Bing Xu

Computer Vision and Pattern Recognition · with Bradski · 2010

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bing Xu trusts overall

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

  1. Jianguo Zhang
  2. Dana H. Ballard
  3. David G. Lowe
  4. Subhransu Maji
  5. Silvio Savarese

Papers from Bing Xu's perspective

Ordered by how strongly the researchers Bing Xu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Histograms of oriented gradients for human detection
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers