Paul Swoboda

Kolmogorov Group

9 Publications

Mark all

[9]
2019 | Published | Conference Paper | IST-REx-ID: 7468 | OA
Swoboda P, Kolmogorov V. 2019. Map inference via block-coordinate Frank-Wolfe algorithm. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition vol. 2019–June, 11138–11147.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[8]
2018 | Published | Conference Paper | IST-REx-ID: 5978 | OA
Haller S, Swoboda P, Savchynskyy B. 2018. Exact MAP-inference by confining combinatorial search with LP relaxation. Proceedings of the 32st AAAI Conference on Artificial Intelligence. AAAI: Conference on Artificial Intelligence, 6581–6588.
[Preprint] View | Download Preprint (ext.) | WoS | arXiv
 
[7]
2018 | Published | Journal Article | IST-REx-ID: 703 | OA
Shekhovtsov A, Swoboda P, Savchynskyy B. 2018. Maximum persistency via iterative relaxed inference with graphical models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(7), 1668–1682.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[6]
2017 | Published | Conference Paper | IST-REx-ID: 915 | OA
Swoboda P, Andres B. 2017. A message passing algorithm for the minimum cost multicut problem. CVPR: Computer Vision and Pattern Recognition vol. 2017, 4990–4999.
[Submitted Version] View | Files available | DOI | WoS
 
[5]
2017 | Published | Conference Paper | IST-REx-ID: 916 | OA
Swoboda P, Rother C, Abu Alhaija C, Kainmueller D, Savchynskyy B. 2017. A study of lagrangean decompositions and dual ascent solvers for graph matching. CVPR: Computer Vision and Pattern Recognition vol. 2017, 7062–7071.
[Submitted Version] View | Files available | DOI | WoS
 
[4]
2017 | Published | Conference Paper | IST-REx-ID: 917 | OA
Swoboda P, Kuske J, Savchynskyy B. 2017. A dual ascent framework for Lagrangean decomposition of combinatorial problems. CVPR: Computer Vision and Pattern Recognition vol. 2017, 4950–4960.
[Submitted Version] View | Files available | DOI | WoS
 
[3]
2017 | Published | Conference Paper | IST-REx-ID: 641
Trajkovska V, Swoboda P, Åström F, Petra S. 2017. Graphical model parameter learning by inverse linear programming. SSVM: Scale Space and Variational Methods in Computer Vision, LNCS, vol. 10302, 323–334.
View | DOI
 
[2]
2017 | Published | Conference Paper | IST-REx-ID: 646 | OA
Kuske J, Swoboda P, Petra S. 2017. A novel convex relaxation for non binary discrete tomography. SSVM: Scale Space and Variational Methods in Computer Vision, LNCS, vol. 10302, 235–246.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[1]
2016 | Research Data | IST-REx-ID: 5557 | OA
Swoboda P. 2016. Synthetic discrete tomography problems, Institute of Science and Technology Austria, 10.15479/AT:ISTA:46.
[Published Version] View | Files available | DOI
 
Marked Publication(s)

Search

Filter Publications

Display / Sort

Citation Style: ISTA Annual Report

Export / Embed

Grants


9 Publications

Mark all

[9]
2019 | Published | Conference Paper | IST-REx-ID: 7468 | OA
Swoboda P, Kolmogorov V. 2019. Map inference via block-coordinate Frank-Wolfe algorithm. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition vol. 2019–June, 11138–11147.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[8]
2018 | Published | Conference Paper | IST-REx-ID: 5978 | OA
Haller S, Swoboda P, Savchynskyy B. 2018. Exact MAP-inference by confining combinatorial search with LP relaxation. Proceedings of the 32st AAAI Conference on Artificial Intelligence. AAAI: Conference on Artificial Intelligence, 6581–6588.
[Preprint] View | Download Preprint (ext.) | WoS | arXiv
 
[7]
2018 | Published | Journal Article | IST-REx-ID: 703 | OA
Shekhovtsov A, Swoboda P, Savchynskyy B. 2018. Maximum persistency via iterative relaxed inference with graphical models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(7), 1668–1682.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[6]
2017 | Published | Conference Paper | IST-REx-ID: 915 | OA
Swoboda P, Andres B. 2017. A message passing algorithm for the minimum cost multicut problem. CVPR: Computer Vision and Pattern Recognition vol. 2017, 4990–4999.
[Submitted Version] View | Files available | DOI | WoS
 
[5]
2017 | Published | Conference Paper | IST-REx-ID: 916 | OA
Swoboda P, Rother C, Abu Alhaija C, Kainmueller D, Savchynskyy B. 2017. A study of lagrangean decompositions and dual ascent solvers for graph matching. CVPR: Computer Vision and Pattern Recognition vol. 2017, 7062–7071.
[Submitted Version] View | Files available | DOI | WoS
 
[4]
2017 | Published | Conference Paper | IST-REx-ID: 917 | OA
Swoboda P, Kuske J, Savchynskyy B. 2017. A dual ascent framework for Lagrangean decomposition of combinatorial problems. CVPR: Computer Vision and Pattern Recognition vol. 2017, 4950–4960.
[Submitted Version] View | Files available | DOI | WoS
 
[3]
2017 | Published | Conference Paper | IST-REx-ID: 641
Trajkovska V, Swoboda P, Åström F, Petra S. 2017. Graphical model parameter learning by inverse linear programming. SSVM: Scale Space and Variational Methods in Computer Vision, LNCS, vol. 10302, 323–334.
View | DOI
 
[2]
2017 | Published | Conference Paper | IST-REx-ID: 646 | OA
Kuske J, Swoboda P, Petra S. 2017. A novel convex relaxation for non binary discrete tomography. SSVM: Scale Space and Variational Methods in Computer Vision, LNCS, vol. 10302, 235–246.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[1]
2016 | Research Data | IST-REx-ID: 5557 | OA
Swoboda P. 2016. Synthetic discrete tomography problems, Institute of Science and Technology Austria, 10.15479/AT:ISTA:46.
[Published Version] View | Files available | DOI
 
Marked Publication(s)

Search

Filter Publications

Display / Sort

Citation Style: ISTA Annual Report

Export / Embed