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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
2102008
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
1612017
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
912008
Scalable multi-view stereo
M Jancosek, A Shekhovtsov, T Pajdla
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009
502009
A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel
ASV Hlavac
International Journal of Computer Vision, 28, 2012
48*2012
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
412016
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
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
372012
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
322015
Feed-forward propagation in probabilistic neural networks with categorical and max layers
A Shekhovtsov, B Flach
International conference on learning representations, 2018
28*2018
Complexity of discrete energy minimization problems
M Li, A Shekhovtsov, D Huber
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
252016
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
242020
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
232016
Maximum persistency in energy minimization
A Shekhovtsov
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
222014
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
212018
VAE Approximation Error: ELBO and Exponential Families
BF Alexander Shekhovtsov, Dmitrij Schlesinger
International Conference on Learning Representations, 2022
18*2022
Path sample-analytic gradient estimators for stochastic binary networks
A Shekhovtsov, V Yanush, B Flach
Advances in neural information processing systems 33, 12884-12894, 2020
182020
Stochastic normalizations as bayesian learning
A Shekhovtsov, B Flach
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
182019
Generalized differentiable RANSAC
T Wei, Y Patel, A Shekhovtsov, J Matas, D Barath
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
162023
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
162020
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