The Speakers
Prof. Ziwei Liu
Prof. Ziwei Liu is currently a Nanyang Assistant Professor at Nanyang Technological University, Singapore. 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, SIGGRAPH, TPAMI, TOG and Nature - Machine Intelligence, with over 30,000 citations. He is the recipient of Microsoft Young Fellowship, Hong Kong PhD Fellowship, ICCV Young Researcher Award, HKSTP Best Paper Award, CVPR Best Paper Award Candidate, WAIC Yunfan Award, ICBS Frontiers of Science Award and MIT Technology Review Innovators under 35 Asia Pacific. He has won the championship in major computer vision competitions, including DAVIS Video Segmentation Challenge 2017, MSCOCO Instance Segmentation Challenge 2018, FAIR Self-Supervision Challenge 2019, Video Virtual Try-on Challenge 2020 and Computer Vision in the Wild Challenge 2022. He is also the lead contributor of several renowned computer vision benchmarks and softwares, including CelebA, DeepFashion, MMHuman3D and MMFashion. He serves as an Area Chair of CVPR, ICCV, NeurIPS and ICLR, as well as an Associate Editor of IJCV.
Prof. Xin Yu
Xin Yu is a Senior Lecturer in the University of Queensland. Previously, he was a research fellow at the Australian National University (ANU). He received a PhD degree from Tsinghua University supervised by Prof. Li Zhang. He also received his PhD degree from the Australian National University under the supervision of Prof. Richard Hartley, Prof. Fatih Porikli and Dr. Basura Fernando. His research interests cover a wide range of topics in Computer Vision and Machine Learning. He has published more than 50 papers on top-tier conference papers and journals, such as CVPR, ECCV, NeurIPS, ICLR, TPAMI, and IJCV. Dr. Yu was awarded the Outstanding Reviewer in ECCV 2020, CVPR 2021, ICCV 2021. He also received Best Paper Honorable Mention Award in WACV 2020, and his paper was nominated for the Best Paper Award in CVPR 2020. He is a recipient of Google Research Scholar Award in 2021 (one of the five recipients in machine perception world-wide). He also won several Challenge champions in the workshops of CVPR, ACCV, etc.
Dr. Feng Liu
Dr. Feng Liu is currently a postdoctoral researcher at the Computer Vision Lab of Michigan State University, working under the guidance of Prof. Xiaoming Liu. He received his Ph.D. in Computer Science from Sichuan University. he has engaged deeply with a variety of topics in computer vision, machine learning and vision-based human-AI interaction, with a particular focus on 3D scene understanding, as well as biometric recognition methods like facial and gait recognition, and person re-identification. He is deeply interested in exploring how 3D models can enhance biometric recognition and the potential applications of AI-generated content (AIGC) in biometrics. He has published numerous papers in top-tier venues like TPAMI, IJCV, CVPR, NeurIPS, ICCV, and ECCV.