Spatial-Temporal Graph Convolution Networks for skeleton-based Action Recognition

Human Action Recognition forms a vital research area under Computer Vision so-much-so that it has it's own niche - Human Computer Interactions. The applications are endless in robotics, surveillance, etc. Skeletons are invariant to viewpoints and can be thought of as a graph with the bones as edges and joints as nodes