Total variation for cyclic structures: Convex relaxation and efficient minimization. - Evgeny Strekalovskiy; Daniel Cremers (CVPR, 2011)

Generalized ordering constraints for multilabel optimization. - Evgeny Strekalovskiy; Daniel Cremers (ICCV, 2011)

Tight convex relaxations for vector-valued labeling problems. - Evgeny Strekalovskiy; Bastian Goldlücke; Daniel Cremers (ICCV, 2011)

A convex representation for the vectorial Mumford-Shah functional. - Evgeny Strekalovskiy; Antonin Chambolle; Daniel Cremers (CVPR, 2012)

Nonmetric Priors for Continuous Multilabel Optimization. - Evgeny Strekalovskiy; Claudia Nieuwenhuis; Daniel Cremers (ECCV (7), 2012)

The Natural Vectorial Total Variation Which Arises from Geometric Measure Theory. - Bastian Goldlücke; Evgeny Strekalovskiy; Daniel Cremers (SIAM J. Imaging Sci., 2012)

A Co-occurrence Prior for Continuous Multi-label Optimization. - Mohamed Souiai; Evgeny Strekalovskiy; Claudia Nieuwenhuis; Daniel Cremers (EMMCVPR, 2013)

Total Variation Regularization for Functions with Values in a Manifold. - Jan Lellmann; Evgeny Strekalovskiy; Sabrina Koetter; Daniel Cremers (ICCV, 2013)

Proportion Priors for Image Sequence Segmentation. - Claudia Nieuwenhuis; Evgeny Strekalovskiy; Daniel Cremers (ICCV, 2013)

Convex Optimization for Scene Understanding. - Mohamed Souiai; Claudia Nieuwenhuis; Evgeny Strekalovskiy; Daniel Cremers (ICCV Workshops, 2013)

Total Cyclic Variation and Generalizations. - Daniel Cremers; Evgeny Strekalovskiy (J. Math. Imaging Vis., 2013)

Tight Convex Relaxations for Vector-Valued Labeling. - Bastian Goldluecke; Evgeny Strekalovskiy; Daniel Cremers (SIAM J. Imaging Sci., 2013)

Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional. - Evgeny Strekalovskiy; Daniel Cremers (ECCV (2), 2014)

Low Rank Priors for Color Image Regularization. - Thomas Möllenhoff; Evgeny Strekalovskiy; Michael Möller 001; Daniel Cremers (EMMCVPR, 2014)

Convex Relaxation of Vectorial Problems with Coupled Regularization. - Evgeny Strekalovskiy; Antonin Chambolle; Daniel Cremers (SIAM J. Imaging Sci., 2014)

The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings. - Thomas Möllenhoff; Evgeny Strekalovskiy; Michael Möller 001; Daniel Cremers (SIAM J. Imaging Sci., 2015)

Convex Relaxation of Variational Models with Applications in Image Analysis. - Evgeny Strekalovskiy (2015)

Lifting methods for manifold-valued variational problems. - Thomas Vogt; Evgeny Strekalovskiy; Daniel Cremers; Jan Lellmann (CoRR, 2019)