Kang Zhao

Computer Vision and Pattern Recognition · with Wang · 2021–2025

A researcher in the Science corpus: 3 papers; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kang Zhao trusts overall

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

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

Papers from Kang Zhao's perspective

Ordered by how strongly the researchers Kang Zhao trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers