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researcher

S. Chandrasekaran

24 papers hereh-index 354.8k citations126 works total

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

author position
  • first author3
  • middle author19
  • last author2

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.CR5
  • math.NA3
  • cs.LG2
  • math.DS2
  • cs.AI1
same name
  • S. Chandrasekaran — 13 papers, h 17
  • S. Chandrasekaran — 12 papers, h 9
  • S. Chandrasekaran — 3 papers, h 5
  • S. Chandrasekaran — 3 papers, h 3
  • S. Chandrasekaran — 2 papers, h 1
  • S. Chandrasekaran — 1 paper

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
20102024
most citedDetecting GAN generated Fake Images using Co-occurrence Matrices

54 citations · 98 across the 23 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

stat.ML2020

Predicting Generalization in Deep Learning via Local Measures of Distortion

Abhejit Rajagopal, Vamshi C. Madala, Shivkumar Chandrasekaran +1

We study generalization in deep learning by appealing to complexity measures originally developed in approximation and information theory. While these concepts are challenged by th…

cs.CV2020★ 4 cited

Exploiting Context for Robustness to Label Noise in Active Learning

Sudipta Paul, Shivkumar Chandrasekaran, B. S. Manjunath +1

Several works in computer vision have demonstrated the effectiveness of active learning for adapting the recognition model when new unlabeled data becomes available. Most of these…

eess.IV2020★ 10 cited

Detection, Attribution and Localization of GAN Generated Images

Michael Goebel, Lakshmanan Nataraj, Tejaswi Nanjundaswamy +3

Recent advances in Generative Adversarial Networks (GANs) have led to the creation of realistic-looking digital images that pose a major challenge to their detection by humans or c…

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