9 Publications

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[9]
2019 | Conference Paper | IST-REx-ID: 7468 | OA
Swoboda, Paul, and Vladimir Kolmogorov. “Map Inference via Block-Coordinate Frank-Wolfe Algorithm.” In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 2019–June. IEEE, 2019. https://doi.org/10.1109/CVPR.2019.01140.
View | DOI | Download Preprint (ext.) | arXiv
 
[8]
2018 | Journal Article | IST-REx-ID: 703 | OA
Shekhovtsov, Alexander, Paul Swoboda, and Bogdan Savchynskyy. “Maximum Persistency via Iterative Relaxed Inference with Graphical Models.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2018. https://doi.org/10.1109/TPAMI.2017.2730884.
View | DOI | Download Preprint (ext.) | arXiv
 
[7]
2018 | Conference Paper | IST-REx-ID: 5978 | OA
Haller, Stefan, Paul Swoboda, and Bogdan Savchynskyy. “Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation.” In Proceedings of the 32st AAAI Conference on Artificial Intelligence, 6581–88. AAAI, 2018.
View | Download Preprint (ext.) | arXiv
 
[6]
2017 | Conference Paper | IST-REx-ID: 915 | OA
Swoboda, Paul, and Bjoern Andres. “A Message Passing Algorithm for the Minimum Cost Multicut Problem,” 2017:4990–99. IEEE, 2017. https://doi.org/10.1109/CVPR.2017.530.
View | Files available | DOI
 
[5]
2017 | Conference Paper | IST-REx-ID: 916 | OA
Swoboda, Paul, Carsten Rother, Carsten Abu Alhaija, Dagmar Kainmueller, and Bogdan Savchynskyy. “A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching,” 2017:7062–71. IEEE, 2017. https://doi.org/10.1109/CVPR.2017.747.
View | Files available | DOI
 
[4]
2017 | Conference Paper | IST-REx-ID: 917 | OA
Swoboda, Paul, Jan Kuske, and Bogdan Savchynskyy. “A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems,” 2017:4950–60. IEEE, 2017. https://doi.org/10.1109/CVPR.2017.526.
View | Files available | DOI
 
[3]
2017 | Conference Paper | IST-REx-ID: 641
Trajkovska, Vera, Paul Swoboda, Freddie Åström, and Stefanie Petra. “Graphical Model Parameter Learning by Inverse Linear Programming.” edited by François Lauze, Yiqiu Dong, and Anders Bjorholm Dahl, 10302:323–34. Springer, 2017. https://doi.org/10.1007/978-3-319-58771-4_26.
View | DOI
 
[2]
2017 | Conference Paper | IST-REx-ID: 646 | OA
Kuske, Jan, Paul Swoboda, and Stefanie Petra. “A Novel Convex Relaxation for Non Binary Discrete Tomography.” edited by François Lauze, Yiqiu Dong, and Anders Bjorholm Dahl, 10302:235–46. Springer, 2017. https://doi.org/10.1007/978-3-319-58771-4_19.
View | DOI | Download Submitted Version (ext.)
 
[1]
2016 | Research Data | IST-REx-ID: 5557 | OA
Swoboda, Paul. “Synthetic Discrete Tomography Problems.” IST Austria, 2016. https://doi.org/10.15479/AT:ISTA:46.
View | Files available | DOI
 

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9 Publications

Mark all

[9]
2019 | Conference Paper | IST-REx-ID: 7468 | OA
Swoboda, Paul, and Vladimir Kolmogorov. “Map Inference via Block-Coordinate Frank-Wolfe Algorithm.” In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 2019–June. IEEE, 2019. https://doi.org/10.1109/CVPR.2019.01140.
View | DOI | Download Preprint (ext.) | arXiv
 
[8]
2018 | Journal Article | IST-REx-ID: 703 | OA
Shekhovtsov, Alexander, Paul Swoboda, and Bogdan Savchynskyy. “Maximum Persistency via Iterative Relaxed Inference with Graphical Models.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2018. https://doi.org/10.1109/TPAMI.2017.2730884.
View | DOI | Download Preprint (ext.) | arXiv
 
[7]
2018 | Conference Paper | IST-REx-ID: 5978 | OA
Haller, Stefan, Paul Swoboda, and Bogdan Savchynskyy. “Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation.” In Proceedings of the 32st AAAI Conference on Artificial Intelligence, 6581–88. AAAI, 2018.
View | Download Preprint (ext.) | arXiv
 
[6]
2017 | Conference Paper | IST-REx-ID: 915 | OA
Swoboda, Paul, and Bjoern Andres. “A Message Passing Algorithm for the Minimum Cost Multicut Problem,” 2017:4990–99. IEEE, 2017. https://doi.org/10.1109/CVPR.2017.530.
View | Files available | DOI
 
[5]
2017 | Conference Paper | IST-REx-ID: 916 | OA
Swoboda, Paul, Carsten Rother, Carsten Abu Alhaija, Dagmar Kainmueller, and Bogdan Savchynskyy. “A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching,” 2017:7062–71. IEEE, 2017. https://doi.org/10.1109/CVPR.2017.747.
View | Files available | DOI
 
[4]
2017 | Conference Paper | IST-REx-ID: 917 | OA
Swoboda, Paul, Jan Kuske, and Bogdan Savchynskyy. “A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems,” 2017:4950–60. IEEE, 2017. https://doi.org/10.1109/CVPR.2017.526.
View | Files available | DOI
 
[3]
2017 | Conference Paper | IST-REx-ID: 641
Trajkovska, Vera, Paul Swoboda, Freddie Åström, and Stefanie Petra. “Graphical Model Parameter Learning by Inverse Linear Programming.” edited by François Lauze, Yiqiu Dong, and Anders Bjorholm Dahl, 10302:323–34. Springer, 2017. https://doi.org/10.1007/978-3-319-58771-4_26.
View | DOI
 
[2]
2017 | Conference Paper | IST-REx-ID: 646 | OA
Kuske, Jan, Paul Swoboda, and Stefanie Petra. “A Novel Convex Relaxation for Non Binary Discrete Tomography.” edited by François Lauze, Yiqiu Dong, and Anders Bjorholm Dahl, 10302:235–46. Springer, 2017. https://doi.org/10.1007/978-3-319-58771-4_19.
View | DOI | Download Submitted Version (ext.)
 
[1]
2016 | Research Data | IST-REx-ID: 5557 | OA
Swoboda, Paul. “Synthetic Discrete Tomography Problems.” IST Austria, 2016. https://doi.org/10.15479/AT:ISTA:46.
View | Files available | DOI
 

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