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From the 1 of 5 linked papers with an AI index.

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20242026
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5 papers

cs.CV2026

Multimodality as Supervision: Self-Supervised Specialization to the Test Environment via Multimodality

Kunal Pratap Singh, Ali Garjani, Rishubh Singh +6

The paper introduces Test-Space Training, a self‑supervised approach that collects multimodal sensor data directly in a target test environment and uses cross‑modal learning to pre…

cs.CV2025

Promptception: How Sensitive Are Large Multimodal Models to Prompts?

Mohamed Insaf Ismithdeen, Muhammad Uzair Khattak, Salman Khan

Despite the success of Large Multimodal Models (LMMs) in recent years, prompt design for LMMs in Multiple-Choice Question Answering (MCQA) remains poorly understood. We show that e…

cs.CV2024

UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities

Muhammad Uzair Khattak, Shahina Kunhimon, Muzammal Naseer +2

Vision-Language Models (VLMs) trained via contrastive learning have achieved notable success in natural image tasks. However, their application in the medical domain remains limite…

cs.CV2024

XDT-CXR: Investigating Cross-Disease Transferability in Zero-Shot Binary Classification of Chest X-Rays

Umaima Rahman, Abhishek Basu, Muhammad Uzair Khattak +1

This study explores the concept of cross-disease transferability (XDT) in medical imaging, focusing on the potential of binary classifiers trained on one disease to perform zero-sh…

cs.CV2024

How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs

Muhammad Uzair Khattak, Muhammad Ferjad Naeem, Jameel Hassan +4

Recent advancements in Large Language Models (LLMs) have led to the development of Video Large Multi-modal Models (Video-LMMs) that can handle a wide range of video understanding t…