Lucas/Kanade meets Horn/Schunck: Combining local and global optic flow methods A Bruhn, J Weickert, C Schnörr International journal of computer vision 61, 211-231, 2005 | 1973 | 2005 |
Diffusion snakes: Introducing statistical shape knowledge into the Mumford-Shah functional D Cremers, F Tischhäuser, J Weickert, C Schnörr International journal of computer vision 50, 295-313, 2002 | 484 | 2002 |
A theoretical framework for convex regularizers in PDE-based computation of image motion J Weickert, C Schnörr International Journal of Computer Vision 45, 245-264, 2001 | 440 | 2001 |
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems J Kappes, B Andres, FA Hamprecht, C Schnörr, S Nowozin, D Batra, ... International Journal of Computer Vision 115 (2), 155-184, 2015 | 438* | 2015 |
Variational optic flow computation with a spatio-temporal smoothness constraint J Weickert, C Schnörr Journal of mathematical imaging and vision 14, 245-255, 2001 | 383 | 2001 |
Shape statistics in kernel space for variational image segmentation D Cremers, T Kohlberger, C Schnörr Pattern Recognition 36 (9), 1929-1943, 2003 | 344 | 2003 |
Combined SVM-based feature selection and classification J Neumann, C Schnörr, G Steidl Machine learning 61, 129-150, 2005 | 343 | 2005 |
Variational fluid flow measurements from image sequences: synopsis and perspectives D Heitz, E Mémin, C Schnörr Experiments in fluids 48, 369-393, 2010 | 268 | 2010 |
Variational optical flow computation in real time A Bruhn, J Weickert, C Feddern, T Kohlberger, C Schnorr IEEE Transactions on Image Processing 14 (5), 608-615, 2005 | 246 | 2005 |
Nonlinear shape statistics in mumford—shah based segmentation D Cremers, T Kohlberger, C Schnörr Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002 | 224 | 2002 |
A multigrid platform for real-time motion computation with discontinuity-preserving variational methods A Bruhn, J Weickert, T Kohlberger, C Schnörr International Journal of Computer Vision 70, 257-277, 2006 | 221 | 2006 |
Variational optical flow estimation for particle image velocimetry P Ruhnau, T Kohlberger, C Schnörr, H Nobach Experiments in Fluids 38, 21-32, 2005 | 215 | 2005 |
Towards recognition-based variational segmentation using shape priors and dynamic labeling D Cremers, N Sochen, C Schnörr Scale Space Methods in Computer Vision: 4th International Conference, Scale …, 2003 | 203 | 2003 |
Probabilistic subgraph matching based on convex relaxation C Schellewald, C Schnörr International Workshop on Energy Minimization Methods in Computer Vision and …, 2005 | 201 | 2005 |
Spine detection and labeling using a parts-based graphical model S Schmidt, J Kappes, M Bergtholdt, V Pekar, S Dries, D Bystrov, ... Information Processing in Medical Imaging: 20th International Conference …, 2007 | 192 | 2007 |
A bayesian framework for multi-cue 3d object tracking J Giebel, DM Gavrila, C Schnörr Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004 | 191 | 2004 |
Convex multi-class image labeling by simplex-constrained total variation J Lellmann, J Kappes, J Yuan, F Becker, C Schnörr Scale Space and Variational Methods in Computer Vision: Second International …, 2009 | 189 | 2009 |
Pedestrian detection and tracking using a mixture of view-based shape–texture models S Munder, C Schnorr, DM Gavrila IEEE Transactions on intelligent transportation systems 9 (2), 333-343, 2008 | 189 | 2008 |
A study of parts-based object class detection using complete graphs M Bergtholdt, J Kappes, S Schmidt, C Schnörr International journal of computer vision 87, 93-117, 2010 | 188 | 2010 |
Spectral clustering of linear subspaces for motion segmentation F Lauer, C Schnörr 2009 IEEE 12th International Conference on Computer Vision, 678-685, 2009 | 185 | 2009 |