Abstract: This paper introduces a novel dynamic graph learning approach for frequency graphs, underpinned by a suite of baseline methodologies and the Multi-scale Controllable Graph Convolutional ...
Abstract: In human body action recognition, graph convolutional networks (GCNs) show remarkable capability, compared to other deep learning (DL) methods, in capturing latent correlations within the ...