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Sourav Garg

15 papers hereh-index 6128 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author12
  • last author1

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.RO7
  • cs.AI1
same name
  • Sourav Garg — 31 papers, h 23
  • Sourav Garg — 1 paper, h 10
  • Sourav Garg — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedQueSTMaps: Queryable Semantic Topological Maps for 3D Scene Understanding

2 citations · 6 across the 14 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

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 However, these maps quickly become outdated as…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…

cs.RO2025★ 1 cited

TANGO: Traversability-Aware Navigation with Local Metric Control for Topological Goals

Stefan Podgorski, Sourav Garg, Mehdi Hosseinzadeh +3

Visual navigation in robotics traditionally relies on globally-consistent 3D maps or learned controllers, which can be computationally expensive and difficult to generalize across…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.