| CARVIEW |
I am an Applied Scientist at Amazon Frontier AI & Robotics (FAR). I obtained my PhD from Stanford University, advised by Prof. C. Karen Liu and Prof. Jiajun Wu.
My research interests include human motion modeling and humanoid robot learning, and my long-term goal is to build humanoid agents capable of human-like behaviors that can perceive, move, and interact not only in the virtual world but also in the real world.
Email: jiamanli[at]stanford[dot]edu
Google Scholar / Github / Resume / Twitter
Publications
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Lifting Motion to the 3D World via 2D Diffusion
Jiaman Li, C. Karen Liu†, Jiajun Wu†
CVPR 2025 (Highlight)
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Human-Object Interaction from Human-Level Instructions
Zhen Wu, Jiaman Li, Pei Xu, C. Karen Liu
ICCV 2025
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ZeroHSI: Zero-Shot 4D Human-Scene Interaction by Video Generation
Hongjie Li, Hong-Xing Yu, Jiaman Li, Jiajun Wu
arxiv 2024
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Controllable Human-Object Interaction Synthesis
Jiaman Li, Alexander Clegg, Roozbeh Mottaghi, Jiajun Wu, Xavier Puig†, C. Karen Liu†
ECCV 2024 (Oral)
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Object Motion Guided Human Motion Synthesis
Jiaman Li, Jiajun Wu†, C. Karen Liu†
TOG (SIGGRAPH Asia) 2023
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Motion Question Answering via Modular Motion Programs
Mark Endo*, Joy Hsu*, Jiaman Li, Jiajun Wu
ICML 2023
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CIRCLE: Capture in Rich Contextual Environments
Joao Pedro Araujo, Jiaman Li, Karthik Vetrivel, Rishi Agarwal, Deepak Gopinath, Jiajun Wu, Alexander Clegg, C. Karen Liu
CVPR 2023
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Ego-Body Pose Estimation via Ego-Head Pose Estimation
Jiaman Li, C. Karen Liu†, Jiajun Wu†
CVPR 2023 (Award Candidate)
Distinguished Paper Award at EgoVis Workshop, CVPR 2024
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Scene Synthesis from Human Motion
Sifan Ye*, Yixing Wang*, Jiaman Li, Dennis Park, C. Karen Liu, Huazhe Xu, Jiajun Wu
SIGGRAPH ASIA 2022
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GIMO: Gaze-Informed Human Motion Prediction in Context
Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, C. Karen Liu, Leonidas J. Guibas
ECCV 2022
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DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points
Zhengfei Kuang, Jiaman Li, Mingming He, Tong Wang, Yajie Zhao
ICPR 2022 (Oral)
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Task-Generic Hierarchical Human Motion Prior using VAEs
Jiaman Li, Ruben Villegas, Duygu Ceylan, Jimei Yang, Zhengfei Kuang, Hao Li, Yajie Zhao
3DV 2021
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Dynamic Facial Asset and Rig Generation from a Single Scan
Jiaman Li*, Zhengfei Kuang*, Yajie Zhao, Mingming He, Karl Bladin, Hao Li
TOG (SIGGRAPH ASIA) 2020
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Learning to Generate Diverse Dance Motions with Transformer
Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler, Hao Li
arxiv 2020
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Learning to Act Properly: Predicting and Explaining Affordances from Images
Ching-Yao Chuang, Jiaman Li, Antonio Torralba, Sanja Fidler
CVPR 2018
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VirtualHome: Simulating Household Activities via Programs
Xavier Puig*, Kevin Ra*, Marko Boben*, Jiaman Li, Tingwu Wang, Sanja Fidler, Antonio Torralba
CVPR 2018 (Oral)