Skeleton-based action recognition with local dynamic spatial–temporal aggregation
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference54 articles.
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4. Chen, Z., Li, S., Yang, B., Li, Q., & Liu, H. (2021). Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition. In Proceedings of the AAAI conference on artificial intelligence, volume 35, number 2 (pp. 1113–1122).
5. Chen, Y., Zhang, Z., Yuan, C., Li, B., Deng, Y., & Hu, W. (2021). Channel-wise topology refinement graph convolution for skeleton-based action recognition. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 13359–13368).
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