Jie Shan

Computer Vision and Pattern Recognition · 2002–2019

A researcher in the Science corpus: 6 papers; trusts 51 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Shan trusts overall

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

  1. David G. Lowe
  2. John F. Canny
  3. Navneet Dalal
  4. Dominik Brunner
  5. Jon Atli Benediktsson
  6. Andrew Zisserman
  7. Eli Shechtman
  8. Anil K. Jain
  9. Robert Martin Haralick
  10. Weiling Cai

Who trusts Jie Shan overall

  1. H. Yao
  2. Xingyu Jiang
  3. Bing Liu
  4. Yuanxin Ye

Papers from Jie Shan's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Histograms of oriented gradients for human detection
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers