STRFormer: Spatial–Temporal–ReTemporal Transformer for 3D human pose estimation
X Liu, H Tang - Image and Vision Computing, 2023 - Elsevier
Transformer-based methods have emerged as the golden standard in 2D-3D human pose
estimation from video sequences, largely thanks to their powerful spatial–temporal feature …
estimation from video sequences, largely thanks to their powerful spatial–temporal feature …
MPA-GNet: multi-scale parallel adaptive graph network for 3D human pose estimation
R Jia, H Yang, L Zhao, X Wu, Y Zhang - The Visual Computer, 2023 - Springer
Graph convolutional networks (GCNs) have achieved remarkable performance in the 2D-to-
3D human pose estimation (HPE) task. The adjacency matrix in GCNs is crucial for feature …
3D human pose estimation (HPE) task. The adjacency matrix in GCNs is crucial for feature …
Relation-balanced graph convolutional network for 3D human pose estimation
L Chen, Q Liu - Image and Vision Computing, 2023 - Elsevier
Graph convolutional networks (GCNs) have been applied to 2D-to-3D human pose
estimation (HPE) and have shown encouraging performance. However, existing GCNs …
estimation (HPE) and have shown encouraging performance. However, existing GCNs …