Convolutional Sequence to Sequence Model for Human Dynamics

@article{Li2018ConvolutionalST,
  title={Convolutional Sequence to Sequence Model for Human Dynamics},
  author={Chen Li and Zhen Zhang and Wee Sun Lee and Gim Hee Lee},
  journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2018},
  pages={5226-5234}
}
Human motion modeling is a classic problem in computer vision and graphics. Challenges in modeling human motion include high dimensional prediction as well as extremely complicated dynamics.We present a novel approach to human motion modeling based on convolutional neural networks (CNN). The hierarchical structure of CNN makes it capable of capturing both spatial and temporal correlations effectively. In our proposed approach, a convolutional long-term encoder is used to encode the whole given… Expand
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