| Transforming an arbitrary minsum problem into a binary one D Schlesinger, B Flach TU, Fak. Informatik, 2006 | 143 | 2006 |
| Exact solution of permuted submodular minsum problems D Schlesinger Energy Minimization Methods in Computer Vision and Pattern Recognition: 6th …, 2007 | 68 | 2007 |
| Inferring M-best diverse labelings in a single one A Kirillov, B Savchynskyy, D Schlesinger, D Vetrov, C Rother Proceedings of the IEEE International Conference on Computer Vision, 1814-1822, 2015 | 45 | 2015 |
| Unifying registration and segmentation for multi-sensor images B Flach, E Kask, D Schlesinger, A Skulish Pattern Recognition: 24th DAGM Symposium Zurich, Switzerland, September 16 …, 2002 | 30 | 2002 |
| Joint training of generic CNN-CRF models with stochastic optimization A Kirillov, D Schlesinger, S Zheng, B Savchynskyy, PHS Torr, C Rother Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 27* | 2017 |
| M-best-diverse labelings for submodular energies and beyond A Kirillov, D Shlezinger, DP Vetrov, C Rother, B Savchynskyy Advances in Neural Information Processing Systems 28, 2015 | 21 | 2015 |
| Efficient likelihood learning of a generic CNN-CRF model for semantic segmentation A Kirillov, D Schlesinger, W Forkel, A Zelenin, S Zheng, P Torr, C Rother arXiv preprint arXiv:1511.05067, 2015 | 20 | 2015 |
| Gibbs probability distributions for stereo reconstruction D Schlesinger Pattern Recognition: 25th DAGM Symposium, Magdeburg, Germany, September 10 …, 2003 | 16 | 2003 |
| Combining shape priors and MRF-segmentation B Flach, D Schlesinger Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2008 | 14 | 2008 |
| Crowd sourcing image segmentation with iastaple D Schlesinger, F Jug, G Myers, C Rother, D Kainmüller 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 10 | 2017 |
| Strukturelle ansätze für die stereorekonstruktion D Shlezinger | 10 | 2005 |
| A higher order MRF-model for stereo-reconstruction D Schlesinger, B Flach, A Shekhovtsov Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 …, 2004 | 9 | 2004 |
| Modelling composite shapes by Gibbs random fields. B Flach, D Schlesinger CVPR, 2177-2182, 2011 | 8 | 2011 |
| Best labeling search for a class of higher order gibbs models B Flach, D Schlesinger PATTERN RECOGNITION AND IMAGE ANALYSIS C/C OF RASPOZNAVANIYE OBRAZOV I …, 2004 | 8 | 2004 |
| A probabilistic segmentation scheme D Schlesinger, B Flach Lecture Notes in Computer Science 5096, 183-192, 2008 | 7 | 2008 |
| General search algorithms for energy minimization problems D Schlesinger Energy Minimization Methods in Computer Vision and Pattern Recognition: 7th …, 2009 | 4 | 2009 |
| Extraction of filled-in data from colour forms I Aksak, C Feist, V Kiiko, R Knoefel, V Matsello, V Oganovskij, ... Computer Analysis of Images and Patterns: 7th International Conference, CAIP …, 1997 | 4 | 1997 |
| VAE Approximation Error: ELBO and Exponential Families A Shekhovtsov, D Schlesinger, B Flach arXiv preprint arXiv:2102.09310, 2021 | 3* | 2021 |
| Template based gibbs probability distributions for texture modeling and segmentation D Schlesinger Pattern Recognition: 28th DAGM Symposium, Berlin, Germany, September 12-14 …, 2006 | 3 | 2006 |
| Detection of the objects with given shape on the grey-valued pictures I Aksak, C Feist, V Kijko, R Knoefel, V Matsello, V Oganovskij, ... CAIP, 551-558, 1997 | 3 | 1997 |
Boris FlachAssociate Professor, Czech Technical University in PragueVerified email at cmp.felk.cvut.cz
