Lik-Hang Lee

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lik-Hang Lee trusts overall

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

  1. David G. Lowe
  2. Paul R. Milgrom
  3. Daniel Scharstein
  4. Greg Hamerly
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Kaiming He
  8. Alex Krizhevsky
  9. David Silver
  10. Ross B. Girshick

Who trusts Lik-Hang Lee overall

  1. Minrui Xu

Papers from Lik-Hang Lee's perspective

Ordered by how strongly the researchers Lik-Hang Lee 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. 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