Jun Fang

Computer Vision and Pattern Recognition · with Cheng · 2013

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Fang trusts overall

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

  1. David G. Lowe
  2. Andrew Zisserman
  3. Cordelia Schmid
  4. Li Fei-Fei
  5. Krystian Mikolajczyk
  6. Josef Sivic
  7. Jitendra Malik
  8. Alexei A. Efros
  9. Rahul Sukthankar
  10. Ross B. Girshick

Who trusts Jun Fang overall

  1. Gong Cheng

Papers from Jun Fang's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Video Google: a text retrieval approach to object matching in videos
  3. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  4. A performance evaluation of local descriptors
  5. An Affine Invariant Interest Point Detector (European Conference on Computer Vision)
  6. SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition
  7. Discovering objects and their location in images
  8. PCA-SIFT: a more distinctive representation for local image descriptors
  9. Scale & Affine Invariant Interest Point Detectors
  10. Unsupervised Learning by Probabilistic Latent Semantic Analysis

Their papers