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@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{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{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},
}
@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},
}
@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{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{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{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},
}
@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-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},
}
@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},
}
@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},
}
@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},
}
@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{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{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},
}
@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},
}
@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},
}
@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{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},
}
@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{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},
}
@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},
}
@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{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},
}
@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},
}