الباحثون

Yunshuang Nie

المنشورات 2

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EWAM: Emergent Depth-Wise Specialization in a Unified Embodied Model -- From Semantic Understanding through Visual Foresight to Action

Hao Wang, Jiajun Wen, Jingzhi Liu وآخرون · 2026

Vision-language-action (VLA) policies emphasize semantic understanding, whereas world-action models (WAMs) learn predictive representations of environment dynamics. Systems that expose a policy to both sources often still concentrate action computation on a single expert. We present EWAM, an action-centric unified embo …

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VR-JEPA: Learning Contrastive-State Latent Guidance for Generation-based Video Reasoning

Zehua Ma, Kun Xiang, Yunshuang Nie وآخرون · 2026

Reasoning through video generation offers a promising path toward visual intelligence by modeling latent visual states and their dynamics. However, current video generation models often lack explicit guidance on how these states should evolve, leaving generated trajectories prone to physical and structural inconsistenc …

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