Author

Raza Imam

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Preprint Aug 2026

On the Robustness of Temporal Vision-Language Models for Surgical Endoscopy Videos

Endo-C6, a compact corruption benchmark of six endoscopy-realistic perturbations evaluated at a fixed high severity, is introduced and RobustEndoCLIP, obtained by few-shot parameter-efficient tuning with VeRA, outperforming existing TVLM baselines are presented.

Darakshan Rashid, Raza Imam, Ufaq Khan et al. · 0 citations

Jul 2026

Can Experts Adapt Without Training? On Test-Time Modality Generalization in MVLMs

MoBE is proposed: a fully optimization-free framework that performs dynamic expert selection and adaptation at test time that combines entropy-guided dynamic routing in MoE settings with expert-wise Bayesian adaptation, enabling experts to update their confidence and adapt online without gradient updates.

Raza Imam, Darakshan Rashid, Yu-Tong Xie et al. · arXiv.org · 1 citation