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1604.02808
Cited By
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
11 April 2016
Amir Shahroudy
Jun Liu
T. Ng
G. Wang
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Papers citing
"NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis"
50 / 848 papers shown
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Mohamed Daoudi
Boulbaba Ben Amor
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158
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29 Jun 2018
Action Recognition for Depth Video using Multi-view Dynamic Images
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Jun Chen
Yancheng Wang
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196
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29 Jun 2018
Human Action Recognition and Prediction: A Survey
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Yu Kong
Y. Fu
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28 Jun 2018
CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps
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Piotr Koniusz
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208
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156
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Nakamasa Inoue
Koichi Shinoda
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154
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Human Action Generation with Generative Adversarial Networks
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Dennis Singh Moirangthem
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26 May 2018
Pose-Based Two-Stream Relational Networks for Action Recognition in Videos
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174
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16 May 2018
Graph Edge Convolutional Neural Networks for Skeleton Based Action Recognition
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16 May 2018
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289
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192
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07 May 2018
Memory Attention Networks for Skeleton-based Action Recognition
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Chunyu Xie
Ce Li
Baochang Zhang
Chong Chen
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Jianzhuang Liu
175
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23 Apr 2018
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
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Pengfei Zhang
Cuiling Lan
Junliang Xing
Wenjun Zeng
Jianru Xue
Nanning Zheng
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299
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20 Apr 2018
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation
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Qiaoyong Zhong
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204
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137
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Zhen Cui
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Video Representation Learning Using Discriminative Pooling
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A. Cherian
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116
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Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks
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274
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Chunyan Xu
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163
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404
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J. Mille
Graham W. Taylor
378
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Deep-Temporal LSTM for Daily Living Action Recognition
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Y. Li
Jianchao Yang
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Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning
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Seyed-Ahmad Ahmadi
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Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
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Yuanjun Xiong
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574
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Lei Wang
229
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Human Action Recognition: Pose-based Attention draws focus to Hands
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230
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Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition
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Xinwang Liu
250
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Lu Jiang
Juan Carlos Niebles
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290
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Pietro Morerio
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150
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247
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