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Creators/Authors contains: "Yedidia, A. B."

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  1. ; ; ; ; ; ; (, Advances in neural information processing systems)
    null (Ed.)
    We recover a video of the motion taking place in a hidden scene by observing changes in indirect illumination in a nearby uncalibrated visible region. We solve this problem by factoring the observed video into a matrix product between the unknown hidden scene video and an unknown light transport matrix. This task is extremely ill-posed as any non-negative factorization will satisfy the data. Inspired by recent work on the Deep Image Prior, we parameterize the factor matrices using randomly initialized convolutional neural networks trained in a one-off manner, and show that this results in decompositions that reflect the true motion in the hidden scene. 
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    Accepted Manuscript Full Text Available
  2. ; ; ; ; (, Proceedings of Conference on Computer Vision and Pattern Recognition)
    Accepted Manuscript Full Text Available