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?, International Journal of Computer Vision, vol. 115, pp. 155?184, 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?, International Journal of Computer Vision, vol. 115, pp. 155?184, 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?, International Journal of Computer Vision, vol. 115, pp. 155?184, 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.

F.  Rathke and Schnörr, C., ?A Computational Approach to Log-Concave Density Estimation?, An. St. Univ. Ovidius Constanta, vol. 23, pp. 151-166, 2015.

F.  Rathke and Schnörr, C., ?A Computational Approach to Log-Concave Density Estimation?, An. St. Univ. Ovidius Constanta, vol. 23, pp. 151-166, 2015.

F.  Silvestri, Reinelt, G., and Schnörr, C., ?A Convex Relaxation Approach to the Affine Subspace Clustering Problem?, in Proc.~GCPR, 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.

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?, CoRR, vol. abs/1404.0533, 2014.

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.

D.  Breitenreicher, Lellmann, J., and Schnörr, C., ?COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis?, Optimization Methods and Software, vol. 28, pp. 1081-1094, 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. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Lellmann, J., Komodakis, N., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem?, in CVPR, 2013.

B.  Schmitzer and Schnörr, C., ?Contour Manifolds and Optimal Transport?. 2013.

P.  Swoboda and Schnörr, C., ?Convex Variational Image Restoration with Histogram Priors?, SIAM J.~Imag.~Sci., vol. 6, pp. 1719-1735, 2013.

S.  Petra, Schnörr, C., and Schröder, A., ?Critical Parameter Values and Reconstruction Propertiesof Discrete Tomography: Application to Experimental FluidDynamics?, Fundamenta Informaticae, vol. 125, p. 285--312, 2013.

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

J.  Yuan, Schnörr, C., and Steidl, G., ?Convex Hodge Decomposition and Regularization of Image Flows?, J.~Math.~Imag.~Vision, vol. 33, pp. 169-177, 2009.

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.

K.  Fundana, Heyden, A., Gosch, C., and Schnörr, C., ?Continuous Graph Cuts for Prior-Based Object Segmentation?, in 19th Int.~Conf.~Patt.~Recog.~(ICPR), 2008, p. 1--4.

J.  Yuan, Steidl, G., and Schnörr, C., ?Convex Hodge Decomposition of Image Flows?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 416--425.

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.

M.  Heiler and Schnörr, C., ?Controlling Sparseness in Non-negative Tensor Factorization?, in Computer Vision -- ECCV 2006, 2006, vol. 3951, pp. 56-67.

A.  Bruhn, Weickert, J., and Schnörr, C., ?Combining the Advantages of Local and Global Optic Flow Methods?, in Pattern Recognition, Proc. 24th DAGM Symposium, Zürich, Switzerland, 2002, vol. 2449, pp. 454?462.