Yue Chen

Hello! My name is Yue Chen (in chinese: 陈越).

I am actively seeking a a machine learning researcher/engineer position to deepen my exploration and contribution to the field of artificial intelligence.

I completed my Master's Degree in Robotics, Cognition, Intelligence (RCI) at the Technical University of Munich (TUM) in 2024, engaging in research in the Visual Computing & AI Lab. Prior to this, I earned my Bachelor's Degree in Mechanical Engineering from TUM in 2021.

Email  /  CV (English)  /  CV (German)  /  Linkedin  /  Github

Research

I'm interested in computer vision, computer graphics, deep learning, generative AI, and image processing. My recent work has concentrated on neural rendering, such as 3D scene reconstruction, surface material analysis, and relighting for NeRF.

Using multi-bounce monte-carlo ray tracing to decompose accurate material properties and lighting conditions of a NeRF scene.

Performing 3D scene representation with implicit SDF and estimating light visibility with explicit mesh, reducing the visibility computation time from 150+ hours to 5 minutes.

Incorporating graph neural networks to model the spatial relationships among object proposals, generating surrounding-aware features.

Design and source code from Jon Barron's website