Paul Swoboda - RankMe

86 papers A* 24A 1C 1Journal 45Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EvoMU: Evolutionary Machine Unlearning. CoRR Pawel Batorski, Paul Swoboda
2026	J	`jnl`	PLR: Plackett-Luce for Reordering In-Context Learning Examples. CoRR Pawel Batorski, Paul Swoboda
2026	J	`jnl`	REBEL: Hidden Knowledge Recovery via Evolutionary-Based Evaluation Loop. CoRR Patryk Rybak, Pawel Batorski, Paul Swoboda, Przemyslaw Spurek
2026	J	`jnl`	ReLAPSe: Reinforcement-Learning-trained Adversarial Prompt Search for Erased concepts in unlearned diffusion models. CoRR Ignacy Kolton, Kacper Marzol, Pawel Batorski, Marcin Mazur, Paul Swoboda, Przemyslaw Spurek
2026	J	`jnl`	TATRA: Training-Free Instance-Adaptive Prompting Through Rephrasing and Aggregation. CoRR Bartosz Dziuba, Kacper Kuchta, Pawel Batorski, Przemyslaw Spurek, Paul Swoboda
2025	J	`jnl`	GPS: General Per-Sample Prompter. CoRR Pawel Batorski, Paul Swoboda
2025	J	`jnl`	How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need? CoRR Tuan Anh Tran, Duy M. H. Nguyen, Hoai-Chau Tran, Michael Barz, Khoa D. Doan, Roger Wattenhofer, Ngo Anh Vien, Mathias Niepert, Daniel Sonntag, Paul Swoboda
2025	J	`jnl`	NSA: Neuro-symbolic ARC Challenge. CoRR Pawel Batorski, Jannik Brinkmann, Paul Swoboda
2025	J	`jnl`	Normalized Matching Transformer. CoRR Abtin Pourhadi, Paul Swoboda
2025	J	`jnl`	PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data. CoRR Pawel Batorski, Paul Swoboda
2025	J	`jnl`	PRL: Prompts from Reinforcement Learning. CoRR Pawel Batorski, Adrian Kosmala, Paul Swoboda
2024	—	`conf`	A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task. ACL (Findings) Jannik Brinkmann, Abhay Sheshadri, Victor Levoso, Paul Swoboda, Christian Bartelt
2024	J	`jnl`	A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task. CoRR Jannik Brinkmann, Abhay Sheshadri, Victor Levoso, Paul Swoboda, Christian Bartelt
2024	A*	`conf`	DOGE-Train: Discrete Optimization on GPU with End-to-End Training. AAAI Ahmed Abbas, Paul Swoboda
2024	—	`conf`	DiscoMatch: Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching. ECCV (53) Paul Roetzer, Ahmed Abbas, Dongliang Cao, Florian Bernard, Paul Swoboda
2023	A*	`conf`	A Multidimensional Analysis of Social Biases in Vision Transformers. ICCV Jannik Brinkmann, Paul Swoboda, Christian Bartelt
2023	J	`jnl`	A Multidimensional Analysis of Social Biases in Vision Transformers. CoRR Jannik Brinkmann, Paul Swoboda, Christian Bartelt
2023	A*	`conf`	ClusterFuG: Clustering Fully connected Graphs by Multicut. ICML Ahmed Abbas, Paul Swoboda
2023	J	`jnl`	ClusterFuG: Clustering Fully connected Graphs by Multicut. CoRR Ahmed Abbas, Paul Swoboda
2023	J	`jnl`	Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching. CoRR Paul Roetzer, Ahmed Abbas, Dongliang Cao, Florian Bernard, Paul Swoboda
2023	A*	`conf`	Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering. AAAI 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
2023	A*	`conf`	LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. NeurIPS 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
2023	J	`jnl`	LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. CoRR 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
2022	—	`conf`	A Comparative Study of Graph Matching Algorithms in Computer Vision. ECCV (23) Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy
2022	J	`jnl`	A Comparative Study of Graph Matching Algorithms in Computer Vision. CoRR Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy
2022	A*	`conf`	A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching. CVPR Paul Roetzer, Paul Swoboda, Daniel Cremers, Florian Bernard
2022	J	`jnl`	A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching. CoRR Paul Roetzer, Paul Swoboda, Daniel Cremers, Florian Bernard
