Simon Mayo

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Mayo trusts overall

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

  1. Alex Krizhevsky
  2. Matthew D. Zeiler
  3. Geoffrey E. Hinton

Papers from Simon Mayo's perspective

Ordered by how strongly the researchers Simon Mayo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Microsoft COCO: Common Objects in Context
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Visualizing and Understanding Convolutional Networks
  6. Gradient-based learning applied to document recognition
  7. Caffe: Convolutional Architecture for Fast Feature Embedding
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers