Shuang Ao

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 313 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Shuang Ao trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Vladimir Naumovich Vapnik
  4. Kaiming He
  5. Ross B. Girshick
  6. Jimmy Ba
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Christian Szegedy
  10. Yann LeCun

Who trusts Shuang Ao overall

  1. Matthew Riemer
  2. Chen Gong
  3. Yonghao Xu
  4. Diganta Misra
  5. Tim Klinger
  6. Xiaojun Chang
  7. Djallel Bouneffouf
  8. Bo Du
  9. Zehao Huang
  10. Michele M. Franceschini

Papers from Shuang Ao's perspective

Ordered by how strongly the researchers Shuang Ao 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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