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Computer Vision Group
Faculty of Informatics
Technical University of Munich

Technical University of Munich

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Journal Articles
2015
The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings (T. Möllenhoff, E. Strekalovskiy, M. Möller, D. Cremers), In SIAM Journal on Imaging Sciences, volume 8, 2015. [bib] [pdf]
2014
Convex Relaxation of Vectorial Problems with Coupled Regularization (E. Strekalovskiy, A. Chambolle, D. Cremers), In SIAM Journal on Imaging Sciences, volume 7, 2014. [bib] [pdf]
2013
Tight Convex Relaxations for Vector-Valued Labeling (B. Goldluecke, E. Strekalovskiy, D. Cremers), In SIAM Journal on Imaging Sciences, volume 6, 2013. [bib] [pdf]
2012
Total Cyclic Variation and Generalizations (D. Cremers, E. Strekalovskiy), In Journal of Mathematical Imaging and Vision, volume 47, 2012. [bib] [pdf]
The Natural Total Variation Which Arises from Geometric Measure Theory (B. Goldluecke, E. Strekalovskiy, D. Cremers), In SIAM Journal on Imaging Sciences, volume 5, 2012. [bib] [pdf]
2009
Folgen von Höhenfußpunktdreiecken und ihre Grenzpunkte (E. Strekalovskiy), In Elemente der Mathematik, volume 64, 2009. [bib]
Conference and Workshop Papers
2015
Low Rank Priors for Color Image Regularization (T. Möllenhoff, E. Strekalovskiy, M. Möller, D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2015. [bib] [pdf]
2014
Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional (E. Strekalovskiy, D. Cremers), In European Conference on Computer Vision (ECCV), 2014. (Code available) [bib] [pdf] [video]
2013
Proportion Priors for Image Sequence Segmentation (C. Nieuwenhuis, E. Strekalovskiy, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2013. (oral presentation) [bib] [pdf] [video]
Total Variation Regularization for Functions with Values in a Manifold (J. Lellmann, E. Strekalovskiy, S. Koetter, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2013. [bib] [pdf]
A Co-occurrence Prior for Continuous Multi-Label Optimization (M. Souiai, E. Strekalovskiy, C. Nieuwenhuis, D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2013. [bib] [pdf]
Convex Optimization for Scene Understanding (M. Souiai, C. Nieuwenhuis, E. Strekalovskiy, D. Cremers), In ICCV Workshop on Graphical Models for Scene Understanding, 2013. [bib] [pdf]
2012
A Convex Representation for the Vectorial Mumford-Shah Functional (E. Strekalovskiy, A. Chambolle, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. [bib] [pdf]
Nonmetric Priors for Continuous Multilabel Optimization (E. Strekalovskiy, C. Nieuwenhuis, D. Cremers), In European Conference on Computer Vision (ECCV), Springer, 2012. [bib] [pdf]
2011
Generalized Ordering Constraints for Multilabel Optimization (E. Strekalovskiy, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2011. (oral presentation) [bib] [pdf]
Tight Convex Relaxations for Vector-Valued Labeling Problems (E. Strekalovskiy, B. Goldluecke, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2011. [bib] [pdf]
Total Variation for Cyclic Structures: Convex Relaxation and Efficient Minimization (E. Strekalovskiy, D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. [bib] [pdf]
Other Publications
2013
Label Configuration Priors for Continuous Multi-Label Optimization (M. Souiai, E. Strekalovskiy, C. Nieuwenhuis, D. Cremers), 2013. [bib] [pdf]
2011
Conference Report - CVPR 2011 (E. Strekalovskiy), KI - Künstliche Intelligenz, volume 25, 2011. [bib] [pdf]
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Computer Vision Group

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