Paul Swoboda
TitelZitiert vonJahr
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
282015
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
282014
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
222015
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
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
192013
Convex variational image restoration with histogram priors
P Swoboda, C Schnörr
SIAM Journal on Imaging Sciences 6 (3), 1719-1735, 2013
172013
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
162017
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
132017
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
112017
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
112015
Variational image segmentation and cosegmentation with the wasserstein distance
P Swoboda, C Schnörr
International Workshop on Energy Minimization Methods in Computer Vision and …, 2013
112013
Exact map-inference by confining combinatorial search with LP relaxation
S Haller, P Swoboda, B Savchynskyy
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
52018
A novel convex relaxation for non-binary discrete tomography
J Kuske, P Swoboda, S Petra
International Conference on Scale Space and Variational Methods in Computer …, 2017
42017
Multicuts and perturb & MAP for probabilistic graph clustering
JH Kappes, P Swoboda, B Savchynskyy, T Hazan, C Schnörr
Journal of Mathematical Imaging and Vision 56 (2), 221-237, 2016
32016
A convex relaxation for multi-graph matching
P Swoboda, A Mokarian, C Theobalt, F Bernard
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
22019
MAP inference via block-coordinate Frank-Wolfe algorithm
P Swoboda, V Kolmogorov
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
22019
Graphical model parameter learning by inverse linear programming
V Trajkovska, P Swoboda, F Åström, S Petra
International Conference on Scale Space and Variational Methods in Computer …, 2017
22017
Combinatorial persistency criteria for multicut and max-cut
JH Lange, B Andres, P Swoboda
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
12019
HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching
F Bernard, J Thunberg, P Swoboda, C Theobalt
Proceedings of the IEEE International Conference on Computer Vision, 10284-10293, 2019
2019
Bottleneck potentials in Markov Random Fields
A Abbas, P Swoboda
Proceedings of the IEEE International Conference on Computer Vision, 3175-3184, 2019
2019
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