Dave Zhenyu Chen
Scholar

Dave Zhenyu Chen

Google Scholar ID: hon4EsIAAAAJ
Research Scientist, Huawei Noah's Ark Lab
3D Computer VisionGenerative ModelsNovel View SynthesisMultimodal Learning
Citations & Impact
All-time
Citations
1,340
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors (CVPR, 2024)
  • Text2Tex: Text-driven Texture Synthesis via Diffusion Models (ICCV, 2023)
  • UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding (ICCV, 2023)
  • D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding (ECCV, 2022)
  • Scan2Cap: Context-aware Dense Captioning in RGB-D Scans (CVPR, 2021)
  • ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language (ECCV, 2020)
Research Experience
  • Has been conducting full-time research at Prof. Matthias Nießner’s Visual Computing Group at the Technical University of Munich for the past 4 years. Also has a close research collaboration with Prof. Angel Chang at Simon Fraser University, Canada.
Education
  • Currently a PhD candidate at the TUM Visual Computing Group. Advisor is Prof. Matthias Nießner. Prior to the PhD, received a Master's Degree in Informatics from Ludwig Maximilians University of Munich (LMU).
Background
  • Research interests lie at the intersection of Deep Learning, 3D Computer Vision, and Natural Language Processing. Specifically, 3D scene understanding; grounding natural language in 3D environments; text-to-3D synthesis.