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Graph convolutional networks (GCNs) have been widely used and achieved remarkable results in skeleton-based action recognition.
Spectral networks and locally connected networks on graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun · 2013
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Learning actionlet ensemble for 3d human action recognition
Jiang Wang, Zicheng Liu, Ying Wu, and Junsong Yuan · 2013
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Cross-view action modeling, learning and recognition
Jiang Wang, Xiaohan Nie, Yin Xia, Ying Wu, and Song-Chun Zhu · 2014
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Hierarchical recurrent neural network for skeleton based action recognition
Yong Du, Wei Wang, and Liang Wang · 2015
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Convolutional networks on graphs for learning molecular fingerprints
David K Duvenaud, Dougal Maclaurin, Jorge Iparraguirre, Rafael Bombarell, Timothy Hirzel, Alán Aspuru-Guzik, and Ryan P Adams · 2015
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Differential recurrent neural networks for action recognition
Vivek Veeriah, Naifan Zhuang, and Guo-Jun Qi · 2015
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Convolutional neural networks on graphs with fast localized spectral filtering
Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
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Spatio-temporal lstm with trust gates for 3d human action recognition
Jun Liu, Amir Shahroudy, Dong Xu, and Gang Wang · 2016
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Learning convolutional neural networks for graphs
Mathias Niepert, Mohamed Ahmed, and Konstantin Kutzkov · 2016
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Ntu rgb+ d: A large scale dataset for 3d human activity analysis
Amir Shahroudy, Jun Liu, Tian-Tsong Ng, and Gang Wang · 2016
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Ensemble deep learning for skeleton-based action recognition using temporal sliding lstm networks
Inwoong Lee, Doyoung Kim, Seoungyoon Kang, and Sanghoon Lee · 2017
Cited alongside, same era.
Skeleton-based human action recognition with global context-aware attention lstm networks
Jun Liu, Gang Wang, Ling-Yu Duan, Kamila Abdiyeva, and Alex C Kot · 2017
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Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio · 2017
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Learning clip representations for skeleton-based 3d action recognition
Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Sohel, and Farid Boussaid · 2018
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Chao Li, Qiaoyong Zhong, Di Xie, and Shiliang Pu · 2018
An attention enhanced graph convolutional lstm network for skeleton-based action recognition
Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, and Tieniu Tan · 2019
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Condconv: Conditionally parameterized convolutions for efficient inference
Brandon Yang, Gabriel Bender, Quoc V. Le, and Jiquan Ngiam · 2019
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Bayesian graph convolution lstm for skeleton based action recognition
Rui Zhao, Kang Wang, Hui Su, and Qiang Ji · 2019
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Dynamic convolution: Attention over convolution kernels
Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, and Zicheng Liu · 2020
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Decoupling gcn with dropgraph module for skeleton-based action recognition
Ke Cheng, Yifan Zhang, Congqi Cao, Lei Shi, Jian Cheng, and Hanqing Lu · 2020
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Skeleton-based action recognition with shift graph convolutional network
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Independently recurrent neural network (indrnn): Building a longer and deeper rnn
Shuai Li, Wanqing Li, Chris Cook, Ce Zhu, and Yanbo Gao · 2018
Cited alongside, same era.
Deep progressive reinforcement learning for skeleton-based action recognition
Yansong Tang, Yi Tian, Jiwen Lu, Peiyang Li, and Jie Zhou · 2018
Cited alongside, same era.
Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
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Actional-structural graph convolutional networks for skeleton-based action recognition
Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, and Qi Tian · 2019
Cited alongside, same era.
Ntu rgb+ d 120: A large-scale benchmark for 3d human activity understanding
Jun Liu, Amir Shahroudy, Mauricio Lisboa Perez, Gang Wang, Ling-Yu Duan, and Alex Kot Chichung · 2019
Cited alongside, same era.
Skeleton-based action recognition with directed graph neural networks
Lei Shi, Yifan Zhang, Jian Cheng, and Hanqing Lu · 2019
Cited alongside, same era.
Two-stream adaptive graph convolutional networks for skeleton-based action recognition
Lei Shi, Yifan Zhang, Jian Cheng, and Hanqing Lu · 2019
Cited alongside, same era.
Ke Cheng, Yifan Zhang, Xiangyu He, Weihan Chen, Jian Cheng, and Hanqing Lu · 2020
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Spatio-temporal inception graph convolutional networks for skeleton-based action recognition
Zhen Huang, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, and Xian-Sheng Hua · 2020
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Ddgcn: A dynamic directed graph convolutional network for action recognition
Matthew Korban and Xin Li · 2020
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Disentangling and unifying graph convolutions for skeleton-based action recognition
Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, and Wanli Ouyang · 2020
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Stronger, faster and more explainable: A graph convolutional baseline for skeleton-based action recognition
Yi-Fan Song, Zhang Zhang, Caifeng Shan, and Liang Wang · 2020
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Dynamic gcn: Context-enriched topology learning for skeleton-based action recognition
Fanfan Ye, Shiliang Pu, Qiaoyong Zhong, Chao Li, Di Xie, and Huiming Tang · 2020
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Semantics-guided neural networks for efficient skeleton-based human action recognition
Pengfei Zhang, Cuiling Lan, Wenjun Zeng, Junliang Xing, Jianru Xue, and Nanning Zheng · 2020
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