Paul Swoboda
30 papers · 2013–2026 · 8 venues · across top CS/AI venues
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Research topics
Mathematics & Optimization
(21)
Optimization
(20)
Machine Learning
(18)
Computer Vision
(15)
Optimization & Theory
(12)
Analysis
(11)
Core Methods
(9)
Deep Learning
(8)
Artificial Intelligence
(7)
Core AI Β· Artificial Intelligence
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Computer Science
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Core AI Β· Computer Vision
(3)
Keywords
combinatorial optimization
(13)
message passing
(7)
map inference
(5)
markov random field
(5)
integer linear programming
(4)
graph matching
(4)
graphical model
(4)
structured prediction
(3)
convex relaxation
(3)
discrete optimization
(3)
linear programming relaxation
(3)
energy minimization
(3)
graph clustering
(2)
representation learning
(2)
multiple object tracking
(2)
correlation clustering
(2)
contrastive learning
(2)
transfer learning
(2)
medical imaging
(2)
self-supervised learning
(2)
Papers
PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data
ACL 2026
A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task
ACL 2024
DiscoMatch: Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching
ECCV 2024
DOGE-Train: Discrete Optimization on GPU with End-to-End Training
AAAI 2024
A Multidimensional Analysis of Social Biases in Vision Transformers
ICCV 2023
ClusterFuG: Clustering Fully connected Graphs by Multicut
ICML 2023
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering
AAAI 2023
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
NeurIPS 2023
A Comparative Study of Graph Matching Algorithms in Computer Vision
ECCV 2022
A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching
CVPR 2022
FastDOG: Fast Discrete Optimization on GPU
CVPR 2022
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking
CVPR 2022
RAMA: A Rapid Multicut Algorithm on GPU
CVPR 2022
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach
NeurIPS 2021
Efficient Message Passing for 0β1 ILPs with Binary Decision Diagrams
ICML 2021
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths
ICCV 2021
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment
AISTATS 2020
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
ECCV 2020
Lifted Disjoint Paths with Application in Multiple Object Tracking
ICML 2020
A Convex Relaxation for Multi-Graph Matching
CVPR 2019
Bottleneck Potentials in Markov Random Fields
ICCV 2019
Combinatorial Persistency Criteria for Multicut and Max-Cut
CVPR 2019
HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching
ICCV 2019
MAP Inference via Block-Coordinate Frank-Wolfe Algorithm
CVPR 2019
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems
CVPR 2017
A Message Passing Algorithm for the Minimum Cost Multicut Problem
CVPR 2017
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching
CVPR 2017
Maximum Persistency via Iterative Relaxed Inference With Graphical Models
CVPR 2015
Partial Optimality by Pruning for MAP-inference with General Graphical Models
CVPR 2014
Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation
NeurIPS 2013