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