Decoupled spatio-temporal grouping transformer for skeleton-based action recognition-Reference-Cited by-同舟云学术

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Decoupled spatio-temporal grouping transformer for skeleton-based action recognition

Published:2023-10-25 Issue: Volume: Page:
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Sun Shengkun,Jia Zihao,Zhu Yisheng,Liu Guangcan,Yu Zhengtao

Funder

Ministry of Science and Technology of the People’s Republic of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s00371-023-03132-1.pdf

Reference62 articles.

1. Wu, D., Sharma, N., Blumenstein, M.: Recent advances in video-based human action recognition using deep learning: a review. In: 2017 International Joint Conference on Neural Networks (IJCNN), pp. 2865–2872 (2017). https://doi.org/10.1109/IJCNN.2017.7966210

2. Zhu, Y., Han, H., Liu, G., Liu, Q.: Collaborative local-global learning for temporal action proposal. ACM Trans Intell Syst Technol. (TIST) 12(5), 1–14 (2021)

3. Elmadany, N.E., He, Y., Guan, L.: Improving action recognition via temporal and complementary learning. ACM Trans. Intell. Syst. Technol. (2021). https://doi.org/10.1145/3447686

4. Si, C., Chen, W., Wang, W., Wang, L., Tan, T.: An attention enhanced graph convolutional LSTM network for skeleton-based action recognition. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)

5. Si, C., Jing, Y., Wang, W., Wang, L., Tan, T.: Skeleton-based action recognition with spatial reasoning and temporal stack learning. In: Proceedings of the European Conference on Computer Vision (ECCV) (2018)

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