Yun Fu

Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2008–2013

A researcher in the Science corpus: 7 papers; trusts 275 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Yun Fu trusts overall

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

  1. Xiaofei He
  2. Paul A. Viola
  3. Andreas Lanitis
  4. Xin Geng
  5. Narayanan Ramanathan
  6. Sam T. Roweis
  7. Partha Niyogi
  8. Zhi-Hua Zhou
  9. Ramalingam Chellappa
  10. Shuicheng Yan

Who trusts Yun Fu overall

  1. Hu Han
  2. Eran Eidinger
  3. Yu Zhang
  4. Ke Chen
  5. Guo-qing Guo
  6. Kuang-Yu Chang
  7. Xin Geng
  8. Changsheng Li
  9. Tal Hassner
  10. Chu-Song Chen

Papers from Yun Fu's perspective

Ordered by how strongly the researchers Yun Fu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers