Lunke Fei

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 287 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lunke Fei trusts overall

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

  1. Kai Zhang
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Wangmeng Zuo
  6. Lei Zhang
  7. Diederik P. Kingma
  8. Sergey Ioffe
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Lunke Fei overall

  1. Syed Waqas Zamir

Papers from Lunke Fei's perspective

Ordered by how strongly the researchers Lunke Fei 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers