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Shrikanth S. Narayanan

38 papers hereh-index 9283 citations49 works total

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

author position
  • middle author7
  • last author30

Across the 37 of 38 papers where every author was matched, so the position is known.

fields
  • eess.AS11
  • cs.SD8
  • cs.CL7
  • cs.CV4
  • cs.LG3
  • cs.CR1
same name
  • Shrikanth S. Narayanan — 12 papers, h 3
  • Shrikanth S. Narayanan — 11 papers, h 1
  • Shrikanth S. Narayanan — 9 papers, h 4
  • Shrikanth S. Narayanan — 8 papers, h 4
  • Shrikanth S. Narayanan — 6 papers, h 2
  • Shrikanth S. Narayanan — 6 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
20242026
collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Rethinking Visual Privacy: A Compositional Privacy Risk Framework for Severity Assessment with VLMs

Efthymios Tsaprazlis, Tiantian Feng, Anil Ramakrishna +3

Existing visual privacy benchmarks largely treat privacy as a binary property, labeling images as private or non-private based on visible sensitive content. We argue that privacy i…

cs.CV2025

Assessing Visual Privacy Risks in Multimodal AI: A Novel Taxonomy-Grounded Evaluation of Vision-Language Models

Efthymios Tsaprazlis, Tiantian Feng, Anil Ramakrishna +2

Artificial Intelligence have profoundly transformed the technological landscape in recent years. Large Language Models (LLMs) have demonstrated impressive abilities in reasoning, t…

cs.CV2024

Towards Child-Inclusive Clinical Video Understanding for Autism Spectrum Disorder

Aditya Kommineni, Digbalay Bose, Tiantian Feng +6

Clinical videos in the context of Autism Spectrum Disorder are often long-form interactions between children and caregivers/clinical professionals, encompassing complex verbal and…

cs.CV2024

Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding

Tuo Zhang, Tiantian Feng, Yibin Ni +7

Large vision-language models (VLMs) have demonstrated remarkable abilities in understanding everyday content. However, their performance in the domain of art, particularly cultural…

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