Kai Zhao

Computer Vision and Pattern Recognition · with Bai · 2016

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 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. Radford M. Neal
  2. Piotr Doll'ar
  3. Karen Simonyan
  4. C. Lawrence Zitnick
  5. Xiaofeng Ren
  6. Ross B. Girshick
  7. Andrew Zisserman
  8. Geoffrey E. Hinton
  9. Kaiming He
  10. Alex Krizhevsky

Who trusts Kai Zhao overall

  1. Christopher Funk

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. Gradient-based learning applied to document recognition
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers