Author:
Ding Wenwen,Zhou GuangHui,Ding ChongYang,Li Guang,Liu Kai
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing
Reference72 articles.
1. 3D convolutional neural networks for human action recognition;Ji;IEEE Trans. Pattern Anal. Mach. Intell.,2012
2. Q. Ke, M. Bennamoun, S. An, F. Sohel, F. Boussaid, A new representation of skeleton sequences for 3d action recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 3288–3297.
3. Y. Du, W. Wang, L. Wang, Hierarchical recurrent neural network for skeleton based action recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 1110–1118.
4. W. Li, L. Wen, M.-C. Chang, S. Nam Lim, S. Lyu, Adaptive rnn tree for large-scale human action recognition, in: Proceedings of the IEEE International Conference on Computer Vision, 2017, pp. 1444–1452.
5. An efficient and effective convolutional auto-encoder extreme learning machine network for 3d feature learning;Wang;Neurocomputing,2016
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献