Publications
] (2011). Variational Image Denoising with Adaptive Constraint Sets. Proceedings of the 3nd International Conference on Scale Space and
Variational Methods in Computer Vision 2011, in press. Springer. 6667 206-217
(2014). Solving QVIs for Image Restoration with Adaptive Constraint Sets. SIAM Journal on Imaging Sciences (SIIMS), in press
(2014). Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets. SIAM J.~Imag.~Sci. 7 2139--2174
Technical Report (802.13 KB)
Technical Report (802.13 KB) (2011). Regularizers for Vector-Valued Data and Labeling Problems in Image Processing. Control Systems and Computers. 2 43--54
(2011). Optimality Bounds for a Variational Relaxation of the Image Partitioning
Problem. Energy Min. Meth. Comp. Vis. Patt. Recogn. Springer. 132-146
(2010). Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision. European Conference on Computer Vision (ECCV). Springer Berlin / Heidelberg. 6312 494--505 Technical Report (1.94 MB)
Technical Report (1.94 MB) (2013). Discrete and Continuous Models for Partitioning Problems. Int.~J.~Comp.~Visionz. 104 241-269 Technical Report (4.74 MB)
Technical Report (4.74 MB) (2009). Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers. IEEE International Conference on Computer Vision (ICCV). 646 -- 653 Technical Report (930.18 KB)
Technical Report (930.18 KB) (2009). Convex Optimization for Multi-Class Image Labeling with a Novel Family
of Total Variation Based Regularizers. Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan. 646-653
(2009). Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation. Scale Space and Variational Methods in Computer Vision (SSVM 2009). Springer. 5567 150-162
(2008). Convex Multi-Class Image Labeling By Simplex-Constrained Total Variation. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/8759/ Technical Report (2.6 MB)
Technical Report (2.6 MB) (2009). Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation. Scale Space and Variational Methods in Computer Vision (SSVM 2009). Springer. 5567 150-162 Technical Report (1.75 MB)
Technical Report (1.75 MB) (2010). Continuous Multiclass Labeling Approaches And Algorithms. Univ. of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/10460/
(2011). Continuous Multiclass Labeling Approaches and Algorithms. SIAM J.~Imag.~Sci. 4 1049-1096 Technical Report (4.31 MB)
Technical Report (4.31 MB) (2011). Continuous Multiclass Labeling Approaches and Algorithms. CoRR. abs/1102.5448. http://arxiv.org/abs/1102.5448
(2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 1-30 Technical Report (1.5 MB)
Technical Report (1.5 MB) (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int.~J.~Comp.~Vision Technical Report (5.12 MB)
Technical Report (5.12 MB) (2014). A Comparative Study of Modern Inference Techniques for Structured
Discrete Energy Minimization Problems. CoRR. http://arxiv.org/abs/1404.0533
(2013). A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR 2013. Proceedings Technical Report (1.35 MB)
Technical Report (1.35 MB) (2013). A Class of Quasi-Variational Inequalities for Adaptive Image Denoising
and Decomposition. Computational Optimization and Applications (COAP). 54 (2) 371-398
(2013). Adaptive Second-Order Total Variation: An Approach Aware of Slope
Discontinuities. Proceedings of the 4th International Conference on Scale Space and
Variational Methods in Computer Vision SSVM. Springer. 7893 61-73