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Skeleton-Based Action Recognition With Shift Graph Convolutional Network
Efficient Skeleton-Based Action Recognition via Joint-Mapping strategies
Context Aware Graph Convolution for Skeleton-Based Action Recognition
[CVPR22] InfoGCN: Representation Learning for Human Skeleton-based Action Recognition
Graph convolutional network for skeleton based action recognition under fire condition
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
Skeleton based Action recognition using Graph convolution neural networks
(CVPR2022) InfoGCN: Representation Learning for Human Skeleton-based Action Recognition
[GCPR 2021] Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks
[CVPR 2022] Context-Aware Sequence Alignment using 4D Skeletal Augmentation: Supplementary Video
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Last Updated: October 1, 2026
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Presentation video of IEEE VR 1640. ST-GCN is the first GCN-based method for the task of Authors: Zhu, Anqi*; Ke, Qiuhong; Gong, Mingming; Bailey, James Description: Authors: Pengfei Zhang, Cuiling Lan, Wenjun Zeng, Junliang Xing, Jianru Xue, Nanning Zheng Description: Authors: Ke Cheng, Yifan Zhang, Xiangyu He, Weihan Chen, Jian Cheng, Hanqing Lu Description: Authors: Kang, Min-Seok*; Kang, Dongoh; kim, hansaem Description: In this video I review the paper "Hierarchically Decomposed Authors: Xikun Zhang, Chang Xu, Dacheng Tao Description: Authors: Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang Description: Spatial-temporal
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