Bei Zhao

Computer Vision and Pattern Recognition · with Zhang · 2016–2018

A researcher in the Science corpus: 5 papers; trusts 261 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Bei Zhao trusts overall

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

  1. David M. Blei
  2. David G. Lowe
  3. Chih-Jen Lin
  4. Yi Yang
  5. Li Fei-Fei
  6. Geoffrey E. Hinton
  7. Florent Perronnin
  8. Alex Krizhevsky
  9. Andrew Zisserman
  10. Michael I. Jordan

Who trusts Bei Zhao overall

  1. Yanfei Zhong
  2. Liangpei Zhang
  3. Gong Cheng
  4. Xiaobing Han
  5. Qiqi Zhu
  6. Fan Zhang
  7. Jian Kang
  8. Bo Du
  9. Junwei Han
  10. Liqin Cao

Papers from Bei Zhao's perspective

Ordered by how strongly the researchers Bei 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  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