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ORCIDPaul Swoboda
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- affiliation: Heinrich-Heine Universität Düsseldorf, Germany
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2020 – today
- 2024
[c39]Ahmed Abbas, Paul Swoboda:
DOGE-Train: Discrete Optimization on GPU with End-to-End Training. AAAI 2024: 20623-20631- [c38]Jannik Brinkmann, Abhay Sheshadri, Victor Levoso, Paul Swoboda, Christian Bartelt:
A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task. ACL (Findings) 2024: 4082-4102 - [i29]Jannik Brinkmann, Abhay Sheshadri, Victor Levoso, Paul Swoboda, Christian Bartelt:
A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task. CoRR abs/2402.11917 (2024) - 2023
- [c37]Duy M. H. Nguyen, Hoang Nguyen, Truong Thanh Nhat Mai
, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag:
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering. AAAI 2023: 14426-14435 - [c36]Jannik Brinkmann, Paul Swoboda, Christian Bartelt:
A Multidimensional Analysis of Social Biases in Vision Transformers. ICCV 2023: 4891-4900 - [c35]Ahmed Abbas, Paul Swoboda:
ClusterFuG: Clustering Fully connected Graphs by Multicut. ICML 2023: 19-30 - [c34]Duy M. H. Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert:
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. NeurIPS 2023 - [i28]Ahmed Abbas, Paul Swoboda:
ClusterFuG: Clustering Fully connected Graphs by Multicut. CoRR abs/2301.12159 (2023) - [i27]Duy M. H. Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert:
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. CoRR abs/2306.11925 (2023) - [i26]Jannik Brinkmann, Paul Swoboda, Christian Bartelt:
A Multidimensional Analysis of Social Biases in Vision Transformers. CoRR abs/2308.01948 (2023) - [i25]Paul Roetzer, Ahmed Abbas, Dongliang Cao, Florian Bernard, Paul Swoboda:
Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching. CoRR abs/2310.08230 (2023) - 2022
- [c33]Paul Roetzer, Paul Swoboda, Daniel Cremers, Florian Bernard:
A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching. CVPR 2022: 428-438 - [c32]Ahmed Abbas, Paul Swoboda:
FastDOG: Fast Discrete Optimization on GPU. CVPR 2022: 439-449 - [c31]Ahmed Abbas, Paul Swoboda:
RAMA: A Rapid Multicut Algorithm on GPU. CVPR 2022: 8183-8192 - [c30]Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda:
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. CVPR 2022: 8856-8865 - [c29]Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy:
A Comparative Study of Graph Matching Algorithms in Computer Vision. ECCV (23) 2022: 636-653 - [i24]Paul Swoboda, Andrea Hornáková, Paul Roetzer, Bogdan Savchynskyy, Ahmed Abbas:
Structured Prediction Problem Archive. CoRR abs/2202.03574 (2022) - [i23]Paul Roetzer, Paul Swoboda, Daniel Cremers, Florian Bernard:
A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching. CoRR abs/2204.12805 (2022) - [i22]Ahmed Abbas, Paul Swoboda:
DOGE-Train: Discrete Optimization on GPU with End-to-end Training. CoRR abs/2205.11638 (2022) - [i21]Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy:
A Comparative Study of Graph Matching Algorithms in Computer Vision. CoRR abs/2207.00291 (2022) - [i20]Duy M. H. Nguyen, Hoang Nguyen, Mai Thanh Nhat Truong, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag:
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering. CoRR abs/2212.01893 (2022) - 2021
- [c28]Andrea Hornáková, Timo Kaiser, Paul Swoboda, Michal Rolínek, Bodo Rosenhahn, Roberto Henschel:
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. ICCV 2021: 6310-6320 - [c27]Jan-Hendrik Lange, Paul Swoboda:
Efficient Message Passing for 0-1 ILPs with Binary Decision Diagrams. ICML 2021: 6000-6010 - [c26]Ahmed Abbas, Paul Swoboda:
