Ben Harwood

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 260 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Ben Harwood trusts overall

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

  1. David G. Lowe
  2. Herv'e J'egou
  3. Antonio Torralba
  4. Matthijs C. Dorst
  5. Geoffrey E. Hinton
  6. Aude Oliva
  7. Kaiming He
  8. Alex Krizhevsky
  9. Marius Muja
  10. Christian Szegedy

Who trusts Ben Harwood overall

  1. Matthijs Douze
  2. Mengzhao Wang
  3. Xu Zhang
  4. Xiang Wu
  5. Ahmet Iscen
  6. Mang Ye
  7. Weifeng Ge
  8. Ruiqi Guo
  9. Timo Milbich
  10. Arthur Szlam

Papers from Ben Harwood's perspective

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

Their papers