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Ashutosh Trivedi

4 papers hereh-index 218 citations4 works total

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

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.AI1
  • cs.IR1
same name
  • Ashutosh Trivedi — 6 papers, h 4
  • Ashutosh Trivedi — 6 papers, h 4
  • Ashutosh Trivedi — 3 papers, h 2
  • Ashutosh Trivedi — 2 papers, h 2
  • Ashutosh Trivedi — 1 paper, h 2

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

collaborators

4 papers

cs.IR2026

Search over the Visual World: Persistent Visual Memory, Layered Indexes, and Source-Grounded Evidence

Sankalp Nagaonkar, Rohit Garg, Ankit Raj +2

Most video-retrieval systems assume a bounded corpus and return ranked files or timestamps. Agents operating over cameras, screens, streams, and archives face a different systems p…

cs.AI2026

BarrierBench: Evaluating Large Language Models for Safety Verification in Dynamical Systems

Ali Taheri, Alireza Taban, Sadegh Soudjani +1

Safety verification of dynamical systems via barrier certificates is essential for ensuring correctness in autonomous applications. Synthesizing these certificates involves discove…

cs.CV2026

Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene Understanding

Shivam Sharma, Sankalp Nagaonkar, Ashish Choithani +1

We benchmark how internal reasoning traces, which we call thought streams, affect video scene understanding in vision-language models. Using four configurations of Google's Gemini…

cs.CV2025

Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video Environments

Sankalp Nagaonkar, Augustya Sharma, Ashish Choithani +1

This paper introduces an open-source benchmark for evaluating Vision-Language Models (VLMs) on Optical Character Recognition (OCR) tasks in dynamic video environments. We present a…

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