% generated by bibtexbrowser % % Encoding: UTF-8 @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{souiai-et-al-wiccv13, author = {M. Souiai and C. Nieuwenhuis and E. Strekalovskiy and D. Cremers}, title = {Convex Optimization for Scene Understanding}, booktitle = {ICCV Workshop on Graphical Models for Scene Understanding}, year = {2013}, titleurl = {souiai-et-al-wiccv13.pdf}, keywords = {segmentation}, } @techreport{souiai_tr_13, author = {M. Souiai and E. Strekalovskiy and C. Nieuwenhuis and D. Cremers}, title = {Label Configuration Priors for Continuous Multi-Label Optimization}, type = {Technical report}, school = {Computer Vision Group, TU Munich}, titleurl = {souiai_tr_13.pdf}, year = {2013}, topic = {Convex Relaxation Methods,Image Segmentation}, keywords = {convex-relaxation,label configuration priors,medical imaging}, } @article{StrekalovskiyEM, author = {E. Strekalovskiy}, title = {Folgen von H{\"o}henfu{\ss}punktdreiecken und ihre Grenzpunkte}, journal = {Elemente der Mathematik}, volume = {64}, pages = {53--70}, year = {2009}, number = {2}, } @inproceedings{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{SGC11:iccv, author = {E. Strekalovskiy and B. Goldluecke and D. Cremers}, title = {Tight Convex Relaxations for Vector-Valued Labeling Problems}, booktitle = {IEEE International Conference on Computer Vision (ICCV)}, year = {2011}, titleurl = {sgc11_iccv.pdf}, topic = {Convex Relaxation Methods, Optic Flow}, keywords = {convex-relaxation,optical-flow}, } @inproceedings{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{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{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{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}, } @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}, } @misc{Strekalovskiy-ki11, author = {E. Strekalovskiy}, title = {Conference Report - CVPR 2011}, howpublished = {KI - K\"{u}nstliche Intelligenz}, year = {2011}, volume = {25}, number = {4}, pages = {359--360}, } @inproceedings{souiai-et-al-emmcvpr13, author = {M. Souiai and E. Strekalovskiy and C. Nieuwenhuis and D. Cremers}, title = {A Co-occurrence Prior for Continuous Multi-Label Optimization}, booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)}, year = {2013}, topic = {Convex Relaxation Methods, Segmentation}, keywords = {convex-relaxation}, } @inproceedings{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}, } @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{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{moellenhoff-et-al-15, author = {T. Möllenhoff and E. Strekalovskiy and M. Möller and D. Cremers}, title = {Low Rank Priors for Color Image Regularization}, booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)}, year = {2015}, titleurl = {moellenhoff_et_al_15.pdf}, } @article{moellenhoff-siims-15, author = {T. Möllenhoff and E. Strekalovskiy and M. Möller and D. Cremers}, title = {The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings}, journal = {SIAM Journal on Imaging Sciences}, year = {2015}, volume = {8}, number = {2}, pages = {827-857}, titleurl = {moellenhoff_et_al_siims15.pdf}, }