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Evgeny Strekalovskiy
Evgeny Strekalovskiy
Verified email at in.tum.de
Title
Cited by
Cited by
Year
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
1412012
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
922013
The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings
T Möllenhoff, E Strekalovskiy, M Moeller, D Cremers
arXiv preprint arXiv:1407.1723, 2014
762014
Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional
E Strekalovskiy, D Cremers
European Conference on Computer Vision (ECCV), 127-141, 2014
712014
Generalized ordering constraints for multilabel optimization
E Strekalovskiy, D Cremers
International Conference on Computer Vision (ICCV), 2011
622011
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
502012
Total variation for cyclic structures: Convex relaxation and efficient minimization
E Strekalovskiy, D Cremers
Computer Vision and Pattern Recognition (CVPR), 2011
462011
Total cyclic variation and generalizations
D Cremers, E Strekalovskiy
Journal of Mathematical Imaging and Vision 47 (3), 258-277, 2012
452012
Tight convex relaxations for vector-valued labeling problems
E Strekalovskiy, B Goldluecke, D Cremers
International Conference on Computer Vision (ICCV), 2011
422011
Tight convex relaxations for vector-valued labeling
B Goldluecke, E Strekalovskiy, D Cremers
SIAM Journal on Imaging Science 6 (3), 1626–1664, 2013
392013
Convex relaxation of vectorial problems with coupled regularization
E Strekalovskiy, A Chambolle, D Cremers
SIAM Journal on Imaging Sciences, 2014
352014
Low rank priors for color image regularization
T Möllenhoff, E Strekalovskiy, M Möller, D Cremers
Energy Minimization Methods in Computer Vision and Pattern Recognition: 10th …, 2015
282015
Proportion priors for image sequence segmentation
C Nieuwenhuis, E Strekalovskiy, D Cremers
International Conference on Computer Vision (ICCV), 2013
182013
Nonmetric priors for continuous multilabel optimization
E Strekalovskiy, C Nieuwenhuis, D Cremers
European Conference on Computer Vision (ECCV), 2012
182012
Lifting methods for manifold-valued variational problems
T Vogt, E Strekalovskiy, D Cremers, J Lellmann
Handbook of Variational Methods for Nonlinear Geometric Data, 95-119, 2020
92020
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
72013
Lifting methods for manifold-valued variational problems
T Vogt, E Strekalovskiy, D Cremers, J Lellmann
arXiv preprint arXiv:1908.03776, 2019
52019
Convex Optimization for Scene Understanding
M Souiai, C Nieuwenhuis, E Strekalovskiy, D Cremers
ICCV Workshop on Graphical Models for Scene Understanding, 2013
52013
Convex relaxation of variational models with applications in image analysis
E Strekalovskiy
Technische Universität München, 2015
32015
A First Order Primal-dual Algorithm for Nonconvex TVq [TVhochq] Regularization
T Möllenhoff, E Strekalovskiy, D Cremers
TUM Technische Universität München, Institut für Informatik, 2014
2014
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