Bogdan Savchynskyy
Bogdan Savchynskyy
Group Leader at Heidelberg University, Germany
Verified email at iwr.uni-heidelberg.de - Homepage
Title
Cited by
Cited by
Year
A comparative study of modern inference techniques for discrete energy minimization problems
J Kappes, B Andres, F Hamprecht, C Schnorr, S Nowozin, D Batra, S Kim, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2013
3272013
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
1092017
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
642017
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
602011
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
562012
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
472018
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
472012
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
352015
Partial optimality by pruning for MAP-inference with general graphical models
P Swoboda, B Savchynskyy, JH Kappes, C Schnörr
CVPR, 2014
292014
Discriminative learning of max-sum classifiers
V Franc, B Savchynskyy
The Journal of Machine Learning Research 9, 67-104, 2008
282008
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
232015
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, 1950-1958, 2013
212013
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
192017
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, 613-621, 2015
192015
Partial optimality via iterative pruning for the Potts model
P Swoboda, B Savchynskyy, J Kappes, C Schnörr
International Conference on Scale Space and Variational Methods in Computer …, 2013
192013
Joint training of generic CNN-CRF models with stochastic optimization
A Kirillov, D Schlesinger, S Zheng, B Savchynskyy, PHS Torr, C Rother
Asian Conference on Computer Vision, 221-236, 2016
162016
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
142011
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
122017
Probabilistic correlation clustering and image partitioning using perturbed multicuts
JH Kappes, P Swoboda, B Savchynskyy, T Hazan, C Schnörr
International Conference on Scale Space and Variational Methods in Computer …, 2015
122015
Joint M-best-diverse labelings as a parametric submodular minimization
A Kirillov, A Shekhovtsov, C Rother, B Savchynskyy
Advances in Neural Information Processing Systems, 334-342, 2016
112016
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Articles 1–20