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J. Lellmann, Becker, F., and Schnörr, C., Convex Optimization for Multi-Class Image Labeling with a Novel Family of 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., 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, Lenzen, F., and Schnörr, C., Optimality Bounds for Variational Relaxations of Optimal Partition Problems, 2010.
J. Lellmann, Lenzen, F., and Schnörr, C., Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem, in Energy Min. Meth. Comp. Vis. Patt. Recogn., 2011, pp. 132-146.
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.PDF icon Technical Report (930.18 KB)
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.PDF icon Technical Report (1.94 MB)
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.PDF icon Technical Report (1.75 MB)
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.PDF icon Technical Report (2.6 MB)
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.PDF icon Technical Report (4.74 MB)
J. Lellmann and Schnörr, C., Continuous Multiclass Labeling Approaches and Algorithms, SIAM J.~Imag.~Sci., vol. 4, pp. 1049-1096, 2011.PDF icon Technical Report (4.31 MB)
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 and Schnörr, C., Continuous Multiclass Labeling Approaches and Algorithms, CoRR, vol. abs/1102.5448, 2011.
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.
J. Lellmann and Schnörr, C., Continuous Multiclass Labeling Approaches and Algorithms, Univ. of Heidelberg, 2010.