Qiang Shen

Computer Vision and Pattern Recognition · with Li · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 279 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Qiang Shen trusts overall

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

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

Who trusts Qiang Shen overall

  1. Yushi Chen

Papers from Qiang Shen's perspective

Ordered by how strongly the researchers Qiang Shen 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers