Lei Ke

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 861 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Ke trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Tsung-Yi Lin
  6. Piotr Doll'ar
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Shaoqing Ren
  10. Yann LeCun

Who trusts Lei Ke overall

  1. Ao Wang
  2. Lihe Yang
  3. Keyan Chen
  4. An-Chieh Cheng
  5. Hanoona Abdul Rasheed
  6. Jiyang Qi

Papers from Lei Ke's perspective

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

Their papers