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[GCPR 2021] Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recog
Graph convolutional network for skeleton based action recognition under fire condition
Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks
Context Aware Graph Convolution for Skeleton-Based Action Recognition
MULTI SCALE TEMPORAL GRAPH NETWORKS FOR SKELETON-BASED ACTION RECOGNITION
Improved Shift Graph Convolutional Network for Action Recognition with Skeleton
ST-GCN for Skeleton-Based Action Recognition
Semantics Guided Neural Networks for Efficient Skeleton Based Human Action Recognition
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
Spatial-Temporal Graph Convolution Networks for skeleton-based Action Recognition
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Last Updated: September 29, 2026
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Summary
Authors: Ke Cheng, Yifan Zhang, Xiangyu He, Weihan Chen, Jian Cheng, Hanqing Lu Description: ST-GCN is the first GCN-based method for the task of Authors: Zhu, Anqi*; Ke, Qiuhong; Gong, Mingming; Bailey, James Description: Learn all the ways Microsoft is a part of CVPR 2020: microsoft.com/en-us/research/event/cvpr-2020/ Authors: Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang Description: Spatial-temporal
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