activity
20202026
most citedLeveraging Cycle-Consistent Anchor Points for Self-Supervised RGB-D Registration

2 citations · 5 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO2026

MASt3R-Nav: WayPixel Navigation in Relative 3D Maps

Vansh Garg, Rohit Jayanti, Krish Pandya +5

Visual navigation ability is strongly tied to its underlying representation of the world. Unlike classical 3D maps that require globally-consistent geometry, image- or object-relat…

cs.CV2025

SegMASt3R: Geometry Grounded Segment Matching

Rohit Jayanti, Swayam Agrawal, Vansh Garg +4

Segment matching is an important intermediate task in computer vision that establishes correspondences between semantically or geometrically coherent regions across images. Unlike…

cs.CV2025★ 2 cited

Leveraging Cycle-Consistent Anchor Points for Self-Supervised RGB-D Registration

Siddharth Tourani, Jayaram Reddy, Sarvesh Thakur +3

With the rise in consumer depth cameras, a wealth of unlabeled RGB-D data has become available. This prompts the question of how to utilize this data for geometric reasoning of sce…

cs.CV2024

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

Siddharth Tourani, Ahmed Alwheibi, Arif Mahmood +1

Unsupervised landmarks discovery (ULD) for an object category is a challenging computer vision problem. In pursuit of developing a robust ULD framework, we explore the potential of…

cs.CV2023★ 2 cited

Unsupervised Deep Graph Matching Based on Cycle Consistency

Siddharth Tourani, Carsten Rother, Muhammad Haris Khan +1

We contribute to the sparsely populated area of unsupervised deep graph matching with application to keypoint matching in images. Contrary to the standard \emph{supervised} approac…

cs.LG2020

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

Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother +1

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. This w…

cs.LG2020★ 1 cited

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

Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother +1

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