and E. Bylow and D. Cremers}, | ||
+ | title={PrimiTect: | ||
+ | booktitle=icra, | ||
+ | eprint = {2005.07457}, | ||
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {cs.CV}, | ||
+ | year={2020} | ||
+ | } |