John Flynn

Computer Vision and Pattern Recognition · ACM Transactions on Graphics · 2015–2020

A researcher in the Science corpus: 5 papers; trusts 459 researchers and is trusted by 388 researchers here, as inferred from the citation graph.

Subfields

Whom John Flynn trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Karen Simonyan
  4. Alex Krizhevsky
  5. Kaiming He
  6. Andrew Zisserman
  7. Robert T. Collins
  8. Ross B. Girshick
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts John Flynn overall

  1. Tinghui Zhou
  2. Gernot Riegler
  3. Simon Niklaus
  4. Jonathan T. Barron
  5. Ricardo Martin-Brualla
  6. Richard Tucker
  7. Pratul P. Srinivasan
  8. Suttisak Wizadwongsa
  9. Peter Hedman
  10. Noah Snavely

Papers from John Flynn's perspective

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

Their papers