Johnny Lee

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 9 papers; trusts 503 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Johnny Lee trusts overall

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

  1. Andy Zeng
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. David G. Lowe
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Ilya Sutskever

Who trusts Johnny Lee overall

  1. Andy Zeng
  2. Fei Xia
  3. Chen Wang
  4. Shuran Song
  5. Mohit Shridhar
  6. Peter R. Florence
  7. Jimmy Wu
  8. Chengshu Li
  9. Shreeyak S. Sajjan
  10. Lucas Manuelli

Papers from Johnny Lee's perspective

Ordered by how strongly the researchers Johnny 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. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers