Hu He

Computer Vision and Pattern Recognition · with Upcroft · 2013

A researcher in the Science corpus: 1 paper; trusts 180 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Hu He trusts overall

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

  1. Andreas Geiger
  2. Antonio Torralba
  3. Yuri Boykov
  4. Joseph Tighe
  5. Ce Liu
  6. Bernd Kitt
  7. Svetlana Lazebnik
  8. Geoffrey E. Hinton
  9. Vladimir Kolmogorov
  10. Andrew J. Davison

Who trusts Hu He overall

  1. Richard Zhang
  2. Stefanus A. Candra
  3. Ioannis Kostavelis
  4. Kai Vetter

Papers from Hu He's perspective

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

Their papers