A collection of papers on skeleton-based human action recognition.
Self-Attention Network for Skeleton-based Human Action Recognition. Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu and Hassan Foroosh. WACV 2020. [arXiv]
Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition. Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, and Qi Tian. CVPR 2019. [PDF]
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition. Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, and Tieniu Tan. CVPR 2019. [PDF]
Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition. Rui Zhao, Kang Wang, Hui Su and Qiang Ji. ICCV2019. [PDF]
Bayesian Hierarchical Dynamic Model for Human Action Recognition. Rui Zhao, Wanru Xu, Hui Su and Qiang Ji. CVPR 2019. [PDF]
Making the Invisible Visible: Action Recognition Through Walls and Occlusions. Tianhong Li, Lijie Fan, Mingmin Zhao, Yingcheng Liu and Dina Katabi. ICCV 2019. [PDF]
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition. Diogo C Luvizon, Hedi Tabia and David Picard. Submitted to TPAMI. [arXiv]
Skeleton-Based Action Recognition with Directed Graph Neural Networks. Lei Shi, Yifan Zhang, Jian Cheng, and Hanqing Lu. CVPR 2019. [PDF]
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks. Lei Shi, Yifan Zhang, Jian Cheng and Hanqing Lu. [arXiv]
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition. Lei Shi, Yifan Zhang, Jian Cheng and Hanqing Lu. CVPR 2019. [PDF] [GitHub]
2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning. CVPR 2018. [PDF]
Deep Progressive Reinforcement Learning for Skeleton-based Action Recognition. CVPR 2018. [PDF]
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning. Chenyang Si, Ya Jing, Wei Wang, Liang Wang, and Tieniu Tan. ECCV 2018. [PDF]
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition. Sijie Yan, Yuanjun Xiong and Dahua Lin. AAAI 2018. [arXiv] [GitHub]