Assistant Professor
College of Computing and Data Science
Nanyang Technological University
Email: ziwei.liu at ntu.edu.sg
Prof. Ziwei Liu is a Nanyang Assistant Professor (2020-) at College of Computing and Data Science in Nanyang Technological University, with MMLab@NTU.
Previously, he was a research fellow (2018-2020) in CUHK with Prof. Dahua Lin and a post-doc researcher (2017-2018) in UC Berkeley with Prof. Stella Yu. His research interests include computer vision, machine learning and computer graphics.
Ziwei received his Ph.D. (2013-2017) from CUHK, Multimedia Lab, advised by Prof. Xiaoou Tang and Prof. Xiaogang Wang. He is fortunate to have internships at Microsoft Research and Google Research.
Ziwei is the recipient of MIT Technology Review Innovators under 35 Asia Pacific, ICBS Frontiers of Science Award, CVPR Best Paper Award Candidate and WAIC Yunfan Award.
His works have been transferred to products, including Microsoft Pix, SenseGo and Google Clips.
[2024-07] Yuanhan is recognized as IJCV Outstanding Reviewer Award.
[2024-07] Wildlife Identification is selected as WAIC 2024 Young Researcher Outstanding Paper Award.
[2024-06] DGCNN is selected as Second Most Cited Paper in TOG History.
[2024-06] Lingdong won the first place in Waymo Open Dataset Challenge.
[2024-06] Invited talk (slides) at CVPR 2024 Workshop on AI for Content Creation.
[2024-06] Invited talk (slides) at CVPR 2024 Workshop on Efficient and On-Device Generation.
[2024-06] Invited talk (slides) at CVPR 2024 Workshop on Learning 3D with Multi-View Supervision.
[2024-06] Invited talk (slides) at CVPR 2024 Workshop on Open World Vision.
[2024-06] Invited talk (slides) at CVPR 2024 Workshop on Computer Vision in the Wild.
[2024-06] We are organizing CVPR 2024 Workshop on Prompting in Vision.
[2024-06] We are organizing CVPR 2024 Workshop on Egocentric Body Motion.
[2024-04] We are hosting CVPR 2024 VBench Text-to-Video Generation Challenge.
[2024-01] 7 papers accepted to ICLR 2024 (1 oral and 1 spotlight).
[2024-01] Invited talk (slides) at WACV 2024 Workshop on Efficient Learning for Face Analysis.