Yang Bai

Computer Vision and Pattern Recognition · with Guo · 2009

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Bai trusts overall

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

  1. David G. Lowe
  2. Navneet Dalal
  3. Yoav Freund
  4. Svetlana Lazebnik
  5. Takeo Kanade
  6. Anna Bosch
  7. Gwen Littlewort
  8. Robert E. Schapire
  9. Andrew Zisserman
  10. Bill Triggs

Papers from Yang Bai's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. ImageNet classification with deep convolutional neural networks
  3. Histograms of oriented gradients for human detection
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Going deeper with convolutions
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

Their papers