Ming-Hsuan Yang

Ming-Hsuan Yang

Ming-Hsuan Yang is a research scientist at Google working on vision and learning problems. He is also a professor of Electrical Engineering and Computer Science at University of California, Merced. He received Longuet-Higgins Prize at IEEE CVPR 2023, Best Paper Honorable Mention in IEEE CVPR 2018 and ACM UIST 2017. He is a recipient of the Faculty Early Career Development (CAREER) Award from the National Science Foundation in 2012 and Google Faculty Award in 2009. He is a Fellow of IEEE and ACM.
Authored Publications
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    Google
VideoPoet: A Large Language Model for Zero-Shot Video Generation
Dan Kondratyuk
Xiuye Gu
Jonathan Huang
Grant Schindler
Rachel Hornung
Vighnesh Birodkar
Jimmy Yan
Ming-Chang Chiu
Hassan Akbari
Josh Dillon
Agrim Gupta
Meera Hahn
Anja Hauth
David Hendon
Alonso Martinez
Kihyuk Sohn
Xuan Yang
Huisheng Wang
Lu Jiang
ICML (2024)
Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
Nitesh Bharadwaj Gundavarapu
Luca Versari
Kihyuk Sohn
Agrim Gupta
Xiuye Gu
Alex Hauptmann
Boqing Gong
Lu Jiang
ICLR (2024)
Beyond SOT: Tracking Multiple Generic Objects at Once
Christoph Mayer
Martin Danelljan
Vittorio Ferrari
Luc Van Gool
WACV'24 (2024)
Contextualized Spatial-Temporal Contrastive Learning with Self-Supervision
Liangzhe Yuan
Rui Qian
Yin Cui
Boqing Gong
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 13977-13986