Stas Goferman

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

Whom Stas Goferman trusts overall

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

  1. Paul A. Viola
  2. Christof Koch
  3. Xiaodi Hou
  4. Dirk Bernhardt-Walther
  5. Hae Jong Seo
  6. Vincent Garcia
  7. Laurent Itti
  8. Sunil Arya
  9. Tie Liu
  10. Liqing Zhang

Who trusts Stas Goferman overall

  1. Ming-Ming Cheng
  2. Wenguan Wang
  3. Jianming Zhang
  4. Guanbin Li
  5. Junwei Han
  6. Florian Jaton
  7. Huaizu Jiang
  8. Xi Li
  9. Houwen Peng
  10. Jianbing Shen

Papers from Stas Goferman's perspective

Ordered by how strongly the researchers Stas Goferman 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. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Saliency Detection: A Spectral Residual Approach (2007 IEEE Conference on Computer Vision and Pattern Recognition)
  6. ImageNet: A large-scale hierarchical image database
  7. Going deeper with convolutions
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. Gradient-based learning applied to document recognition
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers