Robin L. Hill

Computer Vision and Pattern Recognition · 2007–2011

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Robin L. Hill trusts overall

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

  1. Laurent Itti
  2. David J. Field
  3. Christof Koch
  4. David H. Hubel
  5. Claudio M. Privitera

Who trusts Robin L. Hill overall

  1. Wenguan Wang

Papers from Robin L. Hill's perspective

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

  1. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
  2. A feature-integration theory of attention.
  3. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
  4. Algorithms for Defining Visual Regions-of-Interest: Comparison with Eye Fixations (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  5. Summation and division by neurons in primate visual cortex.
  6. A saliency-based search mechanism for overt and covert shifts of visual attention. (Vision Research)
  7. VISUAL SALIENCY DOES NOT ACCOUNT FOR EYE MOVEMENTS DURING VISUAL SEARCH IN REAL-WORLD SCENES
  8. A principled approach to detecting surprising events in video (Computer Vision and Pattern Recognition)
  9. What attributes guide the deployment of visual attention and how do they do it? (Nature Reviews Neuroscience)
  10. Computational modelling of visual attention

Their papers