Yu Fu

Computer Vision and Pattern Recognition · 2011

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

Subfields

Whom Yu Fu trusts overall

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

  1. Xiaodi Hou

Who trusts Yu Fu overall

  1. Ali Borji

Papers from Yu Fu's perspective

Ordered by how strongly the researchers Yu Fu 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. Saliency Detection: A Spectral Residual Approach (2007 IEEE Conference on Computer Vision and Pattern Recognition)
  4. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
  5. Graph-Based Visual Saliency
  6. Saliency Based on Information Maximization
  7. Visual correlates of fixation selection: effects of scale and time. (Vision Research)
  8. Learning to Detect A Salient Object
  9. Learning to predict where humans look (IEEE International Conference on Computer Vision)
  10. Frequency-tuned salient region detection (2009 IEEE Conference on Computer Vision and Pattern Recognition)

Their papers