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Paul Swoboda
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Lifted disjoint paths with application in multiple object tracking
A Hornakova, R Henschel, B Rosenhahn, P Swoboda
International Conference on Machine Learning, 4364-4375, 2020
912020
Deep graph matching via blackbox differentiation of combinatorial solvers
M Rolínek, P Swoboda, D Zietlow, A Paulus, V Musil, G Martius
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
672020
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
492017
Partial Optimality by Pruning for MAP-Inference with General Graphical Models
P Swoboda, A Shekhovtsov, JH Kappes, C Schnörr, B Savchynskyy
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (7), 1370 …, 2015
372015
Partial optimality by pruning for MAP-inference with general graphical models
P Swoboda, B Savchynskyy, JH Kappes, C Schnorr
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
372014
A message passing algorithm for the minimum cost multicut problem
P Swoboda, B Andres
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
302015
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
282013
A convex relaxation for multi-graph matching
P Swoboda, A Mokarian, C Theobalt, F Bernard
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
272019
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
272017
Convex variational image restoration with histogram priors
P Swoboda, C Schnörr
SIAM Journal on Imaging Sciences 6 (3), 1719-1735, 2013
252013
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
Hippi: Higher-order projected power iterations for scalable multi-matching
F Bernard, J Thunberg, P Swoboda, C Theobalt
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
212019
Making higher order mot scalable: An efficient approximate solver for lifted disjoint paths
A Hornakova, T Kaiser, P Swoboda, M Rolinek, B Rosenhahn, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
192021
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
172018
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
162015
MAP inference via block-coordinate Frank-Wolfe algorithm
P Swoboda, V Kolmogorov
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
142019
Variational image segmentation and cosegmentation with the wasserstein distance
P Swoboda, C Schnörr
Energy Minimization Methods in Computer Vision and Pattern Recognition: 9th …, 2013
132013
Combinatorial persistency criteria for multicut and max-cut
JH Lange, B Andres, P Swoboda
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
92019
A novel convex relaxation for non-binary discrete tomography
J Kuske, P Swoboda, S Petra
Scale Space and Variational Methods in Computer Vision: 6th International …, 2017
92017
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