Angela Dai
Scholar

Angela Dai

Google Scholar ID: g-tGztMAAAAJ
Technical University of Munich
Computer GraphicsComputer Vision
Citations & Impact
All-time
Citations
16,218
 
H-index
41
 
i10-index
66
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • Developed and published significant research results and technologies, including but not limited to: ScanNet, BundleFusion, SG-NN.
Research Experience
  • Led or participated in several research projects such as ScanNet (Richly-annotated 3D Reconstructions of Indoor Scenes), BundleFusion (Real-time Globally-Consistent 3D Reconstruction), and SG-NN (Self-Supervised 3D Scan Completion).
Background
  • Focused on attaining a 3D understanding of the world around us, including 3D reconstruction and semantic understanding from commodity RGB-D sensor data, leveraging generative 3D deep learning towards enabling understanding and interaction with 3D scenes for content creation and virtual or robotic agents.