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Partial Optimality by Pruning for MAP-Inference with General Graphical
  Models
v1v2 (latest)

Partial Optimality by Pruning for MAP-Inference with General Graphical Models

24 October 2014
Paul Swoboda
Alexander Shekhovtsov
Jörg H. Kappes
Christoph Schnörr
Bogdan Savchynskyy
ArXiv (abs)PDFHTML

Papers citing "Partial Optimality by Pruning for MAP-Inference with General Graphical Models"

12 / 12 papers shown
Title
Structured Prediction Problem Archive
Structured Prediction Problem Archive
Paul Swoboda
Bjoern Andres
Andrea Hornáková
Florian Bernard
Jannik Irmai
Paul Roetzer
Bogdan Savchynskyy
David Stein
Ahmed Abbas
79
7
0
04 Feb 2022
Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference
  on Noisy Stable Instances
Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances
Hunter Lang
Aravind Reddy
David Sontag
Aravindan Vijayaraghavan
33
3
0
26 Feb 2021
Graph cuts always find a global optimum for Potts models (with a catch)
Graph cuts always find a global optimum for Potts models (with a catch)
Hunter Lang
David Sontag
Aravindan Vijayaraghavan
39
1
0
07 Nov 2020
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical
  Models
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models
Siddharth Tourani
Alexander Shekhovtsov
Carsten Rother
Bogdan Savchynskyy
83
21
0
16 Apr 2020
Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation
Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation
Stefan Haller
Paul Swoboda
Bogdan Savchynskyy
50
9
0
14 Apr 2020
Discrete graphical models -- an optimization perspective
Discrete graphical models -- an optimization perspective
Bogdan Savchynskyy
69
26
0
24 Jan 2020
Image Labeling Based on Graphical Models Using Wasserstein Messages and
  Geometric Assignment
Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment
Ruben Hühnerbein
Fabrizio Savarino
Freddie Åström
Christoph Schnörr
60
11
0
04 Oct 2017
A discriminative view of MRF pre-processing algorithms
A discriminative view of MRF pre-processing algorithms
Chen Wang
Charles Herrmann
Ramin Zabih
18
0
0
08 Aug 2017
Global Hypothesis Generation for 6D Object Pose Estimation
Global Hypothesis Generation for 6D Object Pose Estimation
Frank Michel
Alexander Kirillov
Eric Brachmann
Alexander Krull
Stefan Gumhold
Bogdan Savchynskyy
Carsten Rother
80
118
0
07 Dec 2016
Image Labeling by Assignment
Image Labeling by Assignment
Freddie Åström
Stefania Petra
Bernhard Schmitzer
Christoph Schnörr
76
57
0
16 Mar 2016
Higher Order Maximum Persistency and Comparison Theorems
Higher Order Maximum Persistency and Comparison Theorems
Alexander Shekhovtsov
77
8
0
04 May 2015
Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference
Efficient Semidefinite Branch-and-Cut for MAP-MRF Inference
Peng Wang
Chunhua Shen
Anton Van Den Hengel
Philip Torr
68
3
0
20 Apr 2014
1