Paul Swoboda

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Bogdan SavchynskyyGroup Leader at Heidelberg University, GermanyVerified email at iwr.uni-heidelberg.de
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityVerified email at math.uni-heidelberg.de
Jörg Hendrik KappesHeidelberg EngineeringVerified email at math.uni-heidelberg.de
Florian BernardVisiting Professor, Technical University of MunichVerified email at in.tum.de
Christian TheobaltProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Tamir HazanAssistant Professor, Technion - Israel Institute of TechnologyVerified email at technion.ac.il
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Bjoern AndresTU DresdenVerified email at andres.sc
Hassan Abu AlhaijaUniversity of HeidelbergVerified email at iwr.uni-heidelberg.de
Dagmar KainmuellerBIH/MDC BerlinVerified email at mdc-berlin.de
Alexander ShekhovtsovCzech Technical University in PragueVerified email at cmp.felk.cvut.cz
Stefan HallerVisual Learning Lab, University of HeidelbergVerified email at iwr.uni-heidelberg.de
Johan ThunbergAssistant Professor, Halmstad University, SwedenVerified email at hh.se
Stefania PETRAHeidelberg UniversityVerified email at math.uni-heidelberg.de
Roberto HenschelPhD Student, Leibniz University HannoverVerified email at tnt.uni-hannover.de
Bodo RosenhahnLeibniz Universität HannoverVerified email at tnt.uni-hannover.de
Andrea (Fuksová) HorňákováMax Planck Institute for Informatics SaarbrückenVerified email at mpi-inf.mpg.de
Ashkan MokarianPhd student at Max Delbrück Center for Molecular MedicineVerified email at mdc-berlin.de
Anselm PaulusB.Sc. Physics & B.Sc. Computer Science Student, University of TübingenVerified email at student.uni-tuebingen.de
Georg MartiusMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de

Paul Swoboda

Max Planck Institute for Informatics

Verified email at mpi-inf.mpg.de - Homepage

Graphical Models Combinatorial Optimization Convex Optimization Computer Vision Image Analysis


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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	35	2015
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	35	2014
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	30	2017
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	27	2015
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, 1950-1958, 2013	25	2013
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	23	2013
Convex variational image restoration with histogram priors P Swoboda, C Schnorr SIAM Journal on Imaging Sciences 6 (3), 1719-1735, 2013	22	2013
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	21	2017
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	18	2020
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	17	2017
Deep graph matching via blackbox differentiation of combinatorial solvers M Rolínek, P Swoboda, D Zietlow, A Paulus, V Musil, G Martius European Conference on Computer Vision, 407-424, 2020	14	2020
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	14	2019
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	13	2015
Variational image segmentation and cosegmentation with the wasserstein distance P Swoboda, C Schnörr International Workshop on Energy Minimization Methods in Computer Vision and …, 2013	12	2013
MAP inference via block-coordinate Frank-Wolfe algorithm P Swoboda, V Kolmogorov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	9	2019
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	9	2018
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	6	2017
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	5	2019
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	5	2016
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	4	2019

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