DOGE-Train: Discrete Optimization on GPU with End-to-End Training.
|
AAAI |
2024 |
0 |
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering.
|
AAAI |
2023 |
0 |
ClusterFuG: Clustering Fully connected Graphs by Multicut.
|
ICML |
2023 |
0 |
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching.
|
NIPS/NeurIPS |
2023 |
0 |
A Multidimensional Analysis of Social Biases in Vision Transformers.
|
ICCV |
2023 |
0 |
A Comparative Study of Graph Matching Algorithms in Computer Vision.
|
ECCV |
2022 |
1 |
A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching.
|
CVPR |
2022 |
1 |
RAMA: A Rapid Multicut Algorithm on GPU.
|
CVPR |
2022 |
0 |
FastDOG: Fast Discrete Optimization on GPU.
|
CVPR |
2022 |
0 |
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking.
|
CVPR |
2022 |
0 |
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths.
|
ICCV |
2021 |
15 |
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach.
|
NIPS/NeurIPS |
2021 |
4 |
Efficient Message Passing for 0-1 ILPs with Binary Decision Diagrams.
|
ICML |
2021 |
0 |
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment.
|
AISTATS |
2020 |
4 |
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers.
|
ECCV |
2020 |
63 |
Lifted Disjoint Paths with Application in Multiple Object Tracking.
|
ICML |
2020 |
79 |
A Convex Relaxation for Multi-Graph Matching.
|
CVPR |
2019 |
28 |
Bottleneck Potentials in Markov Random Fields.
|
ICCV |
2019 |
2 |
Combinatorial Persistency Criteria for Multicut and Max-Cut.
|
CVPR |
2019 |
0 |
MAP Inference via Block-Coordinate Frank-Wolfe Algorithm.
|
CVPR |
2019 |
0 |
HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching.
|
ICCV |
2019 |
0 |
Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation.
|
AAAI |
2018 |
8 |
Maximum Persistency via Iterative Relaxed Inference in Graphical Models.
|
TPAMI |
2018 |
0 |
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems.
|
CVPR |
2017 |
0 |
A Message Passing Algorithm for the Minimum Cost Multicut Problem.
|
CVPR |
2017 |
0 |
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching.
|
CVPR |
2017 |
0 |
Partial Optimality by Pruning for MAP-Inference with General Graphical Models.
|
TPAMI |
2016 |
0 |
Maximum persistency via iterative relaxed inference with graphical models.
|
CVPR |
2015 |
21 |
Partial Optimality by Pruning for MAP-Inference with General Graphical Models.
|
CVPR |
2014 |
26 |
Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation.
|
NIPS/NeurIPS |
2013 |
20 |