2022	J	`jnl`	DOGE-Train: Discrete Optimization on GPU with End-to-end Training. CoRR Ahmed Abbas, Paul Swoboda
2022	A*	`conf`	FastDOG: Fast Discrete Optimization on GPU. CVPR Ahmed Abbas, Paul Swoboda
2022	J	`jnl`	Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering. CoRR 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
2022	A*	`conf`	LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. CVPR Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda
2022	A*	`conf`	RAMA: A Rapid Multicut Algorithm on GPU. CVPR Ahmed Abbas, Paul Swoboda
2022	J	`jnl`	Structured Prediction Problem Archive. CoRR Paul Swoboda, Andrea Hornáková, Paul Roetzer, Bogdan Savchynskyy, Ahmed Abbas
2021	A*	`conf`	Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach. NeurIPS Ahmed Abbas, Paul Swoboda
2021	J	`jnl`	Combinatorial Optimization for Panoptic Segmentation: An End-to-End Trainable Approach. CoRR Ahmed Abbas, Paul Swoboda
2021	A*	`conf`	Efficient Message Passing for 0-1 ILPs with Binary Decision Diagrams. ICML Jan-Hendrik Lange, Paul Swoboda
2021	J	`jnl`	FastDOG: Fast Discrete Optimization on GPU. CoRR Ahmed Abbas, Paul Swoboda
2021	J	`jnl`	LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. CoRR Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda
2021	A*	`conf`	Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. ICCV Andrea Hornáková, Timo Kaiser, Paul Swoboda, Michal Rolínek, Bodo Rosenhahn, Roberto Henschel
2021	J	`jnl`	Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. CoRR Andrea Hornáková, Timo Kaiser, Paul Swoboda, Michal Rolínek, Bodo Rosenhahn, Roberto Henschel
2021	J	`jnl`	RAMA: A Rapid Multicut Algorithm on GPU. CoRR Ahmed Abbas, Paul Swoboda
2020	A	`conf`	A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. AISTATS Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy
2020	J	`jnl`	A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. CoRR Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy
2020	—	`conf`	Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. ECCV (28) Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius
2020	J	`jnl`	Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. CoRR Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius
2020	J	`jnl`	Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation. CoRR Stefan Haller, Paul Swoboda, Bogdan Savchynskyy
2020	A*	`conf`	Lifted Disjoint Paths with Application in Multiple Object Tracking. ICML Andrea Hornáková, Roberto Henschel, Bodo Rosenhahn, Paul Swoboda
2020	J	`jnl`	Lifted Disjoint Paths with Application in Multiple Object Tracking. CoRR Andrea Hornáková, Roberto Henschel, Bodo Rosenhahn, Paul Swoboda
2019	A*	`conf`	A Convex Relaxation for Multi-Graph Matching. CVPR Paul Swoboda, Dagmar Kainmüller, Ashkan Mokarian, Christian Theobalt, Florian Bernard
2019	A*	`conf`	Bottleneck Potentials in Markov Random Fields. ICCV Ahmed Abbas, Paul Swoboda
2019	J	`jnl`	Bottleneck potentials in Markov Random Fields. CoRR Ahmed Abbas, Paul Swoboda
2019	A*	`conf`	Combinatorial Persistency Criteria for Multicut and Max-Cut. CVPR Jan-Hendrik Lange, Bjoern Andres, Paul Swoboda
2019	A*	`conf`	HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching. ICCV Florian Bernard, Johan Thunberg, Paul Swoboda, Christian Theobalt
2019	A*	`conf`	MAP Inference via Block-Coordinate Frank-Wolfe Algorithm. CVPR Paul Swoboda, Vladimir Kolmogorov
2018	A*	`conf`	Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation. AAAI Stefan Haller, Paul Swoboda, Bogdan Savchynskyy
2018	J	`jnl`	Higher-order Projected Power Iterations for Scalable Multi-Matching. CoRR Florian Bernard, Johan Thunberg, Paul Swoboda, Christian Theobalt
2018	J	`jnl`	MAP inference via Block-Coordinate Frank-Wolfe Algorithm. CoRR Paul Swoboda, Vladimir Kolmogorov
