Mar 15, 2022 · This paper proposes a more comprehensive two-stream GCN architecture containing the vertex-domain graph convolution and the spectral graph convolution based on ...
SkeleMotion: A new representation of skeleton joint sequences based on motion information for 3D action recognition. In 16th IEEE international conference on ...
Abstract: Skeleton-based action recognition is attracting more and more attention owing to the general representation ability of skeleton data. The Graph ...
Mar 15, 2022 · This paper proposes a more comprehensive two-stream GCN architecture containing the vertex-domain graph convolution and the spectralgraph ...
Skeleton-based action recognition is attracting more and more attention owing to the gen- eral representation ability of skeleton data. The Graph Convolutional ...
We propose a novel feature reconstruction graph convolutional network (FR-GCN) for skeleton-based action recognition.
Mar 15, 2022 · Skeleton-based action recognition is attracting more and more attention owing to the general representation ability of skeleton data. The Graph ...
We propose the actional-structural graph convolution networks (AS-GCN) for skeleton-based action recognition. The A-link inference module captures actional ...
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In this paper, a spatially adaptive residual graph convolutional network (SARGCN) is proposed for action recognition based on skeleton feature extraction.
May 28, 2024 · This study introduces an independent dual graph attention convolutional network (IDGAN). Specifically, IDGAN additionally incorporates an instinctive attention ...