Luke Nicholas Darlow

Computer Vision and Pattern Recognition

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Luke Nicholas Darlow trusts overall

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

  1. Karen Simonyan
  2. Kaiming He
  3. Alex Krizhevsky
  4. Andrew Zisserman
  5. X. Zhang
  6. Olga Russakovsky
  7. Geoffrey E. Hinton
  8. Shaoqing Ren
  9. Jia Deng
  10. Ross B. Girshick

Who trusts Luke Nicholas Darlow overall

  1. Chaoyang He
  2. Nicholas Carlini
  3. Rohan Taori
  4. Frederick Tung
  5. Niv Nayman
  6. Asaf Noy
  7. Murali Annavaram
  8. Elahe Arani
  9. Steven Chen
  10. Alexander Turner

Papers from Luke Nicholas Darlow's perspective

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

Their papers