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 Lellmann, J, Kappes, J H, Yuan, J, Becker, F and Schn\'f6rr, C (2009). Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation. Scale Space and Variational Methods in Computer Vision (SSVM 2009). Springer. 5567 150-162\par \par  Lellmann, J, Kappes, J H, Yuan, J, Becker, F, Schn\'f6rr, C, M\'f3rken, K and Lysaker, M (2009). Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation. Scale Space and Variational Methods in Computer Vision (SSVM 2009). Springer. 5567 150-162\par \par  Lellmann, J, Kappes, J H, Yuan, J, Becker, F and Schn\'f6rr, C (2008). Convex Multi-Class Image Labeling By Simplex-Constrained Total Variation. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/8759/\par \par  Becker, F, Wieneke, B, Yuan, J and Schn\'f6rr, C (2008). A Variational Approach to Adaptive Correlation for Motion Estimationin Particle Image Velocimetry". Pattern Recognition -- 30th DAGM Symposium. 5096 335-344\par \par  Becker, F, Wieneke, B, Yuan, J and Schn\'f6rr, C (2008). Variational Correlation Approach to Flow Measurement with WindowAdaption. 14th International Symposium on Applications of Laser Techniquesto Fluid Mechanics. 1.1.8\par \par  Yuan, J, Schn\'f6rr, C and M\'e9min, E (2007). Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. J.~Math.~Imag.~Vision. 28 67-80\par \par  Yuan, J, Schn\'f6rr, C and Steidl, G (2007). Simultaneous Optical Flow Estimation and Decomposition. SIAM J.~Scientific Computing. 29 2283-2304\par \par  Yuan, J, Schn\'f6rr, C and Steidl, G (2007). Simultaneous Optical Flow Estimation and Decomposition. SIAM J. Scientific Computing. 29 2283-2304\par \par  Yuan, J, Ruhnau, P, M\'e9min, E and Schn\'f6rr, C (2005). Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. Scale-Space 2005. Springer. 3459 267?278\par \par  Yuan, J, Schn\'f6rr, C, Kohlberger, T and Ruhnau, P (2004). Convex Set-Based Estimation of Image Flows. ICPR 2004 ? 17th Int. Conf. on Pattern Recognition. IEEE, Cambridge, UK. 1 124-127\par \par }