Hazel Doughty

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 5 papers; trusts 665 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Hazel Doughty trusts overall

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

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

Who trusts Hazel Doughty overall

  1. Antonino Furnari
  2. Tushar Nagarajan
  3. Kristen Grauman
  4. Giovanni Maria Farinella
  5. Ilija Radosavovic
  6. Francesco Ragusa
  7. Tete Xiao
  8. Michael Gygli
  9. Dima Damen
  10. Rohit Girdhar

Papers from Hazel Doughty's perspective

Ordered by how strongly the researchers Hazel Doughty 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. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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