Geometric Deep Neural Network using Rigid and Non-Rigid Transformations for Human Action Recognition

Deep Learning architectures, albeit successful in most computer vision tasks, were designed for data with an underlying Euclidean structure, which is not usually fulfilled since pre-processed data may lie on a non-linear space. In this paper, we propose a geometry aware deep learning approach using ... View More