◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

S. Agarwal

16 papers hereh-index 334.1k citations183 works total

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

author position
  • first author3
  • middle author12
  • last author1

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV13
  • cond-mat.str-el1
  • cs.LG1
  • stat.ML1
same name
  • S. Agarwal — 23 papers, h 20
  • S. Agarwal — 16 papers, h 11
  • S. Agarwal — 12 papers, h 26
  • S. Agarwal — 11 papers, h 7
  • S. Agarwal — 11 papers, h 5
  • S. Agarwal — 10 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
20202026
most citedTrustMark: Universal Watermarking for Arbitrary Resolution Images

3 citations · 13 across the 13 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

FiLM-CAM: Keyed Feature Modulation for Conditional-Access Watermarking

Yash Kulthe, Vishal Asnani, Shruti Agarwal +2

We propose FiLM-CAM; a conditional-access image watermarking approach that enforces authorized encoding, decoding, and removal through keyed feature modulation. A secret key condit…

cs.CV2026

Signpost Watermarking: Joint Optimization for Visual Watermark Coexistence

Shruti Agarwal, Vishal Asnani, John Collomosse

We present a method for training imperceptible visual watermarks to coexist with other such watermarks. Recent work has shown that independently trained image watermarking models c…

cs.CV2026

FlowMark: Mask-Guided Video Watermarking

Vishal Asnani, Shruti Agarwal, John Collomosse

We present FlowMark, a video watermarking framework guided by automatically predicted object masks. In contrast to prior region-based approaches that require user-supplied mask gui…

cs.CV2026★ 1 cited

TokenTrace: Multi-Concept Attribution through Watermarked Token Recovery

Li Zhang, Shruti Agarwal, John Collomosse +2

Generative AI models pose a significant challenge to intellectual property (IP), as they can replicate unique artistic styles and concepts without attribution. While watermarking o…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.