Oliver J. Woodford

Computer Vision and Pattern Recognition · 2008–2021

A researcher in the Science corpus: 3 papers; trusts 122 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Oliver J. Woodford trusts overall

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

  1. Pedro F. Felzenszwalb
  2. Vladimir Kolmogorov
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Daniel Scharstein
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Kaiming He
  10. Ilya Sutskever

Who trusts Oliver J. Woodford overall

  1. Hiroshi Ishikawa
  2. Andreas Geiger
  3. Fatma Güney
  4. M. Pawan Kumar
  5. Aristeidis Sotiras
  6. Michael Bleyer
  7. Tingxian Wang
  8. Ke Zhang
  9. Jian Zhao
  10. Nan Yang

Papers from Oliver J. Woodford's perspective

Ordered by how strongly the researchers Oliver J. Woodford 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. GENERATIVE ADVERSARIAL NETS
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers