Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery

1 code implementation • 24 Mar 2024 • Siddharth Tourani, Ahmed Alwheibi, Arif Mahmood, Muhammad Haris Khan

Second, motivated by the ZeroShot performance, we develop a ULD algorithm based on diffusion features using self-training and clustering which also outperforms prior methods by notable margins.

Clustering Self-Supervised Learning

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.

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

Unsupervised Deep Graph Matching Based on Cycle Consistency

no code implementations • 18 Jul 2023 • Siddharth Tourani, Carsten Rother, Muhammad Haris Khan, Bogdan Savchynskyy

We contribute to the sparsely populated area of unsupervised deep graph matching with application to keypoint matching in images.

Graph Matching