Published On Oct 7, 2024
Invited Talk: Hanbyul Joo
Abstract: In this talk, I will present our lab's efforts to scale and enrich 3D human motion data by capturing everyday human movements and natural human-object interactions. I will begin by describing our new multi-camera system, ParaHome, designed to capture human-object interactions in a natural home environment. Next, I will introduce MocapEve, a lightweight, cost-effective motion capture solution that uses two smartwatches and a head-mounted camera, enabling full-body 3D motion capture in diverse settings. Finally, I will discuss our recent work, CHRUS and COMa, which enable machines to model comprehensive affordances for 3D objects by leveraging pre-trained 2D diffusion models, allowing for unbounded object interactions.