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Found 3 papers, 2 papers with code
Self-Supervised 3D Human Pose Estimation in Static Video Via Neural Rendering
Inferring 3D human pose from 2D images is a challenging and long-standing problem in the field of computer vision with many applications including motion capture, virtual reality, surveillance or gait analysis for sports and medicine.
Unsupervised Human Pose Estimation through Transforming Shape Templates
Human pose estimation is a major computer vision problem with applications ranging from augmented reality and video capture to surveillance and movement tracking.
Topological Information Retrieval with Dilation-Invariant Bottleneck Comparative Measures
Appropriately representing elements in a database so that queries may be accurately matched is a central task in information retrieval; recently, this has been achieved by embedding the graphical structure of the database into a manifold in a hierarchy-preserving manner using a variety of metrics.
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