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researcher

Rama Chellappa

4 papers hereh-index 8208 citations27 works total

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

author position
  • middle author1
  • last author3

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

fields
  • cs.CV2
  • cs.AI1
  • cs.CL1
same name
  • Rama Chellappa — 27 papers, h 8
  • Rama Chellappa — 16 papers, h 7
  • Rama Chellappa — 3 papers
  • Rama Chellappa — 1 paper, h 6
  • Rama Chellappa — 1 paper
  • Rama Chellappa — 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
20242026
most citedAddressing cognitive bias in medical language models

10 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

The Gait Signature of Frailty: Transfer Learning based Deep Gait Models for Scalable Frailty Assessment

Laura McDaniel, Basudha Pal, Crystal Szczesny +5

Frailty is a condition in aging medicine characterized by diminished physiological reserve and increased vulnerability to stressors. However, frailty assessment remains subjective,…

cs.CV2025

Test-Time-Scaling for Zero-Shot Diagnosis with Visual-Language Reasoning

Ji Young Byun, Young-Jin Park, Navid Azizan +1

As a cornerstone of patient care, clinical decision-making significantly influences patient outcomes and can be enhanced by large language models (LLMs). Although LLMs have demonst…

cs.AI2024

ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution

Corban Rivera, Grayson Byrd, William Paul +12

Robotic planning and execution in open-world environments is a complex problem due to the vast state spaces and high variability of task embodiment. Recent advances in perception a…

cs.CL2024★ 10 cited

Addressing cognitive bias in medical language models

Samuel Schmidgall, Carl Harris, Ime Essien +7

There is increasing interest in the application large language models (LLMs) to the medical field, in part because of their impressive performance on medical exam questions. While…

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