DAAL: Deep activation-based attribute learning for action recognition in depth videos.

•A new joint semantic preserving action attribute learning framework is proposed for action attribute learning and action recognition from depth videos.•The proposed framework integrates arbitrary semantics in graph regularization.•Extensive experiments on several popular benchmark datasets demonstrate the effectiveness of proposed framework.•An ADMM-based optimization protocol is employed to efficiently solve the joint learning problem.