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Alexander Shekhovtsov
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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
2052008
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
1322017
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
902008
Scalable multi-view stereo
M Jancosek, A Shekhovtsov, T Pajdla
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009
482009
A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel
ASV Hlavac
International Journal of Computer Vision, 28, 2012
45*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
372016
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
352016
Curvature prior for MRF-based segmentation and shape inpainting
A Shekhovtsov, P Kohli, C Rother
Pattern Recognition: Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria …, 2012
352012
Maximum persistency via iterative relaxed inference with graphical models
A Shekhovtsov, P Swoboda, B Savchynskyy
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
302015
Complexity of discrete energy minimization problems
M Li, A Shekhovtsov, D Huber
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
232016
Feed-forward propagation in probabilistic neural networks with categorical and max layers
A Shekhovtsov, B Flach
International conference on learning representations, 2019
21*2019
Maximum persistency in energy minimization
A Shekhovtsov
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
212014
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
202016
MPLP++: Fast, parallel dual block-coordinate ascent for dense graphical models
S Tourani, A Shekhovtsov, C Rother, B Savchynskyy
Proceedings of the European Conference on Computer Vision (ECCV), 251-267, 2018
182018
Belief propagation reloaded: Learning bp-layers for labeling problems
P Knobelreiter, C Sormann, A Shekhovtsov, F Fraundorfer, T Pock
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
172020
Stochastic normalizations as bayesian learning
A Shekhovtsov, B Flach
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
152019
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
142008
Taxonomy of dual block-coordinate ascent methods for discrete energy minimization
S Tourani, A Shekhovtsov, C Rother, B Savchynskyy
International Conference on Artificial Intelligence and Statistics, 2775-2785, 2020
132020
Joint M-best-diverse labelings as a parametric submodular minimization
A Kirillov, A Shekhovtsov, C Rother, B Savchynskyy
Advances in Neural Information Processing Systems 29, 2016
132016
On partial opimality by auxiliary submodular problems
A Shekhovtsov, V Hlavác
arXiv preprint arXiv:1109.1149, 2011
122011
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