Oliver Whyte

Computer Vision and Pattern Recognition · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 91 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Oliver Whyte trusts overall

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

  1. Alexei A. Efros
  2. David G. Lowe
  3. Patrick Pérez
  4. Radford M. Neal
  5. Vladimir Kolmogorov
  6. Robert Tibshirani
  7. Krystian Mikolajczyk
  8. Anat Levin
  9. William T. Freeman
  10. Geoffrey E. Hinton

Who trusts Oliver Whyte overall

  1. Michael Hirsch
  2. Tae Hyun Kim
  3. Jia-Bin Huang
  4. Jin-shan Pan
  5. Ce Liu
  6. Kyoung Mu Lee
  7. Raymond A. Yeh
  8. Abhinav Shrivastava
  9. Jian Sun
  10. Dilip Krishnan

Papers from Oliver Whyte's perspective

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

Their papers