Zhiqiang Yao

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 154 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhiqiang Yao trusts overall

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

  1. Liang Zheng
  2. Kaiming He
  3. Karen Simonyan
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Geoffrey E. Hinton
  7. Andrew Zisserman
  8. Christian Szegedy
  9. Zhedong Zheng

Papers from Zhiqiang Yao's perspective

Ordered by how strongly the researchers Zhiqiang Yao 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: A large-scale hierarchical image database
  3. ImageNet classification with deep convolutional neural networks
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. GENERATIVE ADVERSARIAL NETS
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers