Yi Liu

Computer Vision and Pattern Recognition · with Huang · 2008

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Liu trusts overall

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

  1. Jerome H. Friedman
  2. Navneet Dalal
  3. Robert E. Schapire
  4. Ronan Collobert

Papers from Yi Liu's perspective

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

  1. Histograms of oriented gradients for human detection
  2. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  3. Human Detection Using Oriented Histograms of Flow and Appearance
  4. Improved Boosting Algorithms Using Confidence-rated Predictions
  5. Pattern Classification
  6. ImageNet classification with deep convolutional neural networks
  7. Face Description with Local Binary Patterns: Application to Face Recognition
  8. Fast Human Detection Using a Cascade of Histograms of Oriented Gradients (Computer Vision and Pattern Recognition)
  9. SVMTorch: Support Vector Machines for Large-Scale Regression Problems (Journal of machine learning research)
  10. Robust object detection via soft cascade

Their papers