Qing Li

Computer Vision and Pattern Recognition · with Cai · 2017

A researcher in the Science corpus: 1 paper; trusts 148 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qing Li trusts overall

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

  1. Andrea Vedaldi
  2. Andrew Zisserman
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Kaiming He
  7. Svetlana Lazebnik
  8. David G. Lowe
  9. Jitendra Malik
  10. Ross B. Girshick

Papers from Qing Li's perspective

Ordered by how strongly the researchers Qing Li 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers