DYAN: A Dynamical Atoms-Based Network for Video Prediction

@inproceedings{Liu2018DYANAD,
  title={DYAN: A Dynamical Atoms-Based Network for Video Prediction},
  author={WenQian Liu and Abhishek Sharma and Octavia I. Camps and Mario Sznaier},
  booktitle={ECCV},
  year={2018}
}
The ability to anticipate the future is essential when making real time critical decisions, provides valuable information to understand dynamic natural scenes, and can help unsupervised video representation learning. State-of-art video prediction is based on complex architectures that need to learn large numbers of parameters, are potentially hard to train, slow to run, and may produce blurry predictions. In this paper, we introduce DYAN, a novel network with very few parameters and easy to… CONTINUE READING
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