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 Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int.~J.~Comp.~Vision\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 1-30\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kr\'f6ger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2014). A Comparative Study of Modern Inference Techniques for StructuredDiscrete Energy Minimization Problems. CoRR. http://arxiv.org/abs/1404.0533\par \par  Lenzen, F, Lellmann, J, Becker, F and Schn\'f6rr, C (2014). Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets. SIAM J. Imag. Sci. 7 2139?2174\par \par  Lenzen, F, Lellmann, J, Becker, F and Schn\'f6rr, C (2014). Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets. SIAM J.~Imag.~Sci. 7 2139--2174\par \par  Lenzen, F, Lellmann, J, Becker, F and Schn\'f6rr, C (2014). Solving QVIs for Image Restoration with Adaptive Constraint Sets. SIAM Journal on Imaging Sciences (SIIMS), in press\par \par  Lenzen, F, Becker, F and Lellmann, J (2013). Adaptive Second-Order Total Variation: An Approach Aware of SlopeDiscontinuities. Proceedings of the 4th International Conference on Scale Space andVariational Methods in Computer Vision SSVM. Springer. 7893 61-73\par \par  Lenzen, F, Becker, F, Lellmann, J, Petra, S and Schn\'f6rr, C (2013). A Class of Quasi-Variational Inequalities for Adaptive Image Denoisingand Decomposition. Computational Optimization and Applications (COAP). 54 (2) 371-398\par \par  Kappes, J H, Andres, B, Hamprecht, F A, Schn\'f6rr, C, Nowozin, S, Batra, D, Sungwoong, K, Kausler, B X, Lellmann, J, Komodakis, N and Rother, C (2013). A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR 2013. Proceedings\par \par  Lellmann, J, Lellmann, B, Widmann, F and Schn\'f6rr, C (2013). Discrete and Continuous Models for Partitioning Problems. Int.~J.~Comp.~Visionz. 104 241-269\par \par  Lellmann, J and Schn\'f6rr, C (2011). Continuous Multiclass Labeling Approaches and Algorithms. SIAM J.~Imag.~Sci. 4 1049-1096\par \par  Lellmann, J and Schn\'f6rr, C (2011). Continuous Multiclass Labeling Approaches and Algorithms. CoRR. abs/1102.5448. http://arxiv.org/abs/1102.5448\par \par  Lellmann, J, Lenzen, F and Schn\'f6rr, C (2011). Optimality Bounds for a Variational Relaxation of the Image PartitioningProblem. Energy Min. Meth. Comp. Vis. Patt. Recogn. Springer. 132-146\par \par  Lellmann, J and Schn\'f6rr, C (2011). Regularizers for Vector-Valued Data and Labeling Problems in Image Processing. Control Systems and Computers. 2 43?54\par \par  Lenzen, F, Becker, F, Lellmann, J, Petra, S and Schn\'f6rr, C (2011). Variational Image Denoising with Adaptive Constraint Sets. Proceedings of the 3nd International Conference on Scale Space andVariational Methods in Computer Vision 2011, in press. Springer. 6667 206-217\par \par  Lellmann, J and Schn\'f6rr, C (2010). Continuous Multiclass Labeling Approaches And Algorithms. Univ. of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/10460/\par \par  Lellmann, J, Breitenreicher, D and Schn\'f6rr, C (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\par \par  Lellmann, J, Breitenreicher, D and Schn\'f6rr, C (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\par \par  Lellmann, J, Lenzen, F and Schn\'f6rr, C (2010). Optimality Bounds for Variational Relaxations of Optimal PartitionProblems\par \par  Lellmann, J, Kappes, J H, Yuan, J, Becker, F and Schn\'f6rr, C (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\par \par  Lellmann, J, Kappes, J H, Yuan, J, Becker, F, Schn\'f6rr, C, M\'f3rken, K and Lysaker, M (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\par \par  Lellmann, J, Becker, F and Schn\'f6rr, C (2009). Convex Optimization for Multi-Class Image Labeling with a Novel Familyof Total Variation Based Regularizers. Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan. 646-653\par \par  Lellmann, J, Becker, F and Schn\'f6rr, C (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\par \par  Lellmann, J, Kappes, J H, Yuan, J, Becker, F and Schn\'f6rr, C (2008). Convex Multi-Class Image Labeling By Simplex-Constrained Total Variation. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/8759/\par \par }