Evgeny Strekalovskiy

According to our database, Evgeny Strekalovskiy authored at least 18 papers between 2011 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Lifting methods for manifold-valued variational problems.

Thomas Vogt, Evgeny Strekalovskiy, Daniel Cremers, Jan Lellmann

CoRR, 2019

2015

Convex Relaxation of Variational Models with Applications in Image Analysis.

Evgeny Strekalovskiy

PhD thesis, 2015

The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings.

Thomas Möllenhoff, Evgeny Strekalovskiy, Michael Möller, Daniel Cremers

SIAM J. Imaging Sci., 2015

2014

Convex Relaxation of Vectorial Problems with Coupled Regularization.

Evgeny Strekalovskiy, Antonin Chambolle, Daniel Cremers

SIAM J. Imaging Sci., 2014

Low Rank Priors for Color Image Regularization.

Thomas Möllenhoff, Evgeny Strekalovskiy, Michael Möller, Daniel Cremers

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional.

Evgeny Strekalovskiy, Daniel Cremers

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Tight Convex Relaxations for Vector-Valued Labeling.

Bastian Goldluecke, Evgeny Strekalovskiy, Daniel Cremers

SIAM J. Imaging Sci., 2013

Total Cyclic Variation and Generalizations.

Daniel Cremers, Evgeny Strekalovskiy

J. Math. Imaging Vis., 2013

Convex Optimization for Scene Understanding.

Mohamed Souiai, Claudia Nieuwenhuis, Evgeny Strekalovskiy, Daniel Cremers

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Proportion Priors for Image Sequence Segmentation.

Claudia Nieuwenhuis, Evgeny Strekalovskiy, Daniel Cremers

Proceedings of the IEEE International Conference on Computer Vision, 2013

Total Variation Regularization for Functions with Values in a Manifold.

Jan Lellmann, Evgeny Strekalovskiy, Sabrina Koetter, Daniel Cremers

Proceedings of the IEEE International Conference on Computer Vision, 2013

A Co-occurrence Prior for Continuous Multi-label Optimization.

Mohamed Souiai, Evgeny Strekalovskiy, Claudia Nieuwenhuis, Daniel Cremers

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

2012

The Natural Vectorial Total Variation Which Arises from Geometric Measure Theory.

Bastian Goldlücke, Evgeny Strekalovskiy, Daniel Cremers

SIAM J. Imaging Sci., 2012

Nonmetric Priors for Continuous Multilabel Optimization.

Evgeny Strekalovskiy, Claudia Nieuwenhuis, Daniel Cremers

Proceedings of the Computer Vision - ECCV 2012, 2012

A convex representation for the vectorial Mumford-Shah functional.

Evgeny Strekalovskiy, Antonin Chambolle, Daniel Cremers

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Tight convex relaxations for vector-valued labeling problems.

Evgeny Strekalovskiy, Bastian Goldlücke, Daniel Cremers

Proceedings of the IEEE International Conference on Computer Vision, 2011

Generalized ordering constraints for multilabel optimization.

Evgeny Strekalovskiy, Daniel Cremers

Proceedings of the IEEE International Conference on Computer Vision, 2011

Total variation for cyclic structures: Convex relaxation and efficient minimization.

Evgeny Strekalovskiy, Daniel Cremers

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011