Qing Xu

Computer Vision and Pattern Recognition · with Duan · 2022

A researcher in the Science corpus: 1 paper; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qing Xu trusts overall

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

  1. François Chollet
  2. Karen Simonyan
  3. Kaiming He
  4. Hamid R. Tizhoosh
  5. Debesh Jha
  6. Andrew Zisserman
  7. Olaf Ronneberger
  8. X. Zhang
  9. Alex Krizhevsky
  10. Geoffrey E. Hinton

Papers from Qing Xu's perspective

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

Their papers