Kai Zhao

Computer Vision and Pattern Recognition · with Zhang · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 327 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Zhao trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. David G. Lowe
  7. Christian Szegedy
  8. Shaoqing Ren
  9. Andrew Zisserman
  10. Yann LeCun

Who trusts Kai Zhao overall

  1. Deng-Ping Fan
  2. Qibin Hou
  3. Yu-Huan Wu
  4. Ming-Ming Cheng
  5. Tao Zhou

Papers from Kai Zhao's perspective

Ordered by how strongly the researchers Kai 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. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers