Edward Johns

Computer Vision and Pattern Recognition · 2011–2021

A researcher in the Science corpus: 8 papers; trusts 835 researchers and is trusted by 240 researchers here, as inferred from the citation graph.

Subfields

Whom Edward Johns trusts overall

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

  1. David G. Lowe
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yoshua Bengio
  7. Yann LeCun
  8. Karen Simonyan
  9. Xiaojin Zhu
  10. Ross B. Girshick

Who trusts Edward Johns overall

  1. Jeffrey Mahler
  2. Dinesh Jayaraman
  3. Sulabh Kumra
  4. Tobias Weyand
  5. Kristen Grauman
  6. Santhosh K. Ramakrishnan
  7. Lei Tai
  8. Stephen James
  9. Song Cao
  10. Vishakh Hegde

Papers from Edward Johns's perspective

Ordered by how strongly the researchers Edward Johns trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers