John Douglas Owens

Computer Vision and Pattern Recognition · 2000–2020

A researcher in the Science corpus: 12 papers; trusts 94 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom John Douglas Owens trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Jens Harald Krüger
  4. Yann LeCun
  5. Diederik P. Kingma
  6. Jianwen Xie
  7. Yoshua Bengio
  8. David Tarditi
  9. Kaiming He
  10. Dan Hendrycks

Who trusts John Douglas Owens overall

  1. Thomas Moscibroda
  2. John E. Stone
  3. Onur Mutlu
  4. Yixuan Li
  5. Rui Huang
  6. Bingsheng He
  7. Daniel Delling
  8. Nicolas Pinto
  9. Andreas Klöckner
  10. Cyrille Rossant

Papers from John Douglas Owens's perspective

Ordered by how strongly the researchers John Douglas Owens 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers