Lei Ji

Computer Vision and Pattern Recognition · with Duan · 2018–2021

A researcher in the Science corpus: 8 papers; trusts 792 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Ji trusts overall

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

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

Who trusts Lei Ji overall

  1. Linjie Li
  2. Hu Xu
  3. Yuying Ge
  4. Kevin Qinghong Lin
  5. Yixiao Ge
  6. Han Fang
  7. Antoine Yang
  8. Dongxu Li
  9. Zhe Gan
  10. Tsai-Shien Chen

Papers from Lei Ji's perspective

Ordered by how strongly the researchers Lei Ji 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. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  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