Giljoo Nam
Scholar

Giljoo Nam

Google Scholar ID: jNScip4AAAAJ
Meta
Computer VisionComputer GraphicsMachine Learning
Citations & Impact
All-time
Citations
948
 
H-index
14
 
i10-index
17
 
Publications
20
 
Co-authors
64
list available
Resume (English only)
Academic Achievements
  • Published in top-tier conferences including SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, and NeurIPS. Also resulted in multiple successful open-source projects, such as photorealistic avatars, 3D hair modeling, and physically-based rendering of hair.
Research Experience
  • Research Scientist at Meta, United States since 2020.
Education
  • Ph.D. in Computer Science from KAIST, Korea (advisor: Min H. Kim) in 2019.
Background
  • An AI researcher working toward Physical AI: artificial intelligence that learns the structure and behavior of the 3D physical world. Research addresses core problems in computer vision and graphics, spanning generative AI, 3D reconstruction and understanding, motion tracking and animation, physically-based forward and inverse rendering, computational imaging, and human modeling.
Miscellany
  • Email: giljoonam [at] meta.com / namgiljoo [at] gmail.com; Links to CV, LinkedIn, Google Scholar, and Twitter.