Juze Zhang
I'm currently a visiting scholar at Stanford Translational AI Lab (STAI) and Stanford Vision and Learning Lab (SVL) hosted by Prof. Ehsan Adeli, and a PhD student at the Visual & Data Intelligence Center (VDI Center), ShanghaiTech Universiy, under the guidance of Prof. Jingya Wang, Prof. Jingyi Yu, and Prof. Lan Xu.
I am passionate about human-centric motion perception, interaction, and generation, with a focus on developing foundational agents capable of perceiving, understanding, and interacting with the 3D world.
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Github
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The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion
Changan Chen*, Juze Zhang*,
Shrinidhi Kowshika Lakshmikanth*,
Yusu Fang, Ruizhi Shao,
Gordon Wetzstein,
Li Fei-Fei,
Ehsan Adeli,
arXiv, 2024
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arXiv
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HOI-M3: Capture Multiple Humans and Objects Interaction within Contextual Environment
Juze Zhang*,
Jingyan Zhang*,
Zining Song,
Zhanhe Shi,
Chengfeng Zhao,
Ye Shi,
Jingyi Yu,
Lan Xu,
Jingya Wang,
CVPR, 2024, Highlight
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arXiv /
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I’M HOI: Inertia-aware Monocular Capture of 3D Human-Object Interactions
Chengfeng Zhao,
Juze Zhang,
Jiashen Du,
Ziwei Shan,
Junye Wang,
Jingyi Yu,
Jingya Wang,
Lan Xu,
CVPR, 2024
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arXiv /
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BOTH2Hands: Inferring 3D Hands from Both Text Prompts and Body Dynamics
Wenqian Zhang,
Molin Huang,
Yuxuan Zhou,
Juze Zhang,
Jingyi Yu,
Jingya Wang,
Lan Xu,
CVPR, 2024
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arXiv /
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dataset
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NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions
Juze Zhang,
Haimin Luo,
Hongdi Yang,
Xinru Xu,
Qianyang Wu,
Ye Shi,
Jingyi Yu,
Lan Xu,
Jingya Wang,
CVPR, 2023
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arXiv /
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IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation
Juze Zhang,
Ye Shi,
Yuexin Ma,
Lan Xu,
Jingyi Yu,
Jingya Wang,
AAAI, 2023, oral
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arXiv /
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Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDAR
Peishan Cong,
Yiteng Xu,
Yiming Ren,
Juze Zhang,
Lan Xu,
Jingya Wang,
Jingyi Yu,
Yuexin Ma,
AAAI, 2023, oral
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arXiv /
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Mutual Adaptive Reasoning for Monocular 3D Multi-Person Pose Estimations
Juze Zhang,
Jingya Wang,
Ye Shi,
Fei Gao,
Lan Xu,
Jingyi Yu,
ACMMM, 2022
arXiv /
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