Prof. Li Cheng

September 4th, 2026 – 1:00-2:00 pm, EC4-2101A

Recent advancements in sensing and deep learning have unlocked exciting possibilities for the visual analysis of human and animal motions in the physical 3D space. These innovations hold great potential for applications across diverse domains, including for example natural user interfaces, AR/VR, robotics, and gaming. In this talk, I will present the latest research progress in this rapidly evolving field including especially 3D human motion generation, pose tracking and shape reconstruction, and related tasks – highlighting key developments from the past few years as well as contributions from our own work.