Dora Zhao

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 224 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Dora Zhao trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Tsung-Yi Lin
  7. Jimmy Ba
  8. Ross B. Girshick
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Dora Zhao overall

  1. Yusuke Hirota
  2. Angelina Wang
  3. Yuta Nakashima
  4. Noa García

Papers from Dora Zhao's perspective

Ordered by how strongly the researchers Dora 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. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers