Yinyu Nie

Noah`s Ark Lab @ Huawei, UK | Visual Computing & AI Lab @ TUM

About Me

I am a Research Scientist at Huawei Noah’s Ark Lab (UK), and a post-doctoral researcher at TUM Visual Computing & AI Lab with Prof. Matthias Nießner. Before this, I received my Ph.D. at National Centre for Computer Animation, Bournmouth University supervised by Prof. Jian Chang and Prof. Jian J Zhang. My Ph.D. research lies in 3D Deep Learning, Computer Vision, Graphics, and focuses at 3D scene understanding, shape analysis and reconstruction. During my Ph.D., I have visited the Chinese University of Hong Kong (Shenzhen) and Shenzhen Research Institute of Big Data as a visiting researcher advised by Prof. Xiaoguang Han.


3D Computer Vision and Graphics, including

  • 3D Scene Understanding & Reconstruction
  • Shape Analysis & Representation
  • Shape Completion & Reconstruction
  • Human Agent for Embodied AI

Research Experience

  • Huawei Noah’s Ark Lab, London, UK. (Oct 2023 - Present)
    Research Scientist
  • TUM Visual Computing Group, Germany. (April 2021 - Present)
    Post-doctoral researcher
  • National Centre for Computer Animation, U.K. (January 2017 - April 2021)
    Ph.D. student
    Topics: Content-aware indoor scene understanding and modeling
    Supervisors: Prof. Jian Chang, Prof. Jian J Zhang
  • The Chinese University of Hong Kong (Shenzhen), China. (August 2019 - December 2020)
    Visiting Ph.D. student
    Topics: 3D scene understanding and reconstruction.
    Project Instructor: Prof. Xiaoguang Han
  • State Key Laboratory of Traction Power, China. (September 2014 - December 2016)
    Postgraduate researcher
    Topics: Photo-based 3D modelling of train accident scenes; Data-driven vehicle dynamics simulation.
    Supervisor: Zhao Tang.

Academic Services

  • Conference Reviewer: CVPR’22-24, ICCV’23, ECCV’22, ICLR’24, 3DV’22, NeurIPS’23
  • Journal Reviewer: TPAMI, TVCG, CGF, ISPRS, Computers & Graphics

Invited Talks and Lectures

11/2023   3D Data Structures and AI
Invited lecture by Dr. Wenshu Zhang, University of the Arts London, London, UK
11/2023   Self-supervised 3D Reconstruction
Invited talk by Dr. Xiaofei Wu, Noah’s Ark Lab, Huawei, London, UK
09/2023   Towards Self-supervised 3D Scene Understanding and Reconstruction
Invited Talk by Dr. Xiaoguang Han, The Chinese University of Hong Kong (Shenzhen), China
09/2023   3D Scene Understanding, Reconstruction and Generation
Invited Talk by Dr. Qian Yu, Beihang University, Beijing, China
06/2023   Learning 3D Scene Priors with 2D Supervision
Poster Presentation, CVPR 2023, Vancouver, Canada
12/2022   3D Shape Reconstruction from Different Modalities
Invited Talk by Dr. Kai Zhang, Southwest Jiaotong University, Chengdu, China
11/2022   3D Indoor Scene Understanding from Different Modalities
Invited Talk by Dr. Shihui Guo, Xiamen University, Xiamen, China
10/2022   Pose2Room: Understanding 3D Scenes from Human Activities
Poster Presentation, ECCV 2022, Tel-Aviv, Israel
04/2022   Holistic 3D Scene Understanding from Images, Point Clouds and Human Activities
Invited Talk, HiGraphics Workshop 2022, Hirschegg, Austria
06/2021   RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction
Poster Presentation, CVPR 2021, Virtual
12/2020   Skeleton-bridged Point Completion: From Global Inference to Local Adjustment
Poster Presentation, NeurIPS 2020, Virtual
06/2020   Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
Oral Presentation, CVPR 2020, Virtual
05/2018   Semantic Modelling of Indoor Scenes with Support Inference from a Single Photograph
Oral Presentation, CASA 2018, Beijing, China


04/2021-08/2023   Advanced Deep Learning for Computer Vision, TU Munich