| 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 | 159 | 2020 |
| Deep graph matching via blackbox differentiation of combinatorial solvers M Rolínek, P Swoboda, D Zietlow, A Paulus, V Musil, G Martius Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 117 | 2020 |
| 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 | 65 | 2017 |
| 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 | 47 | 2019 |
| Making higher order mot scalable: An efficient approximate solver for lifted disjoint paths A Hornakova, T Kaiser, P Swoboda, M Rolinek, B Rosenhahn, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 46 | 2021 |
| Lmgp: Lifted multicut meets geometry projections for multi-camera multi-object tracking DMH Nguyen, R Henschel, B Rosenhahn, D Sonntag, P Swoboda Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 39 | 2022 |
| 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 | 37 | 2017 |
| 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 | 37 | 2015 |
| 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 | 34 | 2019 |
| Lvm-med: Learning large-scale self-supervised vision models for medical imaging via second-order graph matching D MH Nguyen, H Nguyen, N Diep, TN Pham, T Cao, B Nguyen, ... Advances in Neural Information Processing Systems 36, 2024 | 33 | 2024 |
| 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 | 32 | 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 | 32 | 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, 2013 | 32 | 2013 |
| Convex variational image restoration with histogram priors P Swoboda, C Schnörr SIAM Journal on Imaging Sciences 6 (3), 1719-1735, 2013 | 26 | 2013 |
| Partial optimality via iterative pruning for the Potts model P Swoboda, B Savchynskyy, J Kappes, C Schnörr Scale Space and Variational Methods in Computer Vision: 4th International …, 2013 | 23 | 2013 |
| Joint self-supervised image-volume representation learning with intra-inter contrastive clustering DMH Nguyen, H Nguyen, TTN Mai, T Cao, BT Nguyen, N Ho, P Swoboda, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14426 …, 2023 | 20 | 2023 |
| A comparative study of graph matching algorithms in computer vision S Haller, L Feineis, L Hutschenreiter, F Bernard, C Rother, D Kainmüller, ... European Conference on Computer Vision, 636-653, 2022 | 20 | 2022 |
| Efficient message passing for 0–1 ILPs with binary decision diagrams JH Lange, P Swoboda International Conference on Machine Learning, 6000-6010, 2021 | 20 | 2021 |
| Probabilistic correlation clustering and image partitioning using perturbed multicuts JH Kappes, P Swoboda, B Savchynskyy, T Hazan, C Schnörr Scale Space and Variational Methods in Computer Vision: 5th International …, 2015 | 20 | 2015 |
| MAP inference via block-coordinate Frank-Wolfe algorithm P Swoboda, V Kolmogorov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 18 | 2019 |
Bogdan SavchynskyyGroup Leader at Heidelberg University, Germanyiwr.uni-heidelberg.de의 이메일 확인됨
