World Wide Web - Course Tool: An Environment for Building WWW-Based Courses. - Murray W. Goldberg; Sasan Salari; Paul Swoboda (Comput. Networks, 1996)

Building Intensional Communities Using Shared Contexts. - John Plaice; Paul Swoboda; Ammar Alammar (DCW, 2000)

Open Problems in Distributed Communities. - John Plaice; Paul Swoboda; Jacob Slonim; Michael McAllister (DCW, 2002)

An Active Functional Intensional Database. - Paul Swoboda; John Plaice (DEXA, 2004)

Moving Omega to an Object-Oriented Platform. - John Plaice; Yannis Haralambous; Paul Swoboda; Gábor Bella (TEX, XML, and Digital Typography, 2004)

Variational Image Segmentation and Cosegmentation with the Wasserstein Distance. - Paul Swoboda; Christoph Schnörr (EMMCVPR, 2013)

Anatomical landmark detection using multiple instance boosting with spatial regularization. - Paul Swoboda; David Liu 001; Shaohua Kevin Zhou (ISBI, 2013)

Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. - Bogdan Savchynskyy; Jörg Hendrik Kappes; Paul Swoboda; Christoph Schnörr (NIPS, 2013)

Partial Optimality via Iterative Pruning for the Potts Model. - Paul Swoboda; Bogdan Savchynskyy; Jörg H. Kappes; Christoph Schnörr (SSVM, 2013)

Convex Variational Image Restoration with Histogram Priors. - Paul Swoboda; Christoph Schnörr (SIAM J. Imaging Sci., 2013)

Partial Optimality by Pruning for MAP-Inference with General Graphical Models. - Paul Swoboda; Bogdan Savchynskyy; Jörg H. Kappes; Christoph Schnörr (CVPR, 2014)

Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. - Jörg Hendrik Kappes; Paul Swoboda; Bogdan Savchynskyy; Tamir Hazan; Christoph Schnörr (SSVM, 2015)

Multicuts and Perturb & MAP for Probabilistic Graph Clustering. - Jörg Hendrik Kappes; Paul Swoboda; Bogdan Savchynskyy; Tamir Hazan; Christoph Schnörr (J. Math. Imaging Vis., 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)

New convex relaxations and global optimality in variational imaging. - Paul Swoboda (2016)

A Message Passing Algorithm for the Minimum Cost Multicut Problem. - Paul Swoboda; Bjoern Andres (CVPR, 2017)

A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. - Paul Swoboda; Jan Kuske; Bogdan Savchynskyy (CVPR, 2017)

A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. - Paul Swoboda; Carsten Rother; Hassan Abu Alhaija; Dagmar Kainmüller; Bogdan Savchynskyy (CVPR, 2017)

A Novel Convex Relaxation for Non-binary Discrete Tomography. - Jan Kuske; Paul Swoboda; Stefania Petra (SSVM, 2017)

Graphical Model Parameter Learning by Inverse Linear Programming. - Vera Trajkovska; Paul Swoboda; Freddie Åström; Stefania Petra (SSVM, 2017)

Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation. - Stefan Haller; Paul Swoboda; Bogdan Savchynskyy (AAAI, 2018)

Higher-order Projected Power Iterations for Scalable Multi-Matching. - Florian Bernard; Johan Thunberg; Paul Swoboda; Christian Theobalt (CoRR, 2018)

Maximum Persistency via Iterative Relaxed Inference in Graphical Models. - Alexander Shekhovtsov; Paul Swoboda; Bogdan Savchynskyy (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Combinatorial Persistency Criteria for Multicut and Max-Cut. - Jan-Hendrik Lange; Bjoern Andres; Paul Swoboda (CVPR, 2019)

MAP Inference via Block-Coordinate Frank-Wolfe Algorithm. - Paul Swoboda; Vladimir Kolmogorov (CVPR, 2019)

A Convex Relaxation for Multi-Graph Matching. - Paul Swoboda; Dagmar Kainmüller; Ashkan Mokarian; Christian Theobalt; Florian Bernard (CVPR, 2019)

Bottleneck Potentials in Markov Random Fields. - Ahmed Abbas; Paul Swoboda (ICCV, 2019)

HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching. - Florian Bernard; Johan Thunberg; Paul Swoboda; Christian Theobalt (ICCV, 2019)

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 (AISTATS, 2020)

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. - Michal Rolínek; Paul Swoboda; Dominik Zietlow; Anselm Paulus; Vít Musil; Georg Martius (ECCV (28), 2020)

Lifted Disjoint Paths with Application in Multiple Object Tracking. - Andrea Hornáková; Roberto Henschel; Bodo Rosenhahn; Paul Swoboda (ICML, 2020)

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 (ICCV, 2021)

Efficient Message Passing for 0-1 ILPs with Binary Decision Diagrams. - Jan-Hendrik Lange; Paul Swoboda (ICML, 2021)

Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach. - Ahmed Abbas; Paul Swoboda (NeurIPS, 2021)

Combinatorial Optimization for Panoptic Segmentation: An End-to-End Trainable Approach. - Ahmed Abbas; Paul Swoboda (CoRR, 2021)

FastDOG: Fast Discrete Optimization on GPU. - Ahmed Abbas; Paul Swoboda (CVPR, 2022)

RAMA: A Rapid Multicut Algorithm on GPU. - Ahmed Abbas; Paul Swoboda (CVPR, 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 (CVPR, 2022)

A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching. - Paul Roetzer; Paul Swoboda; Daniel Cremers; Florian Bernard (CVPR, 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 (ECCV (23), 2022)

Structured Prediction Problem Archive. - Paul Swoboda; Andrea Hornáková; Paul Roetzer; Bogdan Savchynskyy; Ahmed Abbas (CoRR, 2022)

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 001; Nhat Ho; Paul Swoboda; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag (AAAI, 2023)

A Multidimensional Analysis of Social Biases in Vision Transformers. - Jannik Brinkmann; Paul Swoboda; Christian Bartelt (ICCV, 2023)

ClusterFuG: Clustering Fully connected Graphs by Multicut. - Ahmed Abbas; Paul Swoboda (ICML, 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 001; Paul Swoboda; Nhat Ho; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag; Mathias Niepert (NeurIPS, 2023)

Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching. - Paul Roetzer; Ahmed Abbas; Dongliang Cao; Florian Bernard; Paul Swoboda (CoRR, 2023)

DOGE-Train: Discrete Optimization on GPU with End-to-End Training. - Ahmed Abbas; Paul Swoboda (AAAI, 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 (ACL (Findings), 2024)

DiscoMatch: Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching. - Paul Roetzer; Ahmed Abbas; Dongliang Cao; Florian Bernard; Paul Swoboda (ECCV (53), 2024)

NSA: Neuro-symbolic ARC Challenge. - Pawel Batorski; Jannik Brinkmann; Paul Swoboda (CoRR, 2025)

Normalized Matching Transformer. - Abtin Pourhadi; Paul Swoboda (CoRR, 2025)

PRL: Prompts from Reinforcement Learning. - Pawel Batorski; Adrian Kosmala; Paul Swoboda (CoRR, 2025)