| A comparative study of modern inference techniques for structured discrete energy minimization problems JH Kappes, B Andres, FA Hamprecht, C Schnörr, S Nowozin, D Batra, ... International Journal of Computer Vision 115, 155-184, 2015 | 241 | 2015 |
| A comparative study of modern inference techniques for discrete energy minimization problems J Kappes, B Andres, F Hamprecht, C Schnorr, S Nowozin, D Batra, S Kim, ... Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 222 | 2013 |
| 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 | 194 | 2007 |
| 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 |
| 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 |
| Probabilistic image segmentation with closedness constraints B Andres, JH Kappes, T Beier, U Köthe, FA Hamprecht 2011 International Conference on Computer Vision, 2611-2618, 2011 | 125 | 2011 |
| OpenGM: A C++ library for discrete graphical models B Andres, T Beier, JH Kappes arXiv preprint arXiv:1206.0111, 2012 | 116 | 2012 |
| Globally optimal image partitioning by multicuts JH Kappes, M Speth, B Andres, G Reinelt, C Schn Energy Minimization Methods in Computer Vision and Pattern Recognition: 8th …, 2011 | 106 | 2011 |
| A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling B Savchynskyy, J Kappes, S Schmidt, C Schnörr CVPR 2011, 1817-1823, 2011 | 75 | 2011 |
| A bundle approach to efficient MAP-inference by Lagrangian relaxation JH Kappes, B Savchynskyy, C Schnörr 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1688-1695, 2012 | 71 | 2012 |
| Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing B Savchynskyy, S Schmidt, J Kappes, C Schnörr Uncertainty in Artificial Intelligence, UAI-2012, 746--755, 2012 | 67 | 2012 |
| Higher-order segmentation via multicuts JH Kappes, M Speth, G Reinelt, C Schnörr Computer Vision and Image Understanding 143, 104-119, 2016 | 64 | 2016 |
| Cut, Glue & Cut: A Fast, Approximate Solver for Multicut Partitioning T Beier, T Kroeger, J Kappes, U Kothe, F Hamprecht Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 63 | 2014 |
| Fusion moves for correlation clustering T Beier, FA Hamprecht, JH Kappes Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 57 | 2015 |
| Towards efficient and exact MAP-inference for large scale discrete computer vision problems via combinatorial optimization J Hendrik Kappes, M Speth, G Reinelt, C Schnorr Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 45 | 2013 |
| The Lazy Flipper: Efficient Depth-limited Exhaustive Search in Discrete Graphical Models B Andres, JH Kappes, T Beier, U Köthe, FA Hamprecht ECCV 2012, 2012 | 39 | 2012 |
| An empirical comparison of inference algorithms for graphical models with higher order factors using OpenGM B Andres, JH Kappes, U Köthe, C Schnörr, FA Hamprecht Pattern Recognition: 32nd DAGM Symposium, Darmstadt, Germany, September 22 …, 2010 | 38 | 2010 |
| Partial optimality by pruning for MAP-inference with general graphical models P Swoboda, B Savchynskyy, JH Kappes, C Schnorr Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 37 | 2014 |
| Global MAP-optimality by shrinking the combinatorial search area with convex relaxation B Savchynskyy, JH Kappes, P Swoboda, C Schnörr Advances in Neural Information Processing Systems 26, 2013 | 32 | 2013 |
| Partial optimality via iterative pruning for the Potts model P Swoboda, B Savchynskyy, J Kappes, C Schnörr Scale Space and Variational Methods in Computer Vision: 4th International …, 2013 | 23 | 2013 |
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityVerified email at math.uni-heidelberg.de
