Jing Xiao

Computer Vision and Pattern Recognition · with Chen · 2013

A researcher in the Science corpus: 1 paper; trusts 76 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Xiao trusts overall

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

  1. Paul A. Viola
  2. Pedro F. Felzenszwalb
  3. Ross B. Girshick
  4. Manik Varma
  5. Antonio Torralba
  6. Andrew Zisserman
  7. Piotr Doll'ar
  8. Zhuowen Tu
  9. Geoffrey E. Hinton
  10. Andrea Vedaldi

Who trusts Jing Xiao overall

  1. Jan Hendrik Hosang
  2. Wanli Ouyang

Papers from Jing Xiao's perspective

Ordered by how strongly the researchers Jing Xiao 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. Histograms of oriented gradients for human detection
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  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