Huajun Zhou

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 156 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Huajun Zhou trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Alex Krizhevsky
  4. Huchuan Lu
  5. Geoffrey E. Hinton
  6. Andrew Zisserman
  7. Ross B. Girshick
  8. Jia Deng
  9. Zhe Wu
  10. Pingping Zhang

Who trusts Huajun Zhou overall

  1. Nian Liu

Papers from Huajun Zhou's perspective

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

Their papers