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.
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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)
Unified Visual Relationship Detection with Vision and Language Models
Liangzhe Yuan
Boqing Gong
Yin Cui
International Conference on Computer Vision (ICCV) (2023)
MAGVIT: Masked Generative Video Transformer
Kihyuk Sohn
Han Zhang
Huiwen Chang
Alex Hauptmann
Lu Jiang
CVPR (2023)
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs
Zhiruo Wang
Yonatan Bisk
Alex Hauptmann
Lu Jiang
NeurIPS (2023)
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
COMISR: Compression-Informed Video Super-Resolution
Ce Liu
IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
