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16:00-16:20，演讲
16:20-17:00，自由研讨（遵循YOCSEF研讨规则）

16:00-16:20，

1.      Learning to Understand Large-Scale 3D Point Clouds，胡庆拥，University of Oxford

2.      3D Object Detection and Tracking for Autonomous Driving，吴海，Xiamen University

16:20-17:00，自由研讨（遵循YOCSEF研讨规则）

讲者简介：

  胡庆拥

Qingyong Hu is currently a DPhil candidate in the Department of Computer Science at the University of Oxford. He received his M.Eng. degree in information and communication engineering from the National University of Defense Technology (NUDT) in 2018. His research interests lie in 3D computer vision, particularly in the semantic understanding of large-scale 3D point clouds, instance segmentation, and registration. He has published several papers in major journals and conferences including IEEE TPAMI/IJCV/CVPR/NeurIPS. He was fortunately awarded the Huawei UK AI Fellowship in 2021.

吴海

Hai Wu is currently a Ph.D. candidate in the School of Informatics at Xiamen University, Xiamen, China. He received the B.Eng. degree in information computing and science from Sichuan University of Science and Technology, Sichuan, China, in 2018. His research interests lie in 3D object detection and tracking. He has published several papers in journals and conferences including ISPRS P&RS, IJCAI, IEEE TITS and IEEE TGRS.

线上会议。