Nigel Crook

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nigel Crook trusts overall

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

  1. Ali Borji
  2. Radhakrishna Achanta

Who trusts Nigel Crook overall

  1. Ming-Hsuan Yang
  2. Huchuan Lu

Papers from Nigel Crook's perspective

Ordered by how strongly the researchers Nigel Crook 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. Graph-Based Visual Saliency
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Frequency-tuned salient region detection (2009 IEEE Conference on Computer Vision and Pattern Recognition)
  5. Learning to Detect A Salient Object
  6. Contrast-based image attention analysis by using fuzzy growing (MULTIMEDIA '03)
  7. ImageNet classification with deep convolutional neural networks
  8. Salient Region Detection and Segmentation (International Conference on Virtual Storytelling)
  9. Is bottom-up attention useful for object recognition? (Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.)
  10. Neural mechanisms of selective visual attention.

Their papers