Niloofar Azizi*

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…