Nick Johnston

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 7 papers; trusts 115 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

Whom Nick Johnston trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Johannes Ballé
  5. Zhou Wang
  6. Eero P. Simoncelli
  7. Yoshua Bengio
  8. Jimmy Ba
  9. Gregory K. Wallace
  10. Oren Rippel

Who trusts Nick Johnston overall

  1. Eirikur Agustsson
  2. David C. Minnen
  3. Guo Lu
  4. Fabian Mentzer
  5. Lucas Caccia
  6. Michael Tschannen
  7. Oren Rippel
  8. Zhihao Hu
  9. Jiahao Li
  10. Yoojin Choi

Papers from Nick Johnston's perspective

Ordered by how strongly the researchers Nick Johnston 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. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers