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researcher

S. Paul

21 papers hereh-index 191.9k citations44 works total

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

author position
  • first author7
  • middle author14

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CV16
  • cs.LG5
same name
  • S. Paul — 250 papers, h 43
  • S. Paul — 59 papers, h 9
  • S. Paul — 53 papers
  • S. Paul — 39 papers, h 11
  • S. Paul — 34 papers, h 20
  • S. Paul — 32 papers, h 11

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
20182023
most citedAdversarial Perturbations Against Real-Time Video Classification Systems

74 citations · 135 across the 18 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.LG2018

Trajectory-based Learning for Ball-in-Maze Games

Sujoy Paul, Jeroen van Baar

Deep Reinforcement Learning has shown tremendous success in solving several games and tasks in robotics. However, unlike humans, it generally requires a lot of training instances.…

cs.CV2018

Incorporating Scalability in Unsupervised Spatio-Temporal Feature Learning

Sujoy Paul, Sourya Roy, Amit K. Roy-Chowdhury

Deep neural networks are efficient learning machines which leverage upon a large amount of manually labeled data for learning discriminative features. However, acquiring substantia…

cs.LG2018★ 74 cited

Adversarial Perturbations Against Real-Time Video Classification Systems

Shasha Li, Ajaya Neupane, Sujoy Paul +4

Recent research has demonstrated the brittleness of machine learning systems to adversarial perturbations. However, the studies have been mostly limited to perturbations on images…

cs.CV2018★ 1 cited

W-TALC: Weakly-supervised Temporal Activity Localization and Classification

Sujoy Paul, Sourya Roy, Amit K Roy-Chowdhury

Most activity localization methods in the literature suffer from the burden of frame-wise annotation requirement. Learning from weak labels may be a potential solution towards redu…

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