Shi Qiu

Computer Vision and Pattern Recognition · with Wang · 2014–2017

A researcher in the Science corpus: 4 papers; trusts 492 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Shi Qiu trusts overall

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

  1. Ross B. Girshick
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Karen Simonyan
  6. David G. Lowe
  7. Andrew Zisserman
  8. Ilya Sutskever
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Shi Qiu overall

  1. Wanli Ouyang
  2. Patrick Esser
  3. Xintong Han
  4. Qi Dong
  5. Xiaogang Wang
  6. Zhen Zhu
  7. Liqian Ma
  8. Andrew Zhai

Papers from Shi Qiu's perspective

Ordered by how strongly the researchers Shi Qiu 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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