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach. NeurIPS 2021: 15635-15649 - [i19]Ahmed Abbas, Paul Swoboda:
Combinatorial Optimization for Panoptic Segmentation: An End-to-End Trainable Approach. CoRR abs/2106.03188 (2021) - [i18]Andrea Hornáková, Timo Kaiser, Paul Swoboda, Michal Rolínek, Bodo Rosenhahn, Roberto Henschel:
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. CoRR abs/2108.10606 (2021) - [i17]Ahmed Abbas, Paul Swoboda:
RAMA: A Rapid Multicut Algorithm on GPU. CoRR abs/2109.01838 (2021) - [i16]Ahmed Abbas, Paul Swoboda:
FastDOG: Fast Discrete Optimization on GPU. CoRR abs/2111.10270 (2021) - [i15]Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda:
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. CoRR abs/2111.11892 (2021) - 2020
- [c25]Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy:
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. AISTATS 2020: 2539-2549 - [c24]Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius:
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. ECCV (28) 2020: 407-424 - [c23]Andrea Hornáková, Roberto Henschel, Bodo Rosenhahn, Paul Swoboda:
Lifted Disjoint Paths with Application in Multiple Object Tracking. ICML 2020: 4364-4375 - [i14]Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius:
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. CoRR abs/2003.11657 (2020) - [i13]Stefan Haller, Paul Swoboda, Bogdan Savchynskyy:
Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation. CoRR abs/2004.06370 (2020) - [i12]Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy:
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. CoRR abs/2004.06375 (2020) - [i11]Andrea Hornáková, Roberto Henschel, Bodo Rosenhahn, Paul Swoboda:
Lifted Disjoint Paths with Application in Multiple Object Tracking. CoRR abs/2006.14550 (2020)
2010 – 2019
- 2019
- [c22]Jan-Hendrik Lange, Bjoern Andres, Paul Swoboda:
Combinatorial Persistency Criteria for Multicut and Max-Cut. CVPR 2019: 6093-6102 - [c21]Paul Swoboda, Vladimir Kolmogorov:
MAP Inference via Block-Coordinate Frank-Wolfe Algorithm. CVPR 2019: 11146-11155 - [c20]Paul Swoboda, Dagmar Kainmüller, Ashkan Mokarian, Christian Theobalt, Florian Bernard:
A Convex Relaxation for Multi-Graph Matching. CVPR 2019: 11156-11165 - [c19]Ahmed Abbas, Paul Swoboda:
Bottleneck Potentials in Markov Random Fields. ICCV 2019: 3174-3183 - [c18]Florian Bernard, Johan Thunberg, Paul Swoboda, Christian Theobalt:
HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching. ICCV 2019: 10283-10292 - [i10]Ahmed Abbas, Paul Swoboda:
Bottleneck potentials in Markov Random Fields. CoRR abs/1904.08080 (2019) - 2018
- [j5]Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy:
Maximum Persistency via Iterative Relaxed Inference in Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1668-1682 (2018) - [c17]Stefan Haller, Paul Swoboda, Bogdan Savchynskyy:
Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation. AAAI 2018: 6581-6588 - [i9]Paul Swoboda, Vladimir Kolmogorov:
MAP inference via Block-Coordinate Frank-Wolfe Algorithm. CoRR abs/1806.05049 (2018) - [i8]Florian Bernard, Johan Thunberg, Paul Swoboda, Christian Theobalt:
Higher-order Projected Power Iterations for Scalable Multi-Matching. CoRR abs/1811.10541 (2018) - 2017
- [c16]Paul Swoboda, Jan Kuske, Bogdan Savchynskyy:
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. CVPR 2017: 4950-4960 - [c15]Paul Swoboda, Bjoern Andres:
A Message Passing Algorithm for the Minimum Cost Multicut Problem. CVPR 2017: 4990-4999 - [c14]Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmüller, Bogdan Savchynskyy:
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CVPR 2017: 7062-7071 - [c13]Jan Kuske, Paul Swoboda, Stefania Petra:
