MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models

no code implementations • ECCV 2018 • Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy

Dense, discrete Graphical Models with pairwise potentials are a powerful class of models which are employed in state-of-the-art computer vision and bio-imaging applications.

6D Pose Estimation using RGB Computer Vision

Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization

1 code implementation • 16 Apr 2020 • Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy

We consider the maximum-a-posteriori inference problem in discrete graphical models and study solvers based on the dual block-coordinate ascent rule.