Simon Graham

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 6 papers; trusts 221 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Graham trusts overall

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

  1. Kaiming He
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Radford M. Neal
  6. Alex Krizhevsky
  7. Yarin Gal
  8. Ross B. Girshick
  9. Diederik P. Kingma
  10. Evan Shelhamer

Who trusts Simon Graham overall

  1. David W. Romero
  2. David B. A. Epstein
  3. Massimo Salvi
  4. Huyong Wang
  5. Nasir M. Rajpoot
  6. Erik J. Bekkers
  7. Fabian Hörst
  8. Ming Y. Lu
  9. Usha R. Acharya

Papers from Simon Graham's perspective

Ordered by how strongly the researchers Simon Graham 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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