Erroll Wood

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 5 papers; trusts 94 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Erroll Wood trusts overall

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

  1. Yusuke Sugano
  2. Volker Blanz
  3. Tadas Baltrusaitis
  4. Diederik P. Kingma
  5. Kaiming He
  6. Thomas Vetter
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Xucong Zhang
  10. Xiangxin Zhu

Who trusts Erroll Wood overall

  1. Sergey I. Nikolenko
  2. Xucong Zhang
  3. Tadas Baltrusaitis
  4. Weihao Xia
  5. Tobias Fischer
  6. Yujiu Yang
  7. Amir Zadeh
  8. Louis-philippe Morency
  9. Yusuke Sugano
  10. Zhe He

Papers from Erroll Wood's perspective

Ordered by how strongly the researchers Erroll Wood 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers