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cs.CV2026
Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts
Madhav Gupta, Vishak Prasad C, Ganesh Ramakrishnan
Subset selection-based methods are widely used to explain deep vision models: they attribute predictions by highlighting the most influential image regions and support object-level…
cs.CV2025
Early Exit and Multi Stage Knowledge Distillation in VLMs for Video Summarization
Anas Anwarul Haq Khan, Utkarsh Verma, Ganesh Ramakrishnan
We introduce DEEVISum (Distilled Early Exit Vision language model for Summarization), a lightweight, efficient, and scalable vision language model designed for segment wise video s…
cs.CV2025
Enhancing Multi-Image Question Answering via Submodular Subset Selection
Aaryan Sharma, Shivansh Gupta, Samar Agarwal +2
Large multimodal models (LMMs) have achieved high performance in vision-language tasks involving single image but they struggle when presented with a collection of multiple images…