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:


  • The Internal Statistics of Natural Images and Videos (Read more)

  • Visual Inference by Composition (Read more)

  • Space-Time Analysis of Video (Read more)

  • "Deep Internal Learning” – training a deep network on a single natural image/video.

  • “Mind Reading” – reconstructing visual data from fMRI brain activity.

  • Reconstructing training data from trained neural networks.


For a full list of my papers, please see Publications