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In skeleton-based action recognition, graph convolutional networks (GCNs), which model the human body skeletons as spatiotemporal graphs, have achieved remarkable performance.
The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
David I Shuman, Sunil K Narang, Pascal Frossard, Antonio Ortega, and Pierre Vandergheynst · 2013
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Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun · 2014
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Human action recognition by representing 3d skeletons as points in a lie group
Raviteja Vemulapalli, Felipe Arrate, and Rama Chellappa · 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, Alan Aspuru-Guzik, and Ryan P Adams · 2015
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Modeling video evolution for action recognition
Basura Fernando, Efstratios Gavves, Jose M. Oramas, Amir Ghodrati, and Tinne Tuytelaars · 2015
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Deep convolutional networks on graph-structured data
Mikael Henaff, Joan Bruna, and Yann LeCun · 2015
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Diffusion-convolutional neural networks
James Atwood and Don Towsley · 2016
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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
Cited alongside, same era.
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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Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
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Inductive representation learning on large graphs
Will Hamilton, Zhitao Ying, and Jure Leskovec · 2017
Cited alongside, same era.
The Kinetics Human Action Video Dataset
Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, and others · 2017
Cited alongside, same era.
A New Representation of Skeleton Sequences for 3d Action Recognition
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodola, Jan Svoboda, and Michael M. Bronstein · 2017
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Automatic differentiation in PyTorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
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An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data
Sijie Song, Cuiling Lan, Junliang Xing, Wenjun Zeng, and Jiaying Liu · 2017
Later among the works it cites.
View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition From Skeleton Data
Pengfei Zhang, Cuiling Lan, Junliang Xing, Wenjun Zeng, Jianru Xue, and Nanning Zheng · 2017
Later among the works it cites.
Skeleton-Based Action Recognition with Gated Convolutional Neural Networks
C. Cao, C. Lan, Y. Zhang, W. Zeng, H. Lu, and Y. Zhang · 2018
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Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Ahmed Sohel, and Farid Boussaïd · 2017
Cited alongside, same era.
Interpretable 3d human action analysis with temporal convolutional networks
Tae Soo Kim and Austin Reiter · 2017
Cited alongside, same era.
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep CNN
Bo Li, Yuchao Dai, Xuelian Cheng, Huahui Chen, Yi Lin, and Mingyi He · 2017
Cited alongside, same era.
Skeleton-based action recognition with convolutional neural networks
Chao Li, Qiaoyong Zhong, Di Xie, and Shiliang Pu · 2017
Cited alongside, same era.
Two-Stream 3d Convolutional Neural Network for Skeleton-Based Action Recognition
Hong Liu, Juanhui Tu, and Mengyuan Liu · 2017
Cited alongside, same era.
Enhanced skeleton visualization for view invariant human action recognition
Mengyuan Liu, Hong Liu, and Chen Chen · 2017
Cited alongside, same era.
Neural relational inference for interacting systems
Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, and Richard Zemel · 2018
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Skeleton-Based Relational Modeling for Action Recognition
Lin Li, Wu Zheng, Zhaoxiang Zhang, Yan Huang, and Liang Wang · 2018
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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
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Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition
Yansong Tang, Yi Tian, Jiwen Lu, Peiyang Li, and Jie Zhou · 2018
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Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
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EgoGesture: A New Dataset and Benchmark for Egocentric Hand Gesture Recognition
Yifan Zhang, Congqi Cao, Jian Cheng, and Hanqing Lu · 2018
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