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Chetan Arora

Indian Institute of Technology Delhi, New Delhi, India.

31 papers hereh-index 222.5k citations112 works total

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

author position
  • middle author9
  • last author22

Across the 31 of 31 papers where every author was matched, so the position is known.

fields
  • cs.CV26
  • eess.IV2
  • cs.AI1
  • cs.RO1
  • cs.SD1
affiliations
  • Indian Institute of Technology Delhi, New Delhi, India.
Homepage
same name
  • Chetan Arora — 16 papers, h 24
  • Chetan Arora — 14 papers, h 6
  • Chetan Arora — 11 papers, h 7
  • Chetan Arora — 7 papers, h 3
  • Chetan Arora — 6 papers, h 2
  • Chetan Arora — 5 papers, 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
20142025
most citedCovidAID: COVID-19 Detection Using Chest X-Ray

132 citations · 332 across the 30 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.CV2023★ 1 cited

Gall Bladder Cancer Detection from US Images with Only Image Level Labels

Soumen Basu, Ashish Papanai, Mayank Gupta +2

Automated detection of Gallbladder Cancer (GBC) from Ultrasound (US) images is an important problem, which has drawn increased interest from researchers. However, most of these wor…

cs.CV2023★ 12 cited

UTRNet: High-Resolution Urdu Text Recognition In Printed Documents

Abdur Rahman, Arjun Ghosh, Chetan Arora

In this paper, we propose a novel approach to address the challenges of printed Urdu text recognition using high-resolution, multi-scale semantic feature extraction. Our proposed U…

cs.RO2023

FinderNet: A Data Augmentation Free Canonicalization aided Loop Detection and Closure technique for Point clouds in 6-DOF separation

Sudarshan S Harithas, Gurkirat Singh, Aneesh Chavan +4

We focus on the problem of LiDAR point cloud based loop detection (or Finding) and closure (LDC) in a multi-agent setting. State-of-the-art (SOTA) techniques directly generate lear…

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