[1] Simonyan K, Zisserman A. Two-stream convolutional networks for action recognition in videos[C]//Adavances in Neural Information Processing Systems, 2014: 568-576.
[2] Tran D, Bourdev L, Fergus R, et al. Learning spatio temporal features with 3D convolutional networks[C]// 2015 IEEE International Conference on Computer Vision (ICCV), 2015: 4489-4497.
[3] Pei Xiaomin, Fan Huijie, Tang Yandong. Action recognition method of spatio-temporal feature fusion deep learning network [J]. Infrared and Laser Engineering, 2018, 47(2): 0203007. (in Chinese)
[4] Du Yong, Wang W, Wang L. Hierarchical recurrent neural network for skeleton based action recognition[C]//2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015: 1110-1118.
[5] Shahroudy A, Liu J, Ng T -T, et al. NTU RGB+D: A large scale dataset for 3D human activity analysis[C]//Proc CVPR, 2016: 1010-1019.
[6] Zhang Cuiling Lan, Junliang Xing, et al. View adaptive recurrent neural networks for high performance human action recognition from skeleton data[C]//ICCV, 2017.
[7] Li J, Shahroudy A, Xu D, et al. Spatio-temporal lstm with trust gates for 3d human action recognition[C]//ECCV, Springer, 2016: 816-833.
[8] Si Chenyang, Chen Wentao, Wang W. An attention enhanced graph convolutional LSTM network for skeleton-based action recognition[C/OL]//2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).[2019-06-15]. https://arxiv.org/abs/1902.09130.
[9] Yan Sijie, Xiong Yuanjun, Lin Dahua. Spatial temporal graph convolutional networks for skeleton-based action recognition[C]//AAAI, 2018.
[10] Li Chao, Zhong Qiaoyong, Xie Di, et al. Co-occurrence feature learning from skeleton data for action recognition and detection with hierarchical aggregation[C]//IJCAI, 2018.
[11] Zhang Xiangyue, Ding Qinghai, Luo Haibo. Infrared dim target detection algorithm based on improved LCM [J]. Infrared and Laser Engineering, 2017, 46(7): 0726002. (in Chinese)
[12] Wang Zhongyu, Ni Xianyang, Shang Zhendong. Autonomous driving semantic segmentation with convolution neural networks [J]. Optics and Precision Engineering, 2019, 27(11): 0726002. (in Chinese) doi:  10.3788/OPE.20192711.2429
[13] Wu Yanfeng, Wang Yanjie, Sun Haijiang, et al. LSS-target detection in complex sky backgrounds [J]. Chinese Optics, 2019, 12(4): 854−866. (in Chinese)