I am dedicated on human-centered AI, in particular on human behavior perceiving and synthesis in 3D scenes. This is an intersection area between computer vision, machine learning, computer graphics, robotics, and cognitive science. The goal is to capture high-quality human motions and infer behavioural intentions from various modalities, learn generative models of human behaviour, and synthesize it in novel environments. The core scientific challenge is to understand why and how our bodies move. The donwstream applications include digital scene population, synthetic data creation, computer-aidded design, game/VFX, smart home, healthcare, and beyond. I am actively exploring and implementing solutions to real world problems, in order to make our lives better.
I am currently a postdoc researcher at Computer Vision and Learning Group (VLG), ETH Zurich, working with Prof. Siyu Tang. Before I was a research intern at Perceiving Systems Department, MPI Tuebingen, working with Prof. Michael J. Black. I got my PhD degree at Ulm University with magna cum laude, supervised by Prof. Heiko Neumann.
Learning Motion Priors for 4D Human Body Capture in 3D Scenes
Conference: International Conference on Computer Vision (ICCV 2021) oral presentation
Grasping Field: Learning Implicit Representations for Human Grasps
Conference: International Virtual Conference on 3D Vision (3DV) 2020 oral presentation & best paper
Generating 3D People in Scenes without People
Conference: Computer Vision and Pattern Recognition (CVPR) 2020 oral presentation