Kun-Li Channing Lin

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 168 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kun-Li Channing Lin trusts overall

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

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

Papers from Kun-Li Channing Lin's perspective

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

Their papers