Fei Yin

Computer Vision and Pattern Recognition · IEEE International Conference on Document Analysis and Recognition · 2010–2021

A researcher in the Science corpus: 10 papers; trusts 513 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Fei Yin trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Alex Graves
  5. Yoshua Bengio
  6. Yann LeCun
  7. Chenglin Liu
  8. Kaiming He
  9. J. Urgen Schmidhuber
  10. Ross B. Girshick

Who trusts Fei Yin overall

  1. Xu-Yao Zhang
  2. Chenglin Liu
  3. Zirui Wang
  4. Guanxiong Zeng
  5. Dan Claudiu Ciresan
  6. Benjamin Graham
  7. J. Urgen Schmidhuber
  8. Jun Du
  9. Gyuhak Kim
  10. Zhuoyao Zhong

Papers from Fei Yin's perspective

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

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

Their papers