This paper proposes a novel method for human skeleton-based action recognition using a Topology Unshared Graph Convolutional Network (TU-GCN). This approach enhances recognition accuracy and network ...

Human action analysis has recently received growing interest from vision researchers. Since it is often insufficient for a single type of feature derived from action videos to characterize variations ...