Overview

Understanding humans in 3D remains at the heart of computer vision advancements. The complexities associated with analyzing human behaviors, postures, and interactions are multifaceted, making them a challenging yet crucial aspect of vision research. Recent developments in the field have brought to light new challenges, including multi-human interaction analysis, fine-grained motion capture, clothed body reconstruction, virtual try-ons and tracking under extreme occlusions. This workshop aims to gather researchers in this field, to assess existing methodologies, understand their limitations, and collaboratively discuss novel approaches to push the boundaries of 3D human understanding in computer vision. To that end, this workshop will feature:

🔥 Invited speakers 🔥 from both the academic and industrial spheres

🔥 An invited poster session 🔥 that covers relevant works accepted at recent top-tier conferences such as CVPR 2024 and NeurIPS/ICCV/CVPR 2023

🔥 A panel discussion 🔥 featuring invited speakers, to foster the exchange of ideas, address limitations, and identify promising research directions

Human Understanding with Various Scenarios and Challenges