Exploring Dynamic Multiscale Graph Neural Networks For 3d Skeleton Based Human Motion Prediction
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- ST-GCN is the first GCN-based method for the task of
- Video for MLSS 2020 Tübingen presenting TGN: Temporal
- Video attachment for the paper: "Long-Term
- Human Motion Prediction with Graph Neural Networks - LHMP (ICRA Workshop) 2020 Presentation
- We propose a new approach that uses a semi-adaptable
In-Depth Information on Dynamic Multiscale Graph Neural Networks For 3d Skeleton Based Human Motion Prediction
Authors: Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian Description: We propose novel Dynamic Multiscale Graph Neural Networks Authors: Qiongjie Cui, Huaijiang Sun, Fei Yang Description: Human Motion Prediction
A Two-Stream Recurrent
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