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.

F.  Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., ?A class of quasi-variational inequalities for adaptive image denoising and decomposition?, Computational Optimization and Applications, vol. 54, pp. 371-398, 2013.

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, 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, 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, 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, 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.