Paul Swoboda

According to our database, Paul Swoboda authored at least 48 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task.

Jannik Brinkmann, Abhay Sheshadri, Victor Levoso, Paul Swoboda, Christian Bartelt

CoRR, 2024

DOGE-Train: Discrete Optimization on GPU with End-to-End Training.

Ahmed Abbas, Paul Swoboda

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching.

Paul Roetzer, Ahmed Abbas, Dongliang Cao, Florian Bernard, Paul Swoboda

CoRR, 2023

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ClusterFuG: Clustering Fully connected Graphs by Multicut.

Ahmed Abbas, Paul Swoboda

Proceedings of the International Conference on Machine Learning, 2023

A Multidimensional Analysis of Social Biases in Vision Transformers.

Jannik Brinkmann, Paul Swoboda, Christian Bartelt

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering.

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Structured Prediction Problem Archive.

Paul Swoboda, Andrea Hornáková, Paul Roetzer, Bogdan Savchynskyy, Ahmed Abbas

CoRR, 2022

A Comparative Study of Graph Matching Algorithms in Computer Vision.

Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy

Proceedings of the Computer Vision - ECCV 2022, 2022

A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching.

Paul Roetzer, Paul Swoboda, Daniel Cremers, Florian Bernard

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking.

Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

RAMA: A Rapid Multicut Algorithm on GPU.

Ahmed Abbas, Paul Swoboda

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

FastDOG: Fast Discrete Optimization on GPU.

Ahmed Abbas, Paul Swoboda

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Combinatorial Optimization for Panoptic Segmentation: An End-to-End Trainable Approach.

Ahmed Abbas, Paul Swoboda

CoRR, 2021

Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach.

Ahmed Abbas, Paul Swoboda

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Message Passing for 0-1 ILPs with Binary Decision Diagrams.

Jan-Hendrik Lange, Paul Swoboda

Proceedings of the 38th International Conference on Machine Learning, 2021

Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths.

Andrea Hornáková, Timo Kaiser, Paul Swoboda, Michal Rolínek, Bodo Rosenhahn, Roberto Henschel

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Lifted Disjoint Paths with Application in Multiple Object Tracking.

Andrea Hornáková, Roberto Henschel, Bodo Rosenhahn, Paul Swoboda

Proceedings of the 37th International Conference on Machine Learning, 2020

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers.

Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius

Proceedings of the Computer Vision - ECCV 2020, 2020

A Primal-Dual Solver for Large-Scale Tracking-by-Assignment.

Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching.

Florian Bernard, Johan Thunberg, Paul Swoboda, Christian Theobalt

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Bottleneck Potentials in Markov Random Fields.

Ahmed Abbas, Paul Swoboda

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Convex Relaxation for Multi-Graph Matching.

Paul Swoboda, Dagmar Kainmüller, Ashkan Mokarian, Christian Theobalt, Florian Bernard

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

MAP Inference via Block-Coordinate Frank-Wolfe Algorithm.

Paul Swoboda, Vladimir Kolmogorov

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Combinatorial Persistency Criteria for Multicut and Max-Cut.

Jan-Hendrik Lange, Bjoern Andres, Paul Swoboda

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Maximum Persistency via Iterative Relaxed Inference in Graphical Models.

Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Higher-order Projected Power Iterations for Scalable Multi-Matching.

Florian Bernard, Johan Thunberg, Paul Swoboda, Christian Theobalt

CoRR, 2018

Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation.

Stefan Haller, Paul Swoboda, Bogdan Savchynskyy

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Graphical Model Parameter Learning by Inverse Linear Programming.

Vera Trajkovska, Paul Swoboda, Freddie Åström, Stefania Petra

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

A Novel Convex Relaxation for Non-binary Discrete Tomography.

Jan Kuske, Paul Swoboda, Stefania Petra

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching.

Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmüller, Bogdan Savchynskyy

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems.

Paul Swoboda, Jan Kuske, Bogdan Savchynskyy

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Message Passing Algorithm for the Minimum Cost Multicut Problem.

Paul Swoboda, Bjoern Andres

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

New convex relaxations and global optimality in variational imaging.

Paul Swoboda

PhD thesis, 2016

Partial Optimality by Pruning for MAP-Inference with General Graphical Models.

Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Multicuts and Perturb & MAP for Probabilistic Graph Clustering.

Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr

J. Math. Imaging Vis., 2016

2015

Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts.

Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

2014

Partial Optimality by Pruning for MAP-Inference with General Graphical Models.

Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Convex Variational Image Restoration with Histogram Priors.

Paul Swoboda, Christoph Schnörr

SIAM J. Imaging Sci., 2013

Partial Optimality via Iterative Pruning for the Potts Model.

Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation.

Bogdan Savchynskyy, Jörg Hendrik Kappes, Paul Swoboda, Christoph Schnörr

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Anatomical landmark detection using multiple instance boosting with spatial regularization.

Paul Swoboda, David Liu, Shaohua Kevin Zhou

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Variational Image Segmentation and Cosegmentation with the Wasserstein Distance.

Paul Swoboda, Christoph Schnörr

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

2004

Moving Omega to an Object-Oriented Platform.

John Plaice, Yannis Haralambous, Paul Swoboda, Gábor Bella

Proceedings of the TeX, 2004

An Active Functional Intensional Database.

Paul Swoboda, John Plaice

Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004

2002

Open Problems in Distributed Communities.

John Plaice, Paul Swoboda, Jacob Slonim, Michael McAllister

Proceedings of the Distributed Communities on the Web, 4th International Workshop, 2002

2000

Building Intensional Communities Using Shared Contexts.

John Plaice, Paul Swoboda, Ammar Alammar

Proceedings of the Distributed Communities on the Web, Third International Workshop, 2000

1996

World Wide Web - Course Tool: An Environment for Building WWW-Based Courses.

Murray W. Goldberg, Sasan Salari, Paul Swoboda

Comput. Networks, 1996