National University of Singapore（新加坡国立大学）

From physical surfaces to human-centric heat stress: LST and UTCI heat mapping reveals nonlinear effects of urban morphology

超越地表温度：可解释的空间机器学习揭示城市形态对以人类为中心的热压力的影响

Yuan Wang, Shengao Yi, Xiaojiang Li, Pengyuan Liu, Zhiwei Yang, Ronita Bardhan, Rudi Stouffs

机构 * Department of Architecture, National University of Singapore, Singapore 117566, Singapore ； Cambridge Centre for Advanced Research ； Sustainable Design Group, Department of Architecture, University of Cambridge, Cambridge, United Kingdom ； Department of City ； Regional Planning, University of Pennsylvania, Philadelphia, PA 19104, USA ； Urban Analytics Subject Group, Urban Studies \& Social Policy Division, University of Glasgow ； Laboratory for Earth Surface Processes, Ministry of Education, College of Urban ； Environmental Sciences, Peking University, Beijing 100871, China 纠错

AI总结 本文通过比较地表温度与通用热气候指数，揭示城市形态对人类热压力的影响，采用可解释的机器学习方法分析两者在空间分布和机制上的差异。

Comments Accepted manuscript. The final published version is available at https://doi.org/10.1016/j.scs.2026.107659

WorldWander: Bridging Egocentric and Exocentric Worlds in Video Generation

WorldWander：在视频生成中连接自我中心和外中心世界

Quanjian Song, Yiren Song, Kelly Peng, Yuan Gao, Mike Zheng Shou

机构 * Show Lab, National University of Singapore（新加坡国立大学Show实验室） 纠错

AI总结 研究聚焦视频生成中自我中心与外中心世界转换，提出WorldWander框架，基于视频扩散变换器，整合上下文视角对齐与协作位置编码，精心策划数据集，实验证明该框架在视角同步、角色一致性和泛化能力上表现卓越，设定了新基准。

Comments Accepted by ECCV 2026; Code: https://github.com/showlab/WorldWander