Sungwook Lee

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 68 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sungwook Lee trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Paul Bergmann
  4. X. Zhang
  5. Alex Krizhevsky
  6. Ilya Loshchilov
  7. Ross B. Girshick
  8. Shaoqing Ren
  9. Andrew Zisserman
  10. Geoffrey E. Hinton

Who trusts Sungwook Lee overall

  1. Tran Dinh Tien

Papers from Sungwook Lee's perspective

Ordered by how strongly the researchers Sungwook 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers