Daniel Gordon

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 8 papers; trusts 890 researchers and is trusted by 626 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Gordon trusts overall

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

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

Who trusts Daniel Gordon overall

  1. Jiafei Duan
  2. Kristen Grauman
  3. Erik Wijmans
  4. Changan Chen
  5. Tushar Nagarajan
  6. Jesse Thomason
  7. Peter Alexander Jansen
  8. Devendra Singh Chaplot
  9. Unnat Jain
  10. Ali Farhadi

Papers from Daniel Gordon's perspective

Ordered by how strongly the researchers Daniel Gordon 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  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