Safe social navigation requires a robot to anticipate not only the future consequences of its actions, but also whether a nominal action can actually be executed under surrounding physical and social constraints. We present Social-WM, an efficient latent world-model planning framework trained from egocentric RGB video...
This work introduces ReVA, a new dataset for remote sensing video question answering, designed to assess spatiotemporal, scene-centric, and reasoning-oriented capabilities of MLLMs, and develops a semi-automatic annotation pipeline that leverages Text LLMs and MLLMs for question-answer generation with human verificatio...
Zhen Yao, Li-Kai Wang, Yu-Ming Yang et al.· 2 citations
TextFM is presented, the first language-guided feature matching framework that incorporates domain-invariant semantic information from vision-language models (VLMs) to establish a strong foundation for robust and generalizable feature matching under real-world constraints.
Zhihao Zheng, Jinglun Feng, Nirav Savaliya et al.· 2 citations
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