Resume

General Information

Full Name Dave Zhenyu Chen (陈振宇)
Date of Birth 19th March 1994
Languages Chinese (native), English (C2), German (B2)

Education

  • 2019 -
    Ph.D.
    Technical University of Munich (TUM), Garching, Germany
    • Grounding Natural Language to 3D Scenes
      • Text-driven object localization in RGB-D scans
      • Automatic description generation for 3D objects
      • Text-to-3D synethesis
  • 2016 - 2018
    Master of Science
    Ludwig Maximilian University of Munich (LMU), Germany
    • Informatics
      • GPA 1.59/1.00 (Top 5%, low is good)
      • 3D Shape Captioning via Self-attentional Cross-Modal Joint Embedding
  • 2012 - 2016
    Bachelor of Engineering
    University of Electronic Science and Technology of China (UESTC), China
    • Computer Science
      • GPA 3.75/4.00 (Top 10%)

Research Experience

  • 2023.1 - 2023.11
    Research Collaboration, 3D Texture Synthesis from text inputs
    Snap Research, Remote
    • Mentored by Hsin-Ying Lee.
    • Designed a new text-to-texture synthesis framework via depth-condititoned diffusion models.
    • Published the work at ICCV 2023.
  • 2022.6 - 2022.11
    Research Collaboration, 3D vision-language fundation models
    Meta AI (FAIR), Remote
    • Mentored by Ronghang Hu & Xinlei Chen.
    • Developed a novel fundation model for 3D vision-language tasks.
    • Published the work at ICCV 2023.
  • 2022.2 - 2022.5
    Visiting Researcher, Unified models for 3D vision-language tasks
    Simon Fraser University (SFU), Canada
    • Mentored by Prof. Dr. Angel X. Chang.
    • Developed a novel unified model for 3D vision-language tasks.
    • Published the work at ECCV 2022.

Review Services

  • 2020 - now
    Conferences
    • CVPR, ECCV, ICCV, NeurIPS, SIGGRAPH, ICRA, WACV, 3DV.
  • 2020 - now
    Journals
    • IJCV, TVCG.

Workshops

  • 2023
    Organizer
    • 3rd Language for 3D Scenes Workshop, ICCV 2023
  • 2022
    Organizer
    • 2nd Language for 3D Scenes Workshop, ECCV 2022
  • 2021
    Organizer
    • 1st Language for 3D Scenes Workshop, CVPR 2021