Alexander Shekhovtsov
Titel
Zitiert von
Zitiert von
Jahr
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
1992008
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
962017
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
892008
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
502002
Scalable multi-view stereo
M Jancosek, A Shekhovtsov, T Pajdla
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009
452009
A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel
ASV Hlavac
International Journal of Computer Vision, 28, 2012
41*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
362016
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
362012
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
292016
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
282017
Maximum persistency in energy minimization
A Shekhovtsov
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
202014
Complexity of discrete energy minimization problems
M Li, A Shekhovtsov, D Huber
European Conference on Computer Vision, 834-852, 2016
192016
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
172016
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
On partial opimality by auxiliary submodular problems
A Shekhovtsov, V Hlavác
arXiv preprint arXiv:1109.1149, 2011
122011
Stochastic normalizations as bayesian learning
A Shekhovtsov, B Flach
Asian Conference on Computer Vision, 463-479, 2018
112018
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, 334-342, 2016
112016
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, 334-342, 2016
112016
Unified framework for semiring-based arc consistency and relaxation labeling
T Werner, A Shekhovtsov
Verlag der Technischen Universität Graz, 2007
112007
Exact and partial energy minimization in computer vision
A Shekhovtsov
102013
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