2 papers
cs.CV2024
Multi-hop graph transformer network for 3D human pose estimation
Zaedul Islam, A. Ben Hamza
Accurate 3D human pose estimation is a challenging task due to occlusion and depth ambiguity. In this paper, we introduce a multi-hop graph transformer network designed for 2D-to-3…
cs.CV2023
Iterative Graph Filtering Network for 3D Human Pose Estimation
Zaedul Islam, A. Ben Hamza
Graph convolutional networks (GCNs) have proven to be an effective approach for 3D human pose estimation. By naturally modeling the skeleton structure of the human body as a graph,…