A Novel Convex Relaxation for Non-binary Discrete Tomography. SSVM 2017: 235-246 - [c12]Vera Trajkovska, Paul Swoboda, Freddie Åström, Stefania Petra:
Graphical Model Parameter Learning by Inverse Linear Programming. SSVM 2017: 323-334 - 2016
- [b1]Paul Swoboda:
New convex relaxations and global optimality in variational imaging. University of Heidelberg, Germany, 2016, pp. 1-99 - [j4]Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr:
Multicuts and Perturb & MAP for Probabilistic Graph Clustering. J. Math. Imaging Vis. 56(2): 221-237 (2016) - [j3]Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy:
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. 38(7): 1370-1382 (2016) - [i7]Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr:
Multicuts and Perturb & MAP for Probabilistic Graph Clustering. CoRR abs/1601.02088 (2016) - [i6]Paul Swoboda, Bjoern Andres:
A Message Passing Algorithm for the Minimum Cost Multicut Problem. CoRR abs/1612.05441 (2016) - [i5]Paul Swoboda, Jan Kuske, Bogdan Savchynskyy:
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. CoRR abs/1612.05460 (2016) - [i4]Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmueller, Bogdan Savchynskyy:
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CoRR abs/1612.05476 (2016) - 2015
- [c11]Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy:
Maximum persistency via iterative relaxed inference with graphical models. CVPR 2015: 521-529 - [c10]Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr:
Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. SSVM 2015: 231-242 - [i3]Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy:
Maximum Persistency via Iterative Relaxed Inference with Graphical Models. CoRR abs/1508.07902 (2015) - 2014
- [c9]Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr:
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CVPR 2014: 1170-1177 - [i2]Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy:
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CoRR abs/1410.6641 (2014) - 2013
- [j2]Paul Swoboda, Christoph Schnörr:
Convex Variational Image Restoration with Histogram Priors. SIAM J. Imaging Sci. 6(3): 1719-1735 (2013) - [c8]Paul Swoboda, Christoph Schnörr:
Variational Image Segmentation and Cosegmentation with the Wasserstein Distance. EMMCVPR 2013: 321-334 - [c7]Paul Swoboda, David Liu, Shaohua Kevin Zhou:
Anatomical landmark detection using multiple instance boosting with spatial regularization. ISBI 2013: 218-221 - [c6]Bogdan Savchynskyy, Jörg Hendrik Kappes, Paul Swoboda, Christoph Schnörr:
Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS 2013: 1950-1958 - [c5]Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr:
Partial Optimality via Iterative Pruning for the Potts Model. SSVM 2013: 477-488 - [i1]Paul Swoboda, Christoph Schnörr:
Convex Variational Image Restoration with Histogram Priors. CoRR abs/1301.3683 (2013)
2000 – 2009
- 2004
- [c4]Paul Swoboda, John Plaice:
An Active Functional Intensional Database. DEXA 2004: 56-65 - [c3]John Plaice, Yannis Haralambous, Paul Swoboda, Gábor Bella:
Moving Omega to an Object-Oriented Platform. TEX, XML, and Digital Typography 2004: 17-26 - 2002
- [c2]John Plaice, Paul Swoboda, Jacob Slonim, Michael McAllister:
Open Problems in Distributed Communities. DCW 2002: 1-9 - 2000
- [c1]John Plaice, Paul Swoboda, Ammar Alammar:
Building Intensional Communities Using Shared Contexts. DCW 2000: 55-64
1990 – 1999
- 1996
- [j1]Murray W. Goldberg, Sasan Salari, Paul Swoboda:
World Wide Web - Course Tool: An Environment for Building WWW-Based Courses. Comput. Networks 28(7-11): 1219-1231 (1996)
Coauthor Index
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