| Transforming an arbitrary minsum problem into a binary one D Schlesinger, B Flach TU, Fak. Informatik, 2006 | 152 | 2006 |
| Exact solution of permuted submodular minsum problems D Schlesinger International Workshop on Energy Minimization Methods in Computer Vision and …, 2007 | 71 | 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 | 50 | 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 | 26* | 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 | 26 | 2015 |
| VAE approximation error: ELBO and exponential families A Shekhovtsov, D Schlesinger, B Flach arXiv preprint arXiv:2102.09310, 2021 | 20 | 2021 |
| 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 2, 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 Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2008 | 15 | 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 | 13 | 2017 |
| Strukturelle ansätze für die stereorekonstruktion D Shlezinger | 10 | 2005 |
| A higher order MRF-model for stereo-reconstruction D Schlesinger, B Flach, A Shekhovtsov Joint Pattern Recognition Symposium, 440-446, 2004 | 10 | 2004 |
| Semantic segmentation of settlement patterns in gray-scale map images using RF and CRF within an HPC environment D Schemala, D Schlesinger, P Winkler, H Herold, G Meinel 6th International Conference on Geographic Object-Based Image Analysis …, 2016 | 9 | 2016 |
| 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 |
| Modelling composite shapes by Gibbs random fields. B Flach, D Schlesinger CVPR, 2177-2182, 2011 | 7 | 2011 |
| A probabilistic segmentation scheme D Schlesinger, B Flach Joint Pattern Recognition Symposium, 183-192, 2008 | 7 | 2008 |
| General search algorithms for energy minimization problems D Schlesinger International Workshop on Energy Minimization Methods in Computer Vision and …, 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 |
| Enhancing fairness of visual attribute predictors T Hänel, N Kumar, D Schlesinger, M Li, E Ünal, A Eslami, S Gumhold Proceedings of the Asian conference on computer vision, 1211-1227, 2022 | 3 | 2022 |
Carsten RotherProfessor Uni Heidelberg / GermanyEmail yang diverifikasi di iwr.uni-heidelberg.de