Li Shen

Computer Vision and Pattern Recognition · with Bruzzone · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Li Shen trusts overall

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

  1. David G. Lowe
  2. John F. Canny

Papers from Li Shen's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Histograms of oriented gradients for human detection
  3. ORB: An efficient alternative to SIFT or SURF
  4. A Computational Approach to Edge Detection
  5. Matching Local Self-Similarities across Images and Videos
  6. Data-driven visual similarity for cross-domain image matching
  7. Image registration by maximization of combined mutual information and gradient information (IEEE Transactions on Medical Imaging)
  8. A fast area-based stereo matching algorithm (Image and Vision Computing)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers