Diagnosing and Preventing Instabilities in Recurrent Video Processing

Author:

Tanay Thomas1ORCID,Sootla Aivar1,Maggioni Matteo1ORCID,Dokania Puneet K.2,Torr Philip2,Leonardis Ales1ORCID,Slabaugh Gregory3ORCID

Affiliation:

1. Huawei Technologies Ltd, Noah's Ark Lab, London, U.K.

2. Department of Engineering Science, University of Oxford, Oxford, U.K.

3. Queen Mary University of London (work done while at Huawei), London, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Reference67 articles.

1. A recurrent neural network without chaos;laurent;Proc Int Conf Learn Representations,0

2. Understanding deep image representations by inverting them

3. Efficient Video Super-Resolution through Recurrent Latent Space Propagation

4. Visualizing higher-layer features of a deep network;erhan;Univ MONTREAL,2009

5. Stable recurrent models;miller;Proc Int Conf Learn Representations,0

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