Christoph Schnörr
Christoph Schnörr
Professor of Mathematics and Computer Science, Heidelberg University
Bestätigte E-Mail-Adresse bei math.uni-heidelberg.de
Titel
Zitiert von
Zitiert von
Jahr
Lucas/Kanade meets Horn/Schunck: Combining local and global optic flow methods
A Bruhn, J Weickert, C Schnörr
International journal of computer vision 61 (3), 211-231, 2005
14872005
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 (3), 295-313, 2002
4432002
A theoretical framework for convex regularizers in PDE-based computation of image motion
J Weickert, C Schnörr
International Journal of Computer Vision 45 (3), 245-264, 2001
3942001
Variational optic flow computation with a spatio-temporal smoothness constraint
J Weickert, C Schnörr
Journal of mathematical imaging and vision 14 (3), 245-255, 2001
3492001
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
321*2015
Shape statistics in kernel space for variational image segmentation
D Cremers, T Kohlberger, C Schnörr
Pattern Recognition 36 (9), 1929-1943, 2003
3102003
Combined SVM-based feature selection and classification
J Neumann, C Schnörr, G Steidl
Machine learning 61 (1-3), 129-150, 2005
2522005
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
2142005
Nonlinear shape statistics in mumford—shah based segmentation
D Cremers, T Kohlberger, C Schnörr
European Conference on Computer Vision, 93-108, 2002
2132002
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 (3), 257-277, 2006
2082006
Towards recognition-based variational segmentation using shape priors and dynamic labeling
D Cremers, N Sochen, C Schnörr
International Conference on Scale-Space Theories in Computer Vision, 388-400, 2003
1792003
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
1672008
Variational fluid flow measurements from image sequences: synopsis and perspectives
D Heitz, E Mémin, C Schnörr
Experiments in fluids 48 (3), 369-393, 2010
1662010
A bayesian framework for multi-cue 3d object tracking
J Giebel, DM Gavrila, C Schnörr
European Conference on Computer Vision, 241-252, 2004
1662004
Convex multi-class image labeling by simplex-constrained total variation
J Lellmann, J Kappes, J Yuan, F Becker, C Schnörr
International conference on scale space and variational methods in computer …, 2009
1582009
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 (1-2), 93, 2010
1552010
Variational optical flow estimation for particle image velocimetry
P Ruhnau, T Kohlberger, C Schnörr, H Nobach
Experiments in Fluids 38 (1), 21-32, 2005
1522005
Spectral clustering of linear subspaces for motion segmentation
F Lauer, C Schnörr
2009 IEEE 12th International Conference on Computer Vision, 678-685, 2009
1492009
Beamforming in noninvasive brain–computer interfaces
M Grosse-Wentrup, C Liefhold, K Gramann, M Buss
IEEE Transactions on Biomedical Engineering 56 (4), 1209-1219, 2009
1482009
Probabilistic subgraph matching based on convex relaxation
C Schellewald, C Schnörr
International Workshop on Energy Minimization Methods in Computer Vision and …, 2005
1452005
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