Bingfeng Zhou

Computer Vision and Pattern Recognition · 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 Bingfeng Zhou trusts

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

  1. Jerome H. Friedman (in Artificial Intelligence)
  2. Bill Triggs (in Computer Vision and Pattern Recognition)
  3. Navneet Dalal (in Computer Vision and Pattern Recognition)
  4. Greg Mori (in Computer Vision and Pattern Recognition)

Papers from Bingfeng Zhou's perspective

Ordered by how strongly the researchers Bingfeng Zhou 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. Fast Human Detection Using a Cascade of Histograms of Oriented Gradients (Computer Vision and Pattern Recognition)
  7. Face Description with Local Binary Patterns: Application to Face Recognition
  8. SVMTorch: Support Vector Machines for Large-Scale Regression Problems (Journal of machine learning research)
  9. Robust object detection via soft cascade
  10. Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition (Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1)

Their papers