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Bogdan Savchynskyy
Bogdan Savchynskyy
Group Leader at Heidelberg University, Germany
iwr.uni-heidelberg.de의 이메일 확인됨 - 홈페이지
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Instancecut: from edges to instances with multicut
A Kirillov, E Levinkov, B Andres, B Savchynskyy, C Rother
Proceedings of the IEEE conference on computer vision and pattern …, 2017
2942017
A comparative study of modern inference techniques for structured discrete energy minimization problems
JH Kappes, B Andres, FA Hamprecht, C Schnörr, S Nowozin, D Batra, ...
International Journal of Computer Vision 115 (2), 155-184, 2015
2362015
Conditional random fields meet deep neural networks for semantic segmentation: Combining probabilistic graphical models with deep learning for structured prediction
A Arnab, S Zheng, S Jayasumana, B Romera-Paredes, M Larsson, ...
IEEE Signal Processing Magazine 35 (1), 37-52, 2018
1562018
Global hypothesis generation for 6D object pose estimation
F Michel, A Kirillov, E Brachmann, A Krull, S Gumhold, B Savchynskyy, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1432017
A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling
B Savchynskyy, J Kappes, S Schmidt, C Schnörr
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011
752011
A bundle approach to efficient MAP-inference by Lagrangian relaxation
JH Kappes, B Savchynskyy, C Schnörr
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012
692012
Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing
B Savchynskyy, S Schmidt, J Kappes, C Schnörr
Uncertainty in Artificial Intelligence, UAI-2012, 746-755, 2012
642012
A study of lagrangean decompositions and dual ascent solvers for graph matching
P Swoboda, C Rother, H Abu Alhaija, D Kainmuller, B Savchynskyy
Proceedings of the IEEE conference on computer vision and pattern …, 2017
562017
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
492015
Partial optimality by pruning for MAP-inference with general graphical models
P Swoboda, B Savchynskyy, JH Kappes, C Schnörr
CVPR, 2014
382014
Discriminative learning of max-sum classifiers
V Franc, B Savchynskyy
The Journal of Machine Learning Research 9, 67-104, 2008
362008
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
332015
Discrete graphical models—an optimization perspective
B Savchynskyy
Foundations and Trends® in Computer Graphics and Vision 11 (3-4), 160-429, 2019
322019
Global MAP-optimality by shrinking the combinatorial search area with convex relaxation
B Savchynskyy, JH Kappes, P Swoboda, C Schnörr
Advances in Neural Information Processing Systems 26, 2013
322013
A dual ascent framework for Lagrangean decomposition of combinatorial problems
P Swoboda, J Kuske, B Savchynskyy
Proceedings of the IEEE conference on computer vision and pattern …, 2017
302017
Partial optimality via iterative pruning for the Potts model
P Swoboda, B Savchynskyy, J Kappes, C Schnörr
Scale Space and Variational Methods in Computer Vision: 4th International …, 2013
242013
Towards globally optimal normal orientations for large point clouds
N Schertler, B Savchynskyy, S Gumhold
Computer Graphics Forum 36 (1), 197-208, 2017
232017
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
232015
Evaluation of a first-order primal-dual algorithm for MRF energy minimization
S Schmidt, B Savchynskyy, J Kappes, C Schnörr
Energy Minimazation Methods in Computer Vision and Pattern Recognition, 89-103, 2011
222011
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
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