Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding

Understanding human behavior fundamentally relies on accurate 3D human pose estimation. Graph Convolutional Networks (GCNs) have recently shown promising advancements, delivering state-of-the-art performance with rather lightweight architectures. In the context of graph-structured data, leveraging t...

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Hauptverfasser:	Azizi, Niloofar, Fayyaz, Mohsen, Bischof, Horst
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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