Articles with public access mandates - Bogdan SavchynskyyLearn more
Available somewhere: 26
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
Mandates: European Commission
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
Mandates: German Research Foundation
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
Mandates: Swedish Research Council, UK Engineering and Physical Sciences Research Council
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
Mandates: European Commission
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
Mandates: German Research Foundation
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
Mandates: German Research Foundation
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
Mandates: German Research Foundation, European Commission
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
Mandates: European Commission
Discrete graphical models—an optimization perspective
B Savchynskyy
Foundations and Trends® in Computer Graphics and Vision 11 (3-4), 160-429, 2019
Mandates: German Research Foundation
Partial optimality by pruning for MAP-inference with general graphical models
P Swoboda, B Savchynskyy, JH Kappes, C Schnörr
CVPR, 2014
Mandates: German Research Foundation
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
Mandates: Austrian Science Fund, German Research Foundation, European Commission
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
Mandates: German Research Foundation
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
Mandates: German Research Foundation, European Commission
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
Mandates: European Commission
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
Mandates: German Research Foundation
Probabilistic correlation clustering and image partitioning using perturbed multicuts
JH Kappes, P Swoboda, B Savchynskyy, T Hazan, C Schnörr
Scale Space and Variational Methods in Computer Vision: 5th International …, 2015
Mandates: German Research Foundation
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
Mandates: German Research Foundation
Joint training of generic CNN-CRF models with stochastic optimization
A Kirillov, D Schlesinger, S Zheng, B Savchynskyy, PHS Torr, C Rother
Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017
Mandates: UK Engineering and Physical Sciences Research Council, European Commission …
Exact map-inference by confining combinatorial search with LP relaxation
S Haller, P Swoboda, B Savchynskyy
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Mandates: German Research Foundation
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, 2016
Mandates: European Commission
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