Paul Swoboda

29 papers · 2013–2024 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (8) 🗺️ Taxonomy Completionist (53) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🏃 Academic Marathon (11) 🧭 Keyword Pioneer 🔬 Deep Specialist (18) 🏆 Keyword Champion (7) 🧬 Topic Evolution 🗃️ Keyword Collector (116) 💎 Century Club (29) 🔥 Unstoppable (6) ⚡ Prolific Year (5)

Conferences

CVPR (12) ICCV (4) ECCV (3) ICML (3) NIPS (3) AAAI (2) ACL (1) AISTATS (1)

Top co-authors

Bogdan Savchynskyy (7) Ahmed Abbas (7) Florian Bernard (5) Carsten Rother (3) Roberto Henschel (3) Daniel Sonntag (3) Duy M. H. Nguyen (3) Bodo Rosenhahn (3) Paul Roetzer (2) Christian Theobalt (2)

Keywords

combinatorial optimization (13) message passing (7) map inference (5) markov random field (5) graph matching (4) integer linear programming (4) graphical model (4) structured prediction (3) convex relaxation (3) discrete optimization (3) linear programming relaxation (3) energy minimization (3) multiple object tracking (2) graph clustering (2) representation learning (2) correlation clustering (2) contrastive learning (2) transfer learning (2) medical imaging (2) self-supervised learning (2)

Papers

DOGE-Train: Discrete Optimization on GPU with End-to-End Training AAAI 2024

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

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching NIPS 2023

Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering AAAI 2023

A Multidimensional Analysis of Social Biases in Vision Transformers ICCV 2023

ClusterFuG: Clustering Fully connected Graphs by Multicut ICML 2023

RAMA: A Rapid Multicut Algorithm on GPU CVPR 2022

A Comparative Study of Graph Matching Algorithms in Computer Vision ECCV 2022

FastDOG: Fast Discrete Optimization on GPU CVPR 2022

A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching CVPR 2022

LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking CVPR 2022

Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach NIPS 2021

Efficient Message Passing for 0–1 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

Combinatorial Persistency Criteria for Multicut and Max-Cut CVPR 2019

MAP Inference via Block-Coordinate Frank-Wolfe Algorithm CVPR 2019

Bottleneck Potentials in Markov Random Fields ICCV 2019

HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching ICCV 2019

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

A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems 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 NIPS 2013