John R. Smith

Computer Vision and Pattern Recognition · 2003–2019

A researcher in the Science corpus: 12 papers; trusts 841 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom John R. Smith trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Ilya Sutskever
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Ross B. Girshick
  9. Oriol Vinyals
  10. David G. Lowe

Who trusts John R. Smith overall

  1. Cees G. M. Snoek
  2. Kimmo Kärkkäinen
  3. Soravit Changpinyo
  4. Marcel Worring
  5. Inioluwa Deborah Raji
  6. Wei-Lun Chao
  7. Winston H. Hsu

Papers from John R. Smith's perspective

Ordered by how strongly the researchers John R. Smith 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers