Self-supervised Learning of Motion Capture

Hsiao-Yu Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki

May-28-2025, 03:55:13 GMT–Neural Information Processing Systems

Current state-of-the-art solutions for motion capture from a single camera are optimization driven: they optimize the parameters of a 3D human model so that its re-projection matches measurements in the video (e.g.

artificial intelligence, machine learning, segmentation, (18 more...)

Neural Information Processing Systems

May-28-2025, 03:55:13 GMT

Conferences PDF

Add feedback

Country:
- North America > United States (0.68)

Genre:
- Research Report > Promising Solution (0.34)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Inductive Learning (0.83)
    - Neural Networks (1.00)
  - Vision > Video Understanding (0.88)

Duplicate Docs Excel Report

Title
Self-supervised Learning of Motion Capture
Self-supervised Learning of Motion Capture

Similar Docs Excel Report more

Title	Similarity	Source
None found