Computer Vision: A Journey of Pursuing 3D World Understanding

发布者:闻天明发布时间:2023-11-23浏览次数:93

Speaker:  Xiaoming LiuMichigan State University.


Time:       10:00-12:00, Dec. 5th

Location: 1A 200, SIST

Host:        Xuming He


Abstract:

We are living in a 3D world. When a camera takes a picture or video, many of the 3D information inevitably get lost due to the camera projection. As one of the most active fields in AI, computer vision aims to develop algorithms that can derive meaningful information from the visual content. One fundamental quest of computer vision is to recover the 3D information, and thus enables a faithful 3D understanding of the world through the lens of the camera. In this talk, I will share some of our experiences in pursuing the 3D world understanding, addressing problems such as 3D reconstruction, 3D detection, depth estimation, velocity estimation, etc. The solutions to these problems have been applied to applications including biometrics, autonomous driving, and digital human/face.  In the end, I will also briefly overview other research efforts in the Computer Vision Lab at Michigan State University, such as AIGC for vision tasks, anti-deepfake, anti-spoofing, etc.

Bio:

Dr. Xiaoming Liu is the MSU Foundation Professor, and Anil and Nandita Jain Endowed Professor at the Department of Computer Science and Engineering of Michigan State University (MSU). He received Ph.D. degree from Carnegie Mellon University in 2004. He works on computer vision, machine learning, and biometrics especially on face related analysis and 3D vision. Since 2012 he helps to develop a strong computer vision area in MSU who is ranked top 15 in US according to the 5-year statistics at csrankings.org. He has been Area Chairs for numerous conferences, the Co-Program Chair of BTAS’18, WACV’18, IJCB’22 and AVSS’22 conferences, and Co-General Chair of FG’23 conference. He is an Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence. He has authored more than 200 scientific publications, and has filed 29 U.S. patents. His work has been cited over 20000 times according to Google Scholar, with an H-index of 73. He is a fellow of The Institute of Electrical and Electronics Engineers (IEEE) and International Association for Pattern Recognition (IAPR).