2018	J	`jnl`	Maximum Persistency via Iterative Relaxed Inference in Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
2017	A*	`conf`	A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. CVPR Paul Swoboda, Jan Kuske, Bogdan Savchynskyy
2017	A*	`conf`	A Message Passing Algorithm for the Minimum Cost Multicut Problem. CVPR Paul Swoboda, Bjoern Andres
2017	—	`conf`	A Novel Convex Relaxation for Non-binary Discrete Tomography. SSVM Jan Kuske, Paul Swoboda, Stefania Petra
2017	A*	`conf`	A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CVPR Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmüller, Bogdan Savchynskyy
2017	—	`conf`	Graphical Model Parameter Learning by Inverse Linear Programming. SSVM Vera Trajkovska, Paul Swoboda, Freddie Åström, Stefania Petra
2016	J	`jnl`	A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. CoRR Paul Swoboda, Jan Kuske, Bogdan Savchynskyy
2016	J	`jnl`	A Message Passing Algorithm for the Minimum Cost Multicut Problem. CoRR Paul Swoboda, Bjoern Andres
2016	J	`jnl`	A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. CoRR Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmueller, Bogdan Savchynskyy
2016	J	`jnl`	Multicuts and Perturb & MAP for Probabilistic Graph Clustering. CoRR Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
2016	J	`jnl`	Multicuts and Perturb & MAP for Probabilistic Graph Clustering. J. Math. Imaging Vis. Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
2016	—	`—`	New convex relaxations and global optimality in variational imaging. Paul Swoboda
2016	J	`jnl`	Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy
2015	J	`jnl`	Maximum Persistency via Iterative Relaxed Inference with Graphical Models. CoRR Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
2015	A*	`conf`	Maximum persistency via iterative relaxed inference with graphical models. CVPR Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
2015	—	`conf`	Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. SSVM Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
2014	A*	`conf`	Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CVPR Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr
2014	J	`jnl`	Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CoRR Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy
2013	—	`conf`	Anatomical landmark detection using multiple instance boosting with spatial regularization. ISBI Paul Swoboda, David Liu, Shaohua Kevin Zhou
2013	J	`jnl`	Convex Variational Image Restoration with Histogram Priors CoRR Paul Swoboda, Christoph Schnörr
2013	J	`jnl`	Convex Variational Image Restoration with Histogram Priors. SIAM J. Imaging Sci. Paul Swoboda, Christoph Schnörr
2013	—	`conf`	Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS Bogdan Savchynskyy, Jörg Hendrik Kappes, Paul Swoboda, Christoph Schnörr
2013	—	`conf`	Partial Optimality via Iterative Pruning for the Potts Model. SSVM Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr
2013	—	`conf`	Variational Image Segmentation and Cosegmentation with the Wasserstein Distance. EMMCVPR Paul Swoboda, Christoph Schnörr
2004	C	`conf`	An Active Functional Intensional Database. DEXA Paul Swoboda, John Plaice
2004	—	`conf`	Moving Omega to an Object-Oriented Platform. TEX, XML, and Digital Typography John Plaice, Yannis Haralambous, Paul Swoboda, Gábor Bella
2002	—	`conf`	Open Problems in Distributed Communities. DCW John Plaice, Paul Swoboda, Jacob Slonim, Michael McAllister
2000	—	`conf`	Building Intensional Communities Using Shared Contexts. DCW John Plaice, Paul Swoboda, Ammar Alammar
1996	J	`jnl`	World Wide Web - Course Tool: An Environment for Building WWW-Based Courses. Comput. Networks Murray W. Goldberg, Sasan Salari, Paul Swoboda