Human motion prediction is challenging due to the complex spatiotemporal feature modeling. Among all methods, graph convolution networks (GCNs) are extensively utilized because of their superiority in ...

To overcome these problems, we propose a novel motion-guided graph convolutional transformer (MG-GCT) for traffic gesture recognition. Firstly, we proposed a two-stream network to fully utilize joint ...