Action-conditioned world models offer a promising foundation for generalist robotic intelligence by predicting the consequences of actions. However, existing robotic datasets provide limited coverage of the diverse interaction dynamics required for generalizable world modeling. Large-scale egocentric human videos offer...
Pei-Cheng Tu, Cong Wang, Han-Xin Zhu et al.· 0 citations
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
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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