Youngki Lee

Computer Vision and Pattern Recognition · with Balan · 2017

A researcher in the Science corpus: 1 paper; trusts 278 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Youngki Lee trusts overall

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

  1. Ross B. Girshick
  2. Alex Krizhevsky
  3. Karen Simonyan
  4. Andrew Zisserman
  5. Andrea Vedaldi
  6. Geoffrey E. Hinton
  7. Kaiming He
  8. Yann LeCun
  9. Ilya Sutskever
  10. Sepp Hochreiter

Who trusts Youngki Lee overall

  1. Xukan Ran
  2. Jiasi Chen
  3. Biyi Fang
  4. Md Maruf Hossain Shuvo
  5. Young Geun Kim

Papers from Youngki Lee's perspective

Ordered by how strongly the researchers Youngki Lee 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  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