Author

Omkar Thawakar

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Preprint Aug 2026

How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning?

Magnetic Resonance Imaging (MRI) interpretation is fundamental to clinical decision-making, requiring radiologists to integrate multi-view anatomical planes across sequential timepoints while precisely localizing interval changes. However, existing vision-language benchmarks remain confined to single-timepoint, single-...

Wafa Al Ghallabi, Ritesh Thawkar, Sara Ghaboura et al. · 0 citations

Preprint Sep 2026

Beyond Similarity: Foundation Models as an Efficient Backbone for Training-Free Composed Video Retrieval

Results show that adaptively orchestrating foundation-model capabilities can combine scalable retrieval with fine-grained reasoning without task-specific training, and are shown to be state-of-the-art among training-free approaches.

Dmitry Demidov, Muhammad Zaigham Zaheer, Omkar Thawakar et al. · 0 citations

Preprint Aug 2026

Perception Before Supervision: Self-Contained Visual Distillation from Counterfactual Blind Spots

This work introduces CVPD (Contrastive Counterfactual Visual Process Distillation), which is the first fully self-contained framework for dense, on-policy, token-level visual self-distillation for MLLMs, and proposes a three-gate Counterfactual Criterion that identifies visual blind spots where zooming into a region ch...

Shravan Venkatraman, Omkar Thawakar, Ritesh Thawkar et al. · 2 citations