Ming-Hsuan Yang

Ming-Hsuan Yang

Ming-Hsuan Yang is a research scientist at Google DeepMind working on vision and learning problems. He is also a professor of Electrical Engineering and Computer Science at the University of California, Merced. He received the Test-of-Time award at WACV 2025, Best Paper award at ICML 2024, Longuet-Higgins Prize at IEEE CVPR 2023, and Best Paper Honorable Mention awards at 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 the IEEE, ACM, and AAAI.
Authored Publications
Sort By
  • Title
  • Title, descending
  • Year
  • Year, descending
    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
Yair Alon
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