Lin Geng Foo

Lin Geng Foo is a postdoctoral researcher at the Max-Planck Institute for Informatics under the Visual Computing and Artificial Intelligence (VCAI) Department, supervised by Prof. Christian Theobalt. He earned his PhD and Bachelor's from the Singapore University of Technology and Design (SUTD) with the President's Graduate Fellowship and top honors.

His research focuses on video analysis, activity understanding, diffusion models, and dynamic neural networks, particularly for 3D human generation/editing. His work includes groundbreaking papers on adversarial attacks, human mesh recovery, and pose estimation.

Key trends in his recent publications include applications of

• diffusion models
• dynamic networks
• 3D human modeling
• video analysis
• action recognition
• neural rendering

for tasks like mesh recovery, controllable video editing, and sign language translation.

Scientific awards include

• PREMIA Best Student Paper 2023 Commendation Prize
• Keppel Awards of Excellence (2018, 2019)
• EY Business Analytics Award

He serves as a reviewer for major conferences (CVPR, ICCV, NeurIPS, ICML) and has presented talks at ICME 2024 Metaverse Workshop and SDSC Industry & Demo Day 2024.