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Salman H. Khan

25 papers hereh-index 131.1k citations29 works total

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

author position
  • middle author18
  • last author7

Across the 25 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CV22
  • eess.IV3
same name
  • Salman H. Khan — 36 papers, h 30
  • Salman H. Khan — 26 papers, h 12
  • Salman H. Khan — 19 papers, h 8
  • Salman H. Khan — 11 papers, h 6
  • Salman H. Khan — 9 papers, h 4
  • Salman H. Khan — 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
20232025
most citedAlign Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization

14 citations · 29 across the 24 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

eess.IV2025

How Good is my Histopathology Vision-Language Foundation Model? A Holistic Benchmark

Roba Al Majzoub, Hashmat Malik, Muzammal Naseer +4

Recently, histopathology vision-language foundation models (VLMs) have gained popularity due to their enhanced performance and generalizability across different downstream tasks. H…

cs.CV2025

Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology

Hashmat Shadab Malik, Shahina Kunhimon, Muzammal Naseer +2

Adversarial attacks pose significant challenges for vision models in critical fields like healthcare, where reliability is essential. Although adversarial training has been well st…

cs.CV2025★ 1 cited

Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models

Hashmat Shadab Malik, Fahad Shamshad, Muzammal Naseer +3

Multi-modal Large Language Models (MLLMs) excel in vision-language tasks but remain vulnerable to visual adversarial perturbations that can induce hallucinations, manipulate respon…

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