DF-GCN: A Lightweight Dynamic Dual-Stream Graph Convolutional Network for Skeleton-Based Action Recognition

Yu Li; Ning Li

doi:10.1109/icipca65645.2025.11138799

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JOURNAL ARTICLE

DF-GCN: A Lightweight Dynamic Dual-Stream Graph Convolutional Network for Skeleton-Based Action Recognition

Yu Li Ning Li

Year: 2025 Pages: 2181-2186

DOI: 10.1109/icipca65645.2025.11138799

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Keywords:

Computer science Dual (grammatical number) Skeleton (computer programming) Action recognition Graph Artificial intelligence Theoretical computer science Programming language

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Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

DF-GCN: A Lightweight Dynamic Dual-Stream Graph Convolutional Network for Skeleton-Based Action Recognition

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Citation History

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