Feng Shi

Computer Vision and Pattern Recognition · with Shen · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Feng Shi trusts overall

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

  1. Linda Wang
  2. Kaiming He
  3. Fausto Milletarì
  4. Joseph Paul Cohen
  5. Geoffrey E. Hinton
  6. Angjoo Kanazawa
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. Jianpeng Zhang
  10. Xingyi Yang

Who trusts Feng Shi overall

  1. Arvid Lundervold
  2. Asmaa Abbas
  3. Deng-Ping Fan

Papers from Feng Shi's perspective

Ordered by how strongly the researchers Feng Shi 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. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers