Michael Wray

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 9 papers; trusts 774 researchers and is trusted by 189 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Wray trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Antoine Miech
  5. Andrew Zisserman
  6. Ross B. Girshick
  7. Diederik P. Kingma
  8. Karen Simonyan
  9. Ivan Laptev
  10. Yoshua Bengio

Who trusts Michael Wray overall

  1. Dima Damen
  2. Antoine Miech
  3. Hazel Doughty
  4. Jean-Baptiste Alayrac
  5. Ivan Laptev
  6. Valentin Gabeur
  7. Antonino Furnari
  8. Andrew Rouditchenko
  9. Kevin Qinghong Lin
  10. Giovanni Maria Farinella

Papers from Michael Wray's perspective

Ordered by how strongly the researchers Michael Wray 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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