Yun Li

Computer Vision and Pattern Recognition · with Li · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yun Li trusts

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

  1. Luminita A. Vese (in Computer Vision and Pattern Recognition)
  2. Tony F. Chan (in Computer Vision and Pattern Recognition)

Papers from Yun Li's