Evgeny Strekalovskiy
Evgeny Strekalovskiy
Verified email at in.tum.de
TitleCited byYear
The natural vectorial total variation which arises from geometric measure theory
B Goldluecke, E Strekalovskiy, D Cremers
SIAM Journal on Imaging Sciences 5 (2), 537-563, 2012
1172012
Total Variation Regularization for Functions with Values in a Manifold
J Lellmann, E Strekalovskiy, S Koetter, D Cremers
International Conference on Computer Vision (ICCV), 2013
652013
Generalized ordering constraints for multilabel optimization
E Strekalovskiy, D Cremers
International Conference on Computer Vision (ICCV), 2011
502011
Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional
E Strekalovskiy, D Cremers
European Conference on Computer Vision (ECCV), 127-141, 2014
412014
Total variation for cyclic structures: Convex relaxation and efficient minimization
E Strekalovskiy, D Cremers
Computer Vision and Pattern Recognition (CVPR), 2011
412011
A convex representation for the vectorial Mumford-Shah functional
E Strekalovskiy, A Chambolle, D Cremers
Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2012
382012
The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings
T Möllenhoff, E Strekalovskiy, M Moeller, D Cremers
arXiv preprint arXiv:1407.1723, 2014
372014
Tight convex relaxations for vector-valued labeling problems
E Strekalovskiy, B Goldluecke, D Cremers
International Conference on Computer Vision (ICCV), 2011
332011
Total cyclic variation and generalizations
D Cremers, E Strekalovskiy
Journal of Mathematical Imaging and Vision 47 (3), 258-277, 2012
322012
Tight convex relaxations for vector-valued labeling
B Goldluecke, E Strekalovskiy, D Cremers
SIAM Journal on Imaging Science 6 (3), 1626–1664, 2013
282013
Convex relaxation of vectorial problems with coupled regularization
E Strekalovskiy, A Chambolle, D Cremers
SIAM Journal on Imaging Sciences, 2014
232014
Low rank priors for color image regularization
T Möllenhoff, E Strekalovskiy, M Möller, D Cremers
International Workshop on Energy Minimization Methods in Computer Vision and …, 2015
222015
Proportion priors for image sequence segmentation
C Nieuwenhuis, E Strekalovskiy, D Cremers
International Conference on Computer Vision (ICCV), 2013
152013
Nonmetric priors for continuous multilabel optimization
E Strekalovskiy, C Nieuwenhuis, D Cremers
European Conference on Computer Vision (ECCV), 2012
142012
Convex Optimization for Scene Understanding
M Souiai, C Nieuwenhuis, E Strekalovskiy, D Cremers
ICCV Workshop on Graphical Models for Scene Understanding, 2013
42013
A co-occurrence prior for continuous multi-Label optimization
M Souiai, E Strekalovskiy, C Nieuwenhuis, D Cremers
Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2013
42013
Lifting methods for manifold-valued variational problems
T Vogt, E Strekalovskiy, D Cremers, J Lellmann
arXiv preprint arXiv:1908.03776, 2019
12019
Convex Relaxation of Variational Models with Applications in Image Analysis
E Strekalovskiy
Technische Universität München, 2015
12015
A First Order Primal-Dual Algorithm for Nonconvex TV^q Regularization
T Möllenhoff, E Strekalovskiy, D Cremers
Technical Report - Technical University Munich, 2014
2014
Label configuration priors for continuous multi-label optimization
M Souiai, E Strekalovskiy, C Nieuwenhuis, D Cremers
Technical Report - Technical University Munich, 2013
2013
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