Josef Zihl

2001

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Josef Zihl trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. John G. Daugman
  2. F. Attneave
  3. D. Navon
  4. Geoffrey E. Hinton
  5. Rajesh P. N. Rao
  6. Laurent Itti
  7. Gustavo Deco
  8. Barbara Olshausen
  9. Terrence J. Sejnowski
  10. Christof Koch

Papers from Josef Zihl's perspective

Ordered by how strongly the researchers Josef Zihl trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
  2. A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information
  3. A feature-integration theory of attention.
  4. Atomic Decomposition by Basis Pursuit
  5. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
  6. ImageNet classification with deep convolutional neural networks
  7. Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Neural mechanisms of selective visual attention.
  10. Two cortical visual systems

Their papers