Rapid advances in deep learning have propelled a multitude of machine vision applications, for autonomous driving, industrial manufacturing, augmented reality and medical diagnostics. However, the ...
Point Cloud can be considered as non-Euclidean structure data since it is disordered and irregular. When training on point cloud, it is difficult to apply spatial discrete convolution directly. In ...