Peter Young

Computer Vision and Pattern Recognition · 2010–2015

A researcher in the Science corpus: 6 papers; trusts 497 researchers and is trusted by 4,816 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Young trusts overall

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

  1. Micah Hodosh
  2. David G. Lowe
  3. Geoffrey E. Hinton
  4. Andrew Zisserman
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Vicente Ordonez
  9. Kaiming He
  10. Karen Simonyan

Who trusts Peter Young overall

  1. Xinlei Chen
  2. Zhe Gan
  3. Qi Wu
  4. Micah Hodosh
  5. Yi Yang
  6. Andrej Karpathy
  7. Devi Parikh
  8. Yoshua Bengio
  9. Mohit Bansal
  10. Junhua Mao

Papers from Peter Young's perspective

Ordered by how strongly the researchers Peter Young 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. 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. Learning Multiple Layers of Features from Tiny Images

Their papers