F.  Aström and Schnörr, C., ?Double-Opponent Vectorial Total Variation?, in Proc. ECCV, 2016.

J.  Yuan, Ruhnau, P., Mémin, E., and Schnörr, C., ?Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation?, in Scale-Space 2005, 2005, vol. 3459, pp. 267?278.

T.  Schüle, Schnörr, C., Weber, S., and Hornegger, J., ?Discrete Tomography By Convex-Concave Regularization and D.C. Programming?, Discr. Appl. Math., vol. 151, pp. 229-243, 2005.

T.  Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., ?Domain decomposition for variational optical flow computation?, IEEE Trans. Image Proc., vol. 14, pp. 1125-1137, 2005.

T.  Schüle, Schnörr, C., Weber, S., and Hornegger, J., ?Discrete Tomography By Convex-Concave Regularization and D.C. Programming?, Dept. Math. and Comp. Science, University of Mannheim, Germany, 15, 2003.

T.  Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., ?Domain Decomposition for Parallel Variational Optical Flow Computation?, in Pattern Recognition, Proc. 25th DAGM Symposium, 2003, vol. 2781, pp. 196?203.

T.  Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., ?Domain Decomposition for Variational Optical Flow Computation?, Dept. Math. and Comp. Science, University of Mannheim, Germany, 07/2003, 2003.

K.  Wiehler, Grigat, R. ?R., Heers, J., Schnörr, C., and Stiehl, H. S., ?Dynamic Circular Cellular Networks for Adaptive Smoothing of Multi?Dimensional Signals?, in Proc. 5th IEEE Int. Workshop on Cellular Neural Networks and their Applications, London, 1998.

R.  Sprengel, Schnörr, C., and Neumann, B., ?Detection of Visual Data Transitions in Nonlinear Parameter Space?, in Mustererkennung 1994, 1994, vol. 5, pp. 315?323.

C.  Schnörr, ?Determining Optical Flow for Irregular Domains by Minimizing Quadratic Functionals of a Certain Class?, ijcv, vol. 6, pp. 25?38, 1991.