Context-Aware Human Motion Prediction

@article{Corona2019ContextAwareHM,
  title={Context-Aware Human Motion Prediction},
  author={Enric Corona and Albert Pumarola and G. Aleny{\`a} and Francesc Moreno-Noguer},
  journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2019},
  pages={6990-6999}
}
The problem of predicting human motion given a sequence of past observations is at the core of many applications in robotics and computer vision. [] Key Method These interactions are iteratively learned through a graph attention layer, fed with the past observations, which now include both object and human body motions. Once this semantic graph is learned, we inject it to a standard RNN to predict future movements of the human/s and object/s.

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