Guangnan Ye

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Guangnan Ye trusts overall

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

  1. Ivan Laptev
  2. David G. Lowe
  3. Josef Sivic
  4. Andrew Zisserman
  5. Antonio Torralba
  6. Christian Schüldt
  7. Bryan C. Russell
  8. Cordelia Schmid
  9. Geoffrey E. Hinton
  10. Yu-Gang Jiang

Who trusts Guangnan Ye overall

  1. Yu-Gang Jiang
  2. Zuxuan Wu
  3. Chenrui Zhang
  4. Yanwei Fu
  5. Rongkai Xia
  6. Kuan-Ting Lai

Papers from Guangnan Ye's perspective

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

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

Their papers