Paul Swoboda

Kolmogorov Group

9 Publications

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

Mark all

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

Filter Publications

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