Author

Ashim Dahal

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Preprint Sep 2026

MetaSampling: Making Frame Samplers Efficient for Long-Video Question Answering

Frame selection is an important component of long-video question answering (VQA) with Multimodal Large Language Models (MLLMs). Existing frame-selection methods improve over simple top-$k$ embedding retrieval and uniform sampling, but are typically applied under a fixed global selection budget. We introduce \textbf{Met...

Ashim Dahal, Bikramjit Banerjee · 0 citations

#computer vision Preprint May 2025

Redemption Score: A Multi-Modal Evaluation Framework for Image Captioning via Distributional, Perceptual, and Linguistic Signal Triangulation

Redemption Score is introduced, a novel evaluation framework for multi-modal generation by triangulating three complementary signals: Mutual Information Divergence for global image-text distributional alignment, DINO-based perceptual similarity of cycle-generated images for visual grounding, and LLM Text Embeddings for...

Ashim Dahal, Ankit Ghimire, Saydul Akbar Murad et al. · 0 citations