My main research area is image processing, computer vision, video information analysis, deep-learning, and AI. In the past few years my research has focused on the following main themes:
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The Internal Statistics of Natural Images and Videos (Read more)
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Visual Inference by Composition (Read more)
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Space-Time Analysis of Video (Read more)
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"Deep Internal Learning” – training a deep network on a single natural image/video.
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“Mind Reading” – reconstructing visual data from fMRI brain activity.
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Reconstructing training data from trained neural networks.
For a full list of my papers, please see Publications