JOURNAL ARTICLE

Prompt-supervised dynamic attention graph convolutional network for skeleton-based action recognition

Shasha ZhuLu SunZeyuan MaChenxi LiDongzhi He

Year: 2024 Journal:   Neurocomputing Vol: 611 Pages: 128623-128623   Publisher: Elsevier BV
Keywords:
Computer science Action recognition Skeleton (computer programming) Artificial intelligence Graph Convolutional neural network Pattern recognition (psychology) Machine learning Theoretical computer science

Metrics

4
Cited By
2.12
FWCI (Field Weighted Citation Impact)
68
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Human Pose and Action Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Gait Recognition and Analysis
Physical Sciences →  Engineering →  Biomedical Engineering
Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence

Related Documents

JOURNAL ARTICLE

Graph Instinctive Attention Convolutional Network for Skeleton-Based Action Recognition

Jinze HuoHaibin CaiQinggang Meng

Journal:   2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Year: 2022 Pages: 1606-1611
JOURNAL ARTICLE

Dynamic Graph Attention Network for Skeleton-Based Action Recognition

Zhenhua LiFanjia LiGang Hua

Journal:   Applied Sciences Year: 2025 Vol: 15 (9)Pages: 4929-4929
JOURNAL ARTICLE

Independent Dual Graph Attention Convolutional Network for Skeleton-Based Action Recognition

Jinze HuoHaibin CaiQinggang Meng

Journal:   Neurocomputing Year: 2024 Vol: 583 Pages: 127496-127496
© 2026 ScienceGate Book Chapters — All rights reserved.