Kyewook Lee

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kyewook Lee trusts overall

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

  1. Karen Simonyan
  2. Matthew D. Zeiler
  3. Yangqing Jia
  4. Christian Szegedy
  5. Andrew Zisserman
  6. Rob Fergus
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky

Who trusts Kyewook Lee overall

  1. Ibrahim M. Alabdulmohsin
  2. Mark Johnson

Papers from Kyewook Lee's perspective

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

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

Their papers