Yuewei Lin

Computer Vision and Pattern Recognition · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 252 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuewei Lin trusts overall

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

  1. Alex Krizhevsky
  2. Christian Szegedy
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Yann LeCun
  6. Pedro F. Felzenszwalb
  7. David G. Lowe
  8. Ilya Sutskever
  9. Kaiming He
  10. Sam Johnson

Papers from Yuewei Lin's perspective

Ordered by how strongly the researchers Yuewei Lin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers