Lei Yang

Computer Vision and Pattern Recognition · 3 papers · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 97 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Yang 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. Diederik P. Kingma
  6. Shaoqing Ren
  7. Yann LeCun
  8. Jia Deng
  9. X. Zhang
  10. Yoshua Bengio

Papers from Lei Yang's perspective

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

Their papers