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Yan Zhang

Research Scientist
Meshcapade
yan@meshcapade.com


homepage at ETH Zurich

homepage at MPI Tuebingen

About Me

I am currently a machine learning scientist at Meshcapade, working on Human Foundation Models. My researches have been covering human motion and behavior modeling, 3D human perception, generative models, etc., as well as their applications in mixed reality, embodied AI, architecture design, and others.

During 2020-2023, I was a postdoc researcher at VLG, ETH Zurich, supervised by Prof. Siyu Tang. I got my PhD degree at June 2020 from Ulm University, Germany, supervised by Prof. Heiko Neumann. During 2018-2020, I was a research intern at Max-Planck Institute for Intelligent Systems, working with Prof. Siyu Tang, Prof. Michael J. Black, and other PS folks. Please see more details in my CV.

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Teaching

Co-supervised Student Projects at ETH Zurich

Lectures at ETH Zurich

Seminars at ETH Zurich

Recent Publications

    Please see the full publication list at Google Scholar
  1. ICCV
    Synthesizing Diverse Human Motions in 3D Indoor Scenes
    Kaifeng Zhao, Yan Zhang, Shaofei Wang, Thabo Beeler, Siyu Tang
    IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
    Generative motion pritimives + RL to synthesize lifelike behavior in 3D scenes.
    PDF Code Project Page
  2. ICCV
    Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
    Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu Tang
    IEEE/CVF International Conference on Computer Vision (ICCV), 2023. (ORAL)
    A scene-conditioned diffusion model regresses 3D bodies from single images. The denoising process guided by COAP solves interpenetration.
    PDF Code Project Page
  3. CVPR
    The wanderings of odysseus in 3D scenes
    Yan Zhang, Siyu Tang
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
    Generative motion pritimives + RL to synthesize locomotion behavior of diverse human identities. Featured at the homepage of ETH Zurich.
    PDF Code Project Page
  4. CVPR
    We are More than Our Joints: Predicting how 3D Bodies Move
    Yan Zhang, Michael J. Black, Siyu Tang
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
    A novel marker-based body representation for stochastic motion prediction.
    PDF Code Project Page
  5. CVPR
    Generating 3d people in scenes without people
    Yan Zhang, Mohamed Hassan, Heiko Neumann, Michael J Black, Siyu Tang
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (ORAL) .
    generative model to populate scenes + test-time optimization
    PDF Code Project Page
  6. CVPR
    Local temporal bilinear pooling for fine-grained action parsing
    Yan Zhang, Siyu Tang, Krikamol Muandet, Christian Jarvers, Heiko Neumann
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
    A novel plug-in bilinear pooling layer for fine-grained action segmentation.
    PDF Code Project Page
  7. ECCV
    Egobody: Human body shape and motion of interacting people from head-mounted devices
    Siwei Zhang, Qianli Ma, Yan Zhang, Zhiyin Qian, Taein Kwon, Marc Pollefeys, Federica Bogo & Siyu Tang
    European Conference on Computer Vision (ECCV), 2022.
    A dataset of people interactions in 3D scenes, captured by Kinects and Hololens.
    PDF Code Project Page
  8. ICCV
    Learning motion priors for 4d human body capture in 3d scenes
    Siwei Zhang, Yan Zhang, Federica Bogo, Marc Pollefeys, Siyu Tang
    IEEE/CVF International Conference on Computer Vision (ICCV), 2021 (ORAL) .
    Marker motion priors to capture body motions in 3D scenes.
    PDF Code Project Page


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