Junho Lee

Computer Vision and Pattern Recognition · with Choi · 2021

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Junho Lee trusts overall

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

  1. Tero Karras
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Rameen Abdal
  5. Yujun Shen
  6. Yoshua Bengio
  7. Yann LeCun
  8. Alex Krizhevsky
  9. Kaiming He
  10. Samuli Laine

Papers from Junho Lee's perspective

Ordered by how strongly the researchers Junho 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. GENERATIVE ADVERSARIAL NETS
  4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers