CVPR 2025 Workshop
June 11 (Wed), 2025 Room 105B, Music City Center, Nashville, Tennessee
Over the past years, human pose estimation research has achieved remarkable progress—primarily focusing on capturing local, camera-centric body poses. Yet real-world applications demand a deeper understanding: one that integrates global spatial context and the full trajectories of human movement. In environments as diverse as robotics, sports analytics, virtual reality, and autonomous systems, the ability to accurately track and interpret human motion on a global scale is becoming increasingly essential.
Despite significant advances in deep learning and local pose estimation, methods that consider the complete, global context remain underexplored. This gap means that many state-of-the-art solutions, while impressive in controlled settings, fall short when applied to complex, dynamic scenarios where understanding motion in world coordinates is critical.
The Global 3D Human Poses (G3P) workshop is designed to bridge this gap by focusing on innovative techniques that incorporate trajectory data into pose estimation. By fostering collaboration among researchers and practitioners, the workshop will delve into new methodologies, address emerging challenges, and discuss the transformative potential of global pose estimation. Ultimately, the insights and innovations presented here are poised to push the boundaries of computer vision and pave the way for more robust, real-world applications in interactive systems and beyond.
(MPI Perceiving Systems)
(Seoul National University)
(UC Berkeley)
(Carnegie Mellon University)
Time | Event |
---|---|
08:45 - 09:00 | Welcome & Intro |
09:00 - 09:30 | Invite Talk #1 (Prof. Michael J. Black): Estimating human motion in world coordinates |
09:30 - 10:00 | Invite Talk #2 (Prof. Hanbyul Joo): Understanding 3D Humans in Contextual 3D Spaces |
10:00 - 10:30 | Winner Talks |
10:30 - 11:00 | Breaks |
11:00 - 11:30 | Invite Talk #3 (Prof. Kris Kitani): Modeling Interacting Humans |
11:30 - 12:00 | Invite Talk #4 (Prof. Angjoo Kanazawa): How to Train Your Humanoid (from Video) |
12:00 - 12:30 | Closing |
We also host the competition from the FIFA Skeletal Tracking Innovation Programme. It features a public training split along with internally prepared validation and test splits. The challenge aims to advance the state-of-the-art in global pose estimation by evaluating submissions on a realistic and practical setting.
For more information about the challenge, please refer to the FIFA's Challenge Page for reference.
ETH Zürich
ETH Zürich
ETH Zürich & HKUST
Carnegie Mellon University
Seoul National University
NVIDIA Research
ETH Zürich
For further inquiries, please email us at .