Youngwan Lee

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 856 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Youngwan Lee trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Christian Szegedy
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Karen Simonyan
  7. Tsung-Yi Lin
  8. Piotr Doll'ar
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Youngwan Lee overall

  1. Chien-Yao Wang
  2. Yingfei Liu
  3. C. Stringer
  4. Liang-Chieh Chen
  5. Hongpeng Liao
  6. Lei Ke
  7. Alexey Bochkovskiy
  8. Zhi Tian
  9. Dennis Park
  10. Tiancai Wang

Papers from Youngwan Lee's perspective

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

Their papers