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Bogdan Savchynskyy
Bogdan Savchynskyy
Group Leader at Heidelberg University, Germany
Dirección de correo verificada de iwr.uni-heidelberg.de - Página principal
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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
3182017
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, 155-184, 2015
2422015
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
1722018
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
1542017
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
712012
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
672012
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
642017
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
502015
Discrete graphical models—an optimization perspective
B Savchynskyy
Foundations and Trends® in Computer Graphics and Vision 11 (3-4), 160-429, 2019
412019
Partial optimality by pruning for MAP-inference with general graphical models
P Swoboda, B Savchynskyy, JH Kappes, C Schnörr
CVPR, 2014
372014
Discriminative learning of max-sum classifiers
V Franc, B Savchynskyy
The Journal of Machine Learning Research 9, 67-104, 2008
372008
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
322017
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
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
Towards globally optimal normal orientations for large point clouds
N Schertler, B Savchynskyy, S Gumhold
Computer Graphics Forum 36 (1), 197-208, 2017
302017
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
262015
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
232013
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
222018
A comparative study of graph matching algorithms in computer vision
S Haller, L Feineis, L Hutschenreiter, F Bernard, C Rother, D Kainmüller, ...
European Conference on Computer Vision, 636-653, 2022
202022
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