John P. Lewis

Computer Vision and Pattern Recognition · 2000–2019

A researcher in the Science corpus: 6 papers; trusts 56 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom John P. Lewis trusts overall

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

  1. Jianbo Shi
  2. Carlo Tomasi
  3. Kaiming He
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Derek Bradley
  10. Charles M. Bishop

Who trusts John P. Lewis overall

  1. Rowel O. Atienza
  2. Pieter Vermeesch
  3. Misganu Debella-Gilo
  4. S. Stanier
  5. Yichuan Tang
  6. Brian B. Avants
  7. Denis Fortun
  8. Billie F. Spencer Jr.
  9. Doug L. James
  10. Will Y. Zou

Papers from John P. Lewis's perspective

Ordered by how strongly the researchers John P. Lewis 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. Going deeper with convolutions
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers