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% generated by bibtexbrowser % % Encoding: UTF-8 @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}, }