Huijing Zhao

Computer Vision and Pattern Recognition · 2013–2016

A researcher in the Science corpus: 6 papers; trusts 258 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Huijing Zhao trusts overall

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

  1. Vladimir Kolmogorov
  2. Navneet Dalal
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Kaiming He
  6. Andreas Geiger
  7. Pedro F. Felzenszwalb
  8. Christian Wojek
  9. David G. Lowe
  10. Ross B. Girshick

Who trusts Huijing Zhao overall

  1. Quanshi Zhang

Papers from Huijing Zhao's perspective

Ordered by how strongly the researchers Huijing Zhao 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. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers