Gavia Gray

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 332 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Gavia Gray trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Sergey Zagoruyko
  5. Yann LeCun
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Karen Simonyan
  9. Ilya Sutskever
  10. X. Zhang

Who trusts Gavia Gray overall

  1. Mikhail Khodak
  2. Lin Wang
  3. Frederick Tung
  4. Jianping Gou
  5. Wonpyo Park
  6. Neil A. Tenenholtz
  7. Liangchen Luo
  8. Hongsheng Hu

Papers from Gavia Gray's perspective

Ordered by how strongly the researchers Gavia Gray 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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