Mitchell Dawson

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mitchell Dawson trusts overall

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

  1. Davis E. King
  2. Ken Chatfield
  3. Ruogu Fang
  4. Karen Simonyan
  5. Kevin D. Tang
  6. Andrew Zisserman
  7. Andrea Vedaldi

Papers from Mitchell Dawson's perspective

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

Their papers