We collect existing papers on skeleton-based action recognition published in prominent conferences and journals. This paper list will be continuously updated at the end of each month.

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Graph convolutional networks (GCNs) enhance the accuracy and performance of skeleton-based action recognition. However, this approach has difficulties in modeling long-term temporal dependencies. In ...