Dynamic Dense Graph Convolutional Network for Skeleton-Based Human Motion Prediction

Graph Convolutional Networks (GCN) which typically follows a neural message passing framework to model dependencies among skeletal joints has achieved high success in skeleton-based human motion prediction task. Nevertheless, how to construct a graph from a skeleton sequence and how to perform messa...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 29., Seite 1-15
Auteur principal:	Wang, Xinshun (Auteur)
Autres auteurs:	Zhang, Wanying, Wang, Can, Gao, Yuan, Liu, Mengyuan
Format:	Article en ligne
Langue:	English
Publié:	2024
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article