Paul Swoboda

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 60

Top Venues

University of Heidelberg, Germany (PHD)

Education History

University of Heidelberg, Germany

PHD

Publications

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)
Ahmed Abbas, Paul Swoboda
DOGE-Train: Discrete Optimization on GPU with End-to-End Training. AAAI (2024)
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 (2024)
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)
Jannik Brinkmann, Paul Swoboda, Christian Bartelt
A Multidimensional Analysis of Social Biases in Vision Transformers. CoRR (2023)
Duy M. H. Nguyen, Hoang Nguyen, Nghiem Diep, Tan N. 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 (2023)
Jannik Brinkmann, Paul Swoboda, Christian Bartelt
A Multidimensional Analysis of Social Biases in Vision Transformers. ICCV (2023)
Paul Roetzer, Ahmed Abbas, Dongliang Cao, Florian Bernard, Paul Swoboda
Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching. CoRR (2023)
Ahmed Abbas, Paul Swoboda
ClusterFuG: Clustering Fully connected Graphs by Multicut. CoRR (2023)
Ahmed Abbas, Paul Swoboda
ClusterFuG: Clustering Fully connected Graphs by Multicut. ICML (2023)
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)
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)
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 (2022)
Paul Swoboda, Andrea Hornáková, Paul Roetzer, Bogdan Savchynskyy, Ahmed Abbas
Structured Prediction Problem Archive. CoRR (2022)
Paul Roetzer, Paul Swoboda, Daniel Cremers, Florian Bernard
A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching. CVPR (2022)
Ahmed Abbas, Paul Swoboda
RAMA: A Rapid Multicut Algorithm on GPU. CVPR (2022)
Ahmed Abbas, Paul Swoboda
FastDOG: Fast Discrete Optimization on GPU. CVPR (2022)
Paul Roetzer, Paul Swoboda, Daniel Cremers, Florian Bernard
A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching. CoRR (2022)
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 (2022)
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)
Ahmed Abbas, Paul Swoboda
DOGE-Train: Discrete Optimization on GPU with End-to-end Training. CoRR (2022)
Andrea Hornáková, Timo Kaiser, Paul Swoboda, Michal Rolinek, Bodo Rosenhahn, Roberto Henschel
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. CoRR (2021)
Ahmed Abbas, Paul Swoboda
Combinatorial Optimization for Panoptic Segmentation: An End-to-End Trainable Approach. CoRR (2021)
Jan-Hendrik Lange, Paul Swoboda
Efficient Message Passing for 0-1 ILPs with Binary Decision Diagrams. ICML (2021)
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 (2021)
Ahmed Abbas, Paul Swoboda
FastDOG: Fast Discrete Optimization on GPU. CoRR (2021)
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)
Ahmed Abbas, Paul Swoboda
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach. NeurIPS (2021)
Ahmed Abbas, Paul Swoboda
RAMA: A Rapid Multicut Algorithm on GPU. CoRR (2021)
Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. CoRR (2020)
Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. ECCV (28) (2020)
Andrea Hornáková, Roberto Henschel, Bodo Rosenhahn, Paul Swoboda
Lifted Disjoint Paths with Application in Multiple Object Tracking. CoRR (2020)
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 (2020)
Stefan Haller, Paul Swoboda, Bogdan Savchynskyy
Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation. CoRR (2020)
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)
Andrea Hornáková, Roberto Henschel, Bodo Rosenhahn, Paul Swoboda
Lifted Disjoint Paths with Application in Multiple Object Tracking. ICML (2020)
Paul Swoboda, Vladimir Kolmogorov
MAP Inference via Block-Coordinate Frank-Wolfe Algorithm. CVPR (2019)
Paul Swoboda, Dagmar Kainmüller, Ashkan Mokarian, Christian Theobalt, Florian Bernard
A Convex Relaxation for Multi-Graph Matching. CVPR (2019)
Florian Bernard, Johan Thunberg, Paul Swoboda, Christian Theobalt
HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching. ICCV (2019)
Ahmed Abbas, Paul Swoboda
Bottleneck Potentials in Markov Random Fields. ICCV (2019)
Jan-Hendrik Lange, Bjoern Andres, Paul Swoboda
Combinatorial Persistency Criteria for Multicut and Max-Cut. CVPR (2019)
Ahmed Abbas, Paul Swoboda
Bottleneck potentials in Markov Random Fields. CoRR (2019)
Florian Bernard, Johan Thunberg, Paul Swoboda, Christian Theobalt
Higher-order Projected Power Iterations for Scalable Multi-Matching. CoRR (2018)
Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
Maximum Persistency via Iterative Relaxed Inference in Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. 40 (7) (2018)
Paul Swoboda, Vladimir Kolmogorov
MAP inference via Block-Coordinate Frank-Wolfe Algorithm. CoRR (2018)
Stefan Haller, Paul Swoboda, Bogdan Savchynskyy
Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation. AAAI (2018)
Paul Swoboda, Bjoern Andres
A Message Passing Algorithm for the Minimum Cost Multicut Problem. CVPR (2017)
Vera Trajkovska, Paul Swoboda, Freddie Åström, Stefania Petra
Graphical Model Parameter Learning by Inverse Linear Programming. SSVM (2017)
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)
Paul Swoboda, Jan Kuske, Bogdan Savchynskyy
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. CVPR (2017)
Jan Kuske, Paul Swoboda, Stefania Petra
A Novel Convex Relaxation for Non-binary Discrete Tomography. SSVM (2017)
Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmueller, Bogdan Savchynskyy
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CoRR (2016)
Paul Swoboda, Bjoern Andres
A Message Passing Algorithm for the Minimum Cost Multicut Problem. CoRR (2016)
Paul Swoboda, Jan Kuske, Bogdan Savchynskyy
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. CoRR (2016)
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) (2016)
Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
Multicuts and Perturb & MAP for Probabilistic Graph Clustering. CoRR (2016)
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) (2016)
Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. SSVM (2015)
Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
Maximum persistency via iterative relaxed inference with graphical models. CVPR (2015)
Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
Maximum Persistency via Iterative Relaxed Inference with Graphical Models. CoRR (2015)
Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CoRR (2014)
Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CVPR (2014)
Paul Swoboda, Christoph Schnörr
Convex Variational Image Restoration with Histogram Priors CoRR (2013)
Paul Swoboda, Christoph Schnörr
Variational Image Segmentation and Cosegmentation with the Wasserstein Distance. EMMCVPR (2013)
Paul Swoboda, David Liu, Shaohua Kevin Zhou
Anatomical landmark detection using multiple instance boosting with spatial regularization. ISBI (2013)
Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr
Partial Optimality via Iterative Pruning for the Potts Model. SSVM (2013)
Paul Swoboda, Christoph Schnörr
Convex Variational Image Restoration with Histogram Priors. SIAM J. Imaging Sci. 6 (3) (2013)
Bogdan Savchynskyy, Jörg Hendrik Kappes, Paul Swoboda, Christoph Schnörr
Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS (2013)
John Plaice, Yannis Haralambous, Paul Swoboda, Gábor Bella
Moving Omega to an Object-Oriented Platform. TEX, XML, and Digital Typography (2004)
Paul Swoboda, John Plaice
An Active Functional Intensional Database. DEXA (2004)
John Plaice, Paul Swoboda, Jacob Slonim, Michael McAllister
Open Problems in Distributed Communities. DCW (2002)
John Plaice, Paul Swoboda, Ammar Alammar
Building Intensional Communities Using Shared Contexts. DCW (2000)
Murray W. Goldberg, Sasan Salari, Paul Swoboda
World Wide Web - Course Tool: An Environment for Building WWW-Based Courses. Comput. Networks 28 (7-11) (1996)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paul Swoboda