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Han-Xin Zhu

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#artificial intelligence Preprint Oct 2026

VAMR: Multi-Question Agentic Reasoning for Efficient Long-Form Video Understanding

Long-form video understanding often involves multiple questions about different aspects of the same recording. Yet existing video agents typically process each question through an isolated tool-use trajectory. This repeatedly restarts video exploration and memory construction, missing opportunities to acquire evidence...

Run-Quan Gui, Han-Zhu Chen, Ze-Hao Wang et al. · 0 citations
Preprint Sep 2026

VideoTok4D: A 4D-Aware Video Tokenizer for Compact World Representation

VideoTok4D, a novel 4D-aware video tokenizer for compact world representation that achieves state-of-the-art performance while requiring up to 4 orders of magnitude less storage than dense 4D representations, and substantially shortens diffusion sequences, enabling efficient generation.

Xin-Yi Chen, Han-Xin Zhu, Xi-Jun Wang et al. · 1 citation

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