Simon Stent

Computer Vision and Pattern Recognition · 2015–2022

A researcher in the Science corpus: 7 papers; trusts 886 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Stent trusts overall

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

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

Who trusts Simon Stent overall

  1. Francesc Moreno-Noguer
  2. Mike Roberts
  3. Sergey I. Nikolenko
  4. Daifeng Peng
  5. Billie F. Spencer Jr.
  6. Gabriella Csurka
  7. Roberto Arroyo
  8. Cui Zhang
  9. Xu Peng
  10. Yifang Ma

Papers from Simon Stent's perspective

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