Haotian Zhang
I'm a Research Scientist at NVIDIA in the Toronto AI Lab (I am based in Santa Clara, CA). I received my Ph.D. in Computer Science from Stanford University in 2023, where I was advised by Prof. Kayvon Fatahalian . I obtained my B.E. in computer science and technology from Tsinghua University in 2017, where I was advised by Prof. Shi-Min Hu .
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Research
My current research focuses on 3D human motion perception, modeling and generation. If you also work on these topics and are interested in interning with us, please feel free to reach out to me via email.
Synthesizing High-Quality and Controllable Tennis Animation From Real-World Video Collections
Haotian Zhang
Ph.D. in Computer Science, Stanford University, 2023
Generative Motion Infilling from Imprecisely Timed Keyframes
Purvi Goel ,
Haotian Zhang ,
Karen Liu ,
Kayvon Fatahalian
Eurographics , 2025
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HumanoidOlympics: Sports Environments for Physically Simulated Humanoids
Zhengyi Luo ,
Jiashun Wang ,
Kangni Liu ,
Haotian Zhang ,
Chen Tessler ,
Jingbo Wang ,
Ye Yuan ,
Jinkun Cao
Zihui Lin ,
Fengyi Wang ,
Jessica Hodgins ,
Kris Kitani
Arxiv , 2024
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COIN:Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation
Jiefeng Li ,
Ye Yuan ,
Davis Rempe ,
Haotian Zhang ,
Pavlo Molchanov ,
Cewu Lu ,
Jan Kautz ,
Umar Iqbal
ECCV , 2024
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Learning Physically Simulated Tennis Skills from Broadcast Videos
Haotian Zhang ,
Ye Yuan ,
Viktor Makoviychuk ,
Yunrong Guo ,
Sanja Fidler ,
Xue Bin Peng ,
Kayvon Fatahalian
SIGGRAPH , 2023 (Best Paper Honorable Mention)
Two Minute Papers
Spotting Temporally Precise, Fine-Grained Events in Video
James Hong ,
Haotian Zhang ,
Michaël Gharbi ,
Matthew Fisher ,
Kayvon Fatahalian
European Conference on Computer Vision (ECCV) , 2022
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Vid2Player: Controllable Video Sprites that Behave and Appear like Professional Tennis Players
Haotian Zhang ,
Cristobal Sciutto ,
Maneesh Agrawala ,
Kayvon Fatahalian
ACM Transactions on Graphics (TOG) , 2021
Two Minute Papers
Analysis of Faces in a Decade of US Cable TV News
James Hong ,
Will Crichton ,
Haotian Zhang ,
Dan Fu ,
Jacob Ritchie ,
Jeremy Barenholtz ,
Ben Hannel ,
Xinwei Yao ,
Michaela Murray ,
Geraldine Moriba ,
Maneesh Agrawala ,
Kayvon Fatahalian
ACM Conference on Knowledge Discovery and Data Mining (KDD) , 2021
Coherent Video Generation for Multiple Hand-held Cameras with Dynamic Foreground
Fang-Lue Zhang ,
Connelly Barnes ,
Haotian Zhang ,
Junhong Zhao ,
Gabriel Salas
Computational Visual Media , 2020
An Internal Learning Approach to Video Inpainting
Haotian Zhang ,
Long Mai ,
Ning Xu ,
Zhaowen Wang ,
John Collomosse
Hailin Jin
International Conference on Computer Vision (ICCV) , 2019
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
Jingwei Huang ,
Haotian Zhang ,
Li Yi ,
Thomas Funkhouser ,
Matthias Nießner
Leonidas Guibas
Computer Vision and Pattern Recognition (CVPR) , 2019 (Oral presentation)
Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels
Dan Fu ,
Will Crichton ,
James Hong ,
Xinwei Yao ,
Haotian Zhang ,
Anh Truong ,
Avanika Narayan ,
Maneesh Agrawala ,
Christopher Ré ,
Kayvon Fatahalian
ACM Symposium on Operating Systems Principles (SOSP), workshop on AI Systems , 2019
Image-based Clothes Changing System
Zhao-Heng Zheng ,
Haotian Zhang ,
Fang-Lue Zhang ,
Tai-Jiang Mu
Computational Visual Media , 2017
Robust Background Identification for Dynamic Video Editing
Fang-Lue Zhang ,
Xian Wu ,
Haotian Zhang ,
Jue Wang ,
Shi-Min Hu
SIGGRAPH Asia , 2016
