J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, pp. 1-30, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, Int.~J.~Comp.~Vision, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for StructuredDiscrete Energy Minimization Problems?, CoRR, 2014.

F.  Lenzen, Lellmann, J., Becker, F., and Schnörr, C., ?Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets?, SIAM J. Imag. Sci., vol. 7, pp. 2139?2174, 2014.

F.  Lenzen, Lellmann, J., Becker, F., and Schnörr, C., ?Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets?, SIAM J.~Imag.~Sci., vol. 7, p. 2139--2174, 2014.

F.  Lenzen, Lellmann, J., Becker, F., and Schnörr, C., ?Solving QVIs for Image Restoration with Adaptive Constraint Sets?, SIAM Journal on Imaging Sciences (SIIMS), in press, 2014.

F.  Lenzen, Becker, F., and Lellmann, J., ?Adaptive Second-Order Total Variation: An Approach Aware of SlopeDiscontinuities?, in Proceedings of the 4th International Conference on Scale Space andVariational Methods in Computer Vision SSVM, 2013, vol. 7893, pp. 61-73.

F.  Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., ?A Class of Quasi-Variational Inequalities for Adaptive Image Denoisingand Decomposition?, Computational Optimization and Applications (COAP), vol. 54 (2), pp. 371-398, 2013.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Sungwoong, K., Kausler, B. X., Lellmann, J., Komodakis, N., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems?, in CVPR 2013. Proceedings, 2013.

J.  Lellmann, Lellmann, B., Widmann, F., and Schnörr, C., ?Discrete and Continuous Models for Partitioning Problems?, Int.~J.~Comp.~Visionz, vol. 104, pp. 241-269, 2013.

J.  Lellmann and Schnörr, C., ?Continuous Multiclass Labeling Approaches and Algorithms?, SIAM J.~Imag.~Sci., vol. 4, pp. 1049-1096, 2011.

J.  Lellmann and Schnörr, C., ?Continuous Multiclass Labeling Approaches and Algorithms?, CoRR, vol. abs/1102.5448, 2011.

J.  Lellmann, Lenzen, F., and Schnörr, C., ?Optimality Bounds for a Variational Relaxation of the Image PartitioningProblem?, in Energy Min. Meth. Comp. Vis. Patt. Recogn., 2011, pp. 132-146.

J.  Lellmann and Schnörr, C., ?Regularizers for Vector-Valued Data and Labeling Problems in Image Processing?, Control Systems and Computers, vol. 2, pp. 43?54, 2011.

F.  Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., ?Variational Image Denoising with Adaptive Constraint Sets?, in Proceedings of the 3nd International Conference on Scale Space andVariational Methods in Computer Vision 2011, in press, 2011, vol. 6667, pp. 206-217.

J.  Lellmann and Schnörr, C., ?Continuous Multiclass Labeling Approaches and Algorithms?, Univ. of Heidelberg, 2010.

J.  Lellmann, Breitenreicher, D., and Schnörr, C., ?Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision?, in European Conference on Computer Vision (ECCV), 2010, vol. 6312, p. 494--505.

J.  Lellmann, Breitenreicher, D., and Schnörr, C., ?Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision?, in European Conference on Computer Vision (ECCV), 2010, vol. 6312, pp. 494?505.

J.  Lellmann, Lenzen, F., and Schnörr, C., ?Optimality Bounds for Variational Relaxations of Optimal PartitionProblems?, 2010.

J.  Lellmann, Kappes, J. H., Yuan, J., Becker, F., and Schnörr, C., ?Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation?, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 150-162.

J.  Lellmann, Kappes, J. H., Yuan, J., Becker, F., Schnörr, C., Mórken, K., and Lysaker, M., ?Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation?, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 150-162.

J.  Lellmann, Becker, F., and Schnörr, C., ?Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers?, in IEEE International Conference on Computer Vision (ICCV), 2009, p. 646 -- 653.

J.  Lellmann, Becker, F., and Schnörr, C., ?Convex Optimization for Multi-Class Image Labeling with a Novel Familyof Total Variation Based Regularizers?, in Proceedings of the IEEE Conference on Computer Vision (ICCV 09) Kyoto, Japan, 2009, pp. 646-653.

J.  Lellmann, Kappes, J. H., Yuan, J., Becker, F., and Schnörr, C., ?Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation?, IWR, University of Heidelberg, 2008.