嘉宾简介：Prof. Ziwei Liu is currently an Assistant Professor at Nanyang Technological University, Singapore. Previously, he was a senior research fellow at the Chinese University of Hong Kong and a postdoctoral researcher at University of California, Berkeley. Ziwei received his PhD from the Chinese University of Hong Kong. His research revolves around computer vision, machine learning and computer graphics. He has published extensively on top-tier conferences and journals in relevant fields, including CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, TPAMI, TOG and Nature - Machine Intelligence. He is the recipient of Microsoft Young Fellowship, Hong Kong PhD Fellowship, ICCV Young Researcher Award and HKSTP Best Paper Award. He also serves as an Area Chair of ICCV, NeurIPS and ICLR.
报告题目：Robust and Data-Efficient 3D Perception
报告摘要：Perceiving the underlying 3D world behind RGB and LiDAR sensors has been a long-pursuing goal of computer vision, with extensive real-life applications. It is at the core of embodied intelligence. In this talk, I will discuss our work in robust and data-efficient 3D perception, with an emphasis on learning structural deep representations under incomplete inputs or supervisions. I will also discuss the challenges related to naturally-distributed data (e.g. long-tailed and open-ended) emerged from real-world sensors, and how we can overcome these challenges by incorporating new neural computing mechanisms such as dynamic memory and routing. Our approach has shown its effectiveness and generalizability on a wide range of tasks.