Kin-Man Lam

Computer Vision and Pattern Recognition · 2009–2018

A researcher in the Science corpus: 3 papers; trusts 228 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Kin-Man Lam trusts overall

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

  1. Kaiming He
  2. Wenguan Wang
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Chunming Li
  7. Karen Simonyan
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Kin-Man Lam overall

  1. Wenguan Wang
  2. B. Sparks
  3. Sarunya Lertputtarak

Papers from Kin-Man Lam's perspective

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

Their papers