Enhanced spatio-temporal motion prediction using transformer-augmented graph convolutional networks

Ziliang Ren; Miaomiao Jin; Yong Qin; Xiangyang Gao; Qieshi Zhang

doi:10.1007/s13042-025-02646-5

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Enhanced spatio-temporal motion prediction using transformer-augmented graph convolutional networks

Ziliang Ren Miaomiao Jin Yong Qin Xiangyang Gao Qieshi Zhang

Year: 2025 Journal: International Journal of Machine Learning and Cybernetics Vol: 16 (9)Pages: 6799-6815 Publisher: Springer Science+Business Media

DOI: 10.1007/s13042-025-02646-5

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Keywords:

Computational intelligence Computer science Transformer Artificial intelligence Graph Pattern recognition (psychology) Convolutional neural network Theoretical computer science Physics Voltage

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Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Analysis and Summarization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Human Motion and Animation

Physical Sciences → Engineering → Control and Systems Engineering

Enhanced spatio-temporal motion prediction using transformer-augmented graph convolutional networks

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