Author

Bikramjit Banerjee

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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

#artificial intelligence Jun 2026

ConTraIRL: Factorized Contrastive Abstractions for Transferable IRL

Factorized Contrastive Abstractions for Transferable IRL (ConTraIRL), a framework that enables compositional reward transfer by learning decoupled latent representations of these two factors, is proposed.

Yi-Kang Gui, Bikramjit Banerjee, Prashant Doshi · arXiv.org · 0 citations