Fusing Skeletons and Texts Based on GCN-CNN for Action Recognition
Author:
Affiliation:
1. School of Computer and Artificial Intelligence, Zhengzhou University, China
2. Wuhan Branch of Chinasoft International Technology Service Co., Ltd.China, China
Funder
China Postdoctoral Science Foundation
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3604078.3604087
Reference24 articles.
1. 3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning
2. Motion Trajectory for Human Action Recognition Using Fourier Temporal Features of Skeleton Joints
3. A Review on Human Actions Recognition Using Vision Based Techniques
4. Using Discrete Cosine Transform Based Features for Human Action Recognition
5. Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Multi-Modal Transformer with Skeleton and Text for Action Recognition;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
2. Adaptable Weighted Voting Fusion for Multi-modality-based Action Recognition;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
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