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Article "MSMB-GCN: Multi-scale Multi-branch Fusion Graph Convolutional Networks for 3D Human Pose Estimation" Detailed information of the J-GLOBAL is an ...
The human pose has a natural graphic structure. Therefore, in recent years, many studies on human pose estimation is based on Graph Convolutional Networks (GCN) ...
Since human pose can be naturally represented by a graph, graph convolutional networks (GCNs) have recently been proposed for 3D human pose estimation and ...
A novel graph convolutional network architecture, Multi-scale Multi-branch Fusion Graph Convolutional Networks (MSMB-GCN) for 3D Human Pose Estimation (3D ...
In this paper, we propose a novel graph convolutional network architecture, Multi-scale Multi-branch Fusion Graph Convolutional Networks ( ...
The graph convolutional network (GCN) has recently achieved promising performance of 3D human pose esti- mation (HPE) by modeling the relationship among ...
Missing: MSMB- branch Fusion
A novel graph convolutional network architecture, Multi-scale Multi-branch Fusion Graph Convolutional Networks (MSMB-GCN) for 3D Human Pose Estimation (3D ...
Dec 15, 2022 · In this paper, a novel multi-scale attention spatiotemporal GCN (MSA-STGCN) is proposed for human violence action recognition by learning spatiotemporal ...
Missing: MSMB- | Show results with:MSMB-
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[PDF] High-order Graph Convolutional Networks for 3D Human Pose ...
www.bmvc2020-conference.com › ...
Abstract. Graph convolutional networks (GCNs) have been applied to 3D human pose esti- mation (HPE) from 2D body joint detections and have demonstrated ...
Missing: MSMB- branch