Kaiyong Zhao

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 993 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Kaiyong Zhao trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Karen Simonyan
  6. Ilya Sutskever
  7. Ross B. Girshick
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Andrew Zisserman

Who trusts Kaiyong Zhao overall

  1. Marc-André Zöller
  2. Yi-Wei Chen
  3. Sebastian Raschka
  4. Mostafa Dehghani
  5. Eduardo Mosqueira-Rey
  6. Basil Mustafa

Papers from Kaiyong Zhao's perspective

Ordered by how strongly the researchers Kaiyong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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