Dian Shao

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 557 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dian Shao trusts overall

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

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

Who trusts Dian Shao overall

  1. Wenjie Zhu

Papers from Dian Shao's perspective

Ordered by how strongly the researchers Dian Shao 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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