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This paper introduces AutoGCN, a generic Neural Architecture Search (NAS) algorithm for Human Activity Recognition (HAR) using Graph Convolution Networks (GCNs).
“NAS-Bench-101: Towards Reproducible Neural Architecture Search”
Chris Ying et al · 1902
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“An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition”
Chenyang Si et al · 1902
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“Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition”
Pengfei Zhang et al · 1904
Earlier work this paper cites.
“Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition”
Maosen Li et al · 1904
Earlier work this paper cites.
Andrew Howard et al · 1905
Earlier work this paper cites.
“Best Practices for Scientific Research on Neural Architecture Search”
Marius Lindauer and Frank Hutter · 1909
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“PyTorch: An Imperative Style, High-Performance Deep Learning Library”
Adam Paszke et al · 1912
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“Building a Large Annotated Corpus of English: The Penn Treebank”
Mitchell. Marcus, Beatrice Santorini and Mary Marcinkiewicz · 1993
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“An Introduction to the Bootstrap”
Bradley Efron and R.J. Tibshirani · 1994
Earlier work this paper cites.
“Kinematics of Human Motion”
Vladimir. Zatsiorsky · 1998
Earlier work this paper cites.
“Policy Gradient Methods for Reinforcement Learning with Function Approximation”
Richard Sutton, David McAllester, Satinder Singh and Yishay Mansour · 1999
Earlier work this paper cites.
“The Recognition of Human Movement Using Temporal Templates”
A.F. Bobick and J.W. Davis · 2001
Earlier work this paper cites.
“NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search”
Xuanyi Dong and Yi Yang · 2001
Earlier work this paper cites.
“AutoHAS: Efficient Hyperparameter and Architecture Search”, 2021
Xuanyi Dong et al · 2006
Earlier work this paper cites.
“Learning Multiple Layers of Features from Tiny Images”, 2009
Alex Krizhevsky and Geoffrey Hinton · 2009
Earlier work this paper cites.
“EigenJoints-based Action Recognition Using Naïve-Bayes-Nearest-Neighbor”
Xiaodong Yang and Ying Tian · 2012
Earlier work this paper cites.
“Random Search for Hyper-Parameter Optimization”
James Bergstra and Yoshua Bengio · 2012
Cited alongside, same era.
“A Review of Human Activity Recognition Methods”
Michalis Vrigkas, Christophoros Nikou and Ioannis. Kakadiaris · 2015
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
Cited alongside, same era.
“Neural Architecture Search with Reinforcement Learning”, 2017
Barret Zoph and Quoc. Le · 2017
Cited alongside, same era.
“ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices”
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin and Jian Sun · 2017
Cited alongside, same era.
“Optimized Skeleton-based Action Recognition via Sparsified Graph Regression”
Xiang Gao et al · 2019
Later among the works it cites.
“Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching”
Wei Peng, Xiaopeng Hong, Haoyu Chen and Guoying Zhao · 2020
Later among the works it cites.
“Multi-Scale Mixed Dense Graph Convolution Network for Skeleton-Based Action Recognition”
Hailun Xia and Xinkai Gao · 2020
Later among the works it cites.
“Channel-Wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition”
Yuxin Chen et al · 2021
Later among the works it cites.
“Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition”
Pengfei Zhang et al · 2021
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Sijie Yan, Yuanjun Xiong and Dahua Lin · 2018
Cited alongside, same era.
“Efficient Neural Architecture Search via Parameter Sharing”, 2018
Hieu Pham et al · 2018
Cited alongside, same era.
“Progressive Neural Architecture Search”
Chenxi Liu et al · 2018
Cited alongside, same era.
“Learning Transferable Architectures for Scalable Image Recognition”, 2018
Barret Zoph, Vijay Vasudevan, Jonathon Shlens and Quoc. Le · 2018
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.
Cham: Springer International Publishing, 2019
“Automated Machine Learning: Methods, Systems, Challenges”, The Springer Series on Challenges in Machine Learning · 2019
Cited alongside, same era.
“DARTS: Differentiable Architecture Search”
Hanxiao Liu, Karen Simonyan and Yiming Yang · 2019
Cited alongside, same era.
Later among the works it cites.
“Filtering Biomechanical Signals in Movement Analysis”
Francesco Crenna, Giovanni Rossi and Marta Berardengo · 2021
Later among the works it cites.
“Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk”
Daniel Groos et al · 2022
Later among the works it cites.
“Human Activity Recognition: Review, Taxonomy and Open Challenges”
Muhammad Arshad, Muhammad Bilal and Abdullah Gani · 2022
Later among the works it cites.
“Constructing Stronger and Faster Baselines for Skeleton-Based Action Recognition”
Yisheng Song, Zhang Zhang, Caifeng Shan and Liang Wang · 2022
Later among the works it cites.
“Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition”
Lianyu Hu, Shenglan Liu and Wei Feng · 2022
Later among the works it cites.
“Skeleton Motion Recognition Based on Multi-Scale Deep Spatio-Temporal Features”
Kai Hu et al · 2022
Later among the works it cites.
“Neural Architecture Search: Insights from 1000 Papers”
Colin White et al · 2023
Later among the works it cites.
“Skeleton-Based Human Action Recognition Based on Single Path One-Shot Neural Architecture Search”
Yujian Jiang et al · 2023
Later among the works it cites.
“Multi-stage Part-aware Graph Convolutional Network for Skeleton-based Action Recognition”
Xiaofei Qin et al · 2074
Closest in time.
“Skeleton Graph-Neural-Network-Based Human Action Recognition: A Survey”
Miao Feng and Jean Meunier · 2091
Closest in time.