Lei Shi

Biomedical Engineering · Computer Vision and Pattern Recognition · 2006–2021

A researcher in the Science corpus: 35 papers; trusts 416 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Shi trusts overall

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

  1. Karen Simonyan
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Andrew Zisserman
  5. Alex Krizhevsky
  6. Yong Du
  7. Yann LeCun
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Ross B. Girshick

Who trusts Lei Shi overall

  1. Yisheng Song
  2. Ke Cheng
  3. Chiara Plizzari
  4. Yifan Zhang
  5. Zhan Chen
  6. Ken Ziyu Liu
  7. Zhang Zhang
  8. Hyung-gun Chi
  9. Rong Wang
  10. W. Fang

Papers from Lei Shi's perspective

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

Their papers