Jungwon Lee

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 7 papers; trusts 740 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Jungwon Lee trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Yann LeCun
  6. Yoshua Bengio
  7. Jimmy Ba
  8. Alex Graves
  9. Ilya Sutskever
  10. Karen Simonyan

Who trusts Jungwon Lee overall

  1. Yunhui Guo
  2. Yu Cheng
  3. Zhihao Duan
  4. Saeed Anwar
  5. Eirikur Agustsson
  6. Shimi Salant

Papers from Jungwon Lee's perspective

Ordered by how strongly the researchers Jungwon 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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