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MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment

Kanglei Zhou, Liyuan Wang, Xingxing Zhang, Hubert P. H. Shum, Frederick W. B. Li, Jianguo Li and Xiaohui Liang
Proceedings of the 2024 European Conference on Computer Vision (ECCV), 2024

Core A* Conference‡   H5-Index: 206# Core A* Conference‡ 

MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
‡ According to Core Ranking 2023
# According to Google Scholar 2024

Abstract

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Citations

BibTeX

@inproceedings{zhou24magr,
 author={Zhou, Kanglei and Wang, Liyuan and Zhang, Xingxing and Shum, Hubert P. H. and Li, Frederick W. B. and Li, Jianguo and Liang, Xiaohui},
 booktitle={Proceedings of the 2024 European Conference on Computer Vision},
 series={ECCV '24},
 title={MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment},
 year={2024},
 publisher={Springer},
 location={Milan, Italy},
}

RIS

TY  - CONF
AU  - Zhou, Kanglei
AU  - Wang, Liyuan
AU  - Zhang, Xingxing
AU  - Shum, Hubert P. H.
AU  - Li, Frederick W. B.
AU  - Li, Jianguo
AU  - Liang, Xiaohui
T2  - Proceedings of the 2024 European Conference on Computer Vision
TI  - MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
PY  - 2024
PB  - Springer
ER  - 

Plain Text

Kanglei Zhou, Liyuan Wang, Xingxing Zhang, Hubert P. H. Shum, Frederick W. B. Li, Jianguo Li and Xiaohui Liang, "MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment," in ECCV '24: Proceedings of the 2024 European Conference on Computer Vision, Milan, Italy, Springer, 2024.

Supporting Grants

Similar Research

Kanglei Zhou, Yue Ma, Hubert P. H. Shum and Xiaohui Liang, "Hierarchical Graph Convolutional Networks for Action Quality Assessment", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
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Last updated on 15 July 2024
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