| Efficient MRF deformation model for non-rigid image matching A Shekhovtsov, I Kovtun, V Hlaváč Computer Vision and Image Understanding 112 (1), 91-99, 2008 | 198 | 2008 |
| On partial optimality in multi-label MRFs P Kohli, A Shekhovtsov, C Rother, V Kolmogorov, P Torr Proceedings of the 25th international conference on Machine learning, 480-487, 2008 | 88 | 2008 |
| End-to-end training of hybrid CNN-CRF models for stereo P Knobelreiter, C Reinbacher, A Shekhovtsov, T Pock Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 84 | 2017 |
| Evaluation of the implementation of the 1988 Ministerial Declaration regarding nutrient load reductions in the Baltic Sea catchment area A Lääne, H Pitkänen, B Arheimer, H Behrendt, W Jarosinski, S Lucane, ... Finnish Environment Institute, 2002 | 48 | 2002 |
| Scalable multi-view stereo M Jancosek, A Shekhovtsov, T Pajdla 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 45 | 2009 |
| A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel ASV Hlavac International Journal of Computer Vision, 28, 2012 | 39* | 2012 |
| Curvature prior for MRF-based segmentation and shape inpainting A Shekhovtsov, P Kohli, C Rother Joint DAGM (German Association for Pattern Recognition) and OAGM Symposium …, 2012 | 35 | 2012 |
| Partial optimality by pruning for MAP-inference with general graphical models P Swoboda, A Shekhovtsov, JH Kappes, C Schnoerr, B Savchynskyy IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 38 (7), 1370–1382, 2016 | 34 | 2016 |
| Maximum persistency via iterative relaxed inference with graphical models A Shekhovtsov, P Swoboda, S Bogdan IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (7), 1668 …, 2017 | 26 | 2017 |
| Automated integer programming based separation of arteries and veins from thoracic CT images C Payer, M Pienn, Z Bálint, A Shekhovtsov, E Talakic, E Nagy, ... Medical image analysis 34, 109-122, 2016 | 26 | 2016 |
| Multi-scale convolutional architecture for semantic segmentation A Raj, D Maturana, S Scherer Robotics Institute, Carnegie Mellon University, Tech. Rep. CMU-RITR-15-21, 2015 | 26* | 2015 |
| Measuring performance in real time during remote human-robot operations with adjustable autonomy D Schreckenghost, T Milam, T Fong IEEE Intelligent Systems 25 (5), 36-45, 2010 | 24 | 2010 |
| Maximum persistency in energy minimization A Shekhovtsov Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 20 | 2014 |
| Complexity of discrete energy minimization problems M Li, A Shekhovtsov, D Huber European Conference on Computer Vision, 834-852, 2016 | 17 | 2016 |
| Solving dense image matching in real-time using discrete-continuous optimization A Shekhovtsov, C Reinbacher, G Graber, T Pock arXiv preprint arXiv:1601.06274, 2016 | 17 | 2016 |
| LP-relaxation of binarized energy minimization A Shekhovtsov, V Kolmogorov, P Kohli, V Hlavác, C Rother, P Torr Research Report CTU–CMP–2007–27, Czech Technical University, 2008 | 14 | 2008 |
| Joint M-best-diverse labelings as a parametric submodular minimization A Kirillov, A Shekhovtsov, C Rother, B Savchynskyy arXiv preprint arXiv:1606.07015, 2016 | 11 | 2016 |
| Joint M-best-diverse labelings as a parametric submodular minimization A Kirillov, A Shekhovtsov, C Rother, B Savchynskyy arXiv preprint arXiv:1606.07015, 2016 | 11 | 2016 |
| Binary-tree-based high speed packet classification system on FPGA J Li, Y Chen, C Ho, Z Lu The International Conference on Information Networking 2013 (ICOIN), 517-522, 2013 | 11 | 2013 |
| On partial opimality by auxiliary submodular problems A Shekhovtsov, V Hlavác arXiv preprint arXiv:1109.1149, 2011 | 11 | 2011 |
Vaclav HlavacProfessor of engineering cybernetics, Czech Technical university in PragueVerified email at cvut.cz
