Seung Hyun Lee

Computer Vision and Pattern Recognition · with Kim · 2021

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Seung Hyun Lee trusts overall

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

  1. Tero Karras
  2. Karol J. Piczak
  3. Leslie N. Smith
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Kaiming He
  8. Yoshua Bengio
  9. Andrew Zisserman
  10. Zongze Wu

Papers from Seung Hyun Lee's perspective

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

Their papers