Neural Spatial Computing: Representation, Modeling, and Learning

【报告信息】 

题目：Neural Spatial Computing: Representation, Modeling, and Learning

报告人：Junhui Hou, Associate Professor, Department of Computer Science, City University of Hong Kong

时间/地点：2025年10月14日（下周二）下午3:00，江湾校区交叉二楼B2005会议室

联系人：陈涛

 

【报告人简介】

Junhui Hou is an Associate Professor with the Department of Computer Science, City University of Hong Kong. His research interests include multi-dimensional visual computing, such as light field, hyperspectral, geometry, and event data. He received the Early Career Award from the Hong Kong Research Grants Council and the Excellent Young Scientists Fund from NSFC. He has served or is serving as an Associate Editor for IEEE TIP, TVCG, TMM, and TCSVT.

 

【报告摘要】

Neural spatial computing—the ability to perceive, reason about, and manipulate geometric data—is fundamental to advancing AI applications in robotics, AR/VR, and autonomous systems. In this talk, Prof. Hou will showcase their efforts to push the boundaries of this field, from the fundamental representation and modeling of 3D scenes to the development of a cross modal and structural learning mechanism. These new perspectives are poised to unlock numerous possibilities.