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Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 5, 页码: 1915-1925
Authors:  Song, Yi-Fan;  Zhang, Zhang;  Shan, Caifeng;  Wang, Liang
Favorite  |  View/Download:0/0  |  Submit date:2021/06/15
Skeleton  Robustness  Noise measurement  Three-dimensional displays  Degradation  Standards  Feature extraction  Action recognition  skeleton  activation map  graph convolutional network  occlusion  jittering  
Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 期号: 29, 页码: 9532-9545
Authors:  Shi, Lei;  Zhang, Yifan;  Cheng, Jian;  Lu, Hanqing
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Skeleton-based action recognition, graph convolutional network, adaptive graph, multi-stream network.  
FSD-10: A fine-grained classification dataset for figure skating 期刊论文
NEUROCOMPUTING, 2020, 卷号: 413, 页码: 360-367
Authors:  Liu, Shenglan;  Liu, Xiang;  Huang, Gao;  Qiao, Hong;  Hu, Lianyu;  Jiang, Dong;  Zhang, Aibin;  Liu, Yang;  Guo, Ge
Favorite  |  View/Download:26/0  |  Submit date:2021/01/07
Action recognition  Figure Skating Dataset  Fine-grained sports content analysis  Keyframe based temporal segment network  
Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 107, 期号: 107511, 页码: 12
Authors:  Si, Chenyang;  Jing, Ya;  Wang, Wei;  Wang, Liang;  Tan, Tieniu
Adobe PDF(2378Kb)  |  Favorite  |  View/Download:52/1  |  Submit date:2020/08/31
Skeleton-based action recognition  Hierarchical spatial reasoning  Temporal stack learning  Clip-based incremental loss  
Joint Learning in the Spatio-Temporal and Frequency Domains for Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 9, 页码: 2207-2220
Authors:  Guyue, Hu;  Bo, Cui;  Shan, Yu
Adobe PDF(4803Kb)  |  Favorite  |  View/Download:31/1  |  Submit date:2020/09/28
Skeleton-based Action Recognition  Frequency Attention  Synchronous Local and Non-local Learning  Soft-margin Focal Loss  Pesudo Multi-task Learning  
Statistical Machine Learning for Human Behaviour Analysis 期刊论文
ENTROPY, 2020, 卷号: 22, 期号: 5, 页码: 4
Authors:  Moeslund, Thomas B.;  Escalera, Sergio;  Anbarjafari, Gholamreza;  Nasrollahi, Kamal;  Wan, Jun
Favorite  |  View/Download:16/0  |  Submit date:2020/08/03
action recognition  emotion recognition  privacy-aware  
Temporal-Spatial Mapping for Action Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 卷号: 30, 期号: 3, 页码: 748-759
Authors:  Song, Xiaolin;  Lan, Cuiling;  Zeng, Wenjun;  Xing, Junliang;  Sun, Xiaoyan;  Yang, Jingyu
Favorite  |  View/Download:36/0  |  Submit date:2020/06/02
Two dimensional displays  Three-dimensional displays  Feature extraction  Optical imaging  Computational modeling  Streaming media  Kernel  Temporal-spatial mapping (TSM)  action recognition  deep learning  
Cholesky Decomposition-Based Metric Learning for Video-Based Human Action Recognition 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 36313-36321
Authors:  Chen, Si;  Shen, Yuanyuan;  Yan, Yan;  Wang, Dahan;  Zhu, Shunzhi
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Human action recognition  metric learning  Cholesky decomposition  
Tangent Fisher Vector on Matrix Manifolds for Action Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 1, 页码: 3052-3064
Authors:  Luo, Guan;  Wei, Jiutong;  Hu, Weiming;  Maybank, Stephen J.
View  |  Adobe PDF(2396Kb)  |  Favorite  |  View/Download:64/4  |  Submit date:2020/04/07
Manifolds  Video sequences  Observability  Videos  Covariance matrices  Kernel  Computational modeling  Action recognition  Fisher vector  Grassmann manifold  Hankel matrix  matrix manifold  
STA-CNN: Convolutional Spatial-Temporal Attention Learning for Action Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 5783-5793
Authors:  Yang, Hao;  Yuan, Chunfeng;  Zhang, Li;  Sun, Yunda;  Hu, Weiming;  Maybank, Stephen J.
Favorite  |  View/Download:51/0  |  Submit date:2020/06/22
Videos  Feature extraction  Motion segmentation  Computational modeling  Image recognition  Solid modeling  Convolutional neural networks  Temporal attention  spatial attention  convolutional neural network  action recognition