works on

From the 1 of 11 linked papers with an AI index.

activity
20242026
collaborators

11 papers

cs.CV2026

SILICA: Repurposing Diffusion Priors for Joint Glass Segmentation and Depth Estimation

Tarun R, Anuj Verma, Laksh Nanwani +2

Standard depth sensors systematically fail on transparent surfaces, creating corrupted 3D maps and severe navigation hazards. While specialized hardware sensors can detect glass, t…

cs.RO2026

PixelLoop: Shortcut Topological Navigation with Pixel-Level Loops

Sarthak Chittawar, Vansh Garg, Aditya Vadali +4

PixelLoop adds loop closures directly in pixel space to create dense topological shortcuts for visual navigation, enabling more reliable any-point-to-any-point planning and improvi…

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

SceneEdited: A City-Scale Benchmark for 3D HD Map Updating via Image-Guided Change Detection

Chun-Jung Lin, Tat-Jun Chin, Sourav Garg +1

Accurate, up-to-date High-Definition (HD) maps are critical for urban planning, infrastructure monitoring, and autonomous navigation. However, these maps quickly become outdated as…

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.RO2025

ObjectReact: Learning Object-Relative Control for Visual Navigation

Sourav Garg, Dustin Craggs, Vineeth Bhat +5

Visual navigation using only a single camera and a topological map has recently become an appealing alternative to methods that require additional sensors and 3D maps. This is typi…