Dong Zhao

Computer Vision and Pattern Recognition · with Li · 2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dong Zhao trusts overall

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

  1. Pierre Sermanet
  2. Alex Krizhevsky
  3. Yann LeCun

Who trusts Dong Zhao overall

  1. Vincenzo Lomonaco
  2. Chen Lu

Papers from Dong Zhao's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Traffic sign recognition with multi-scale Convolutional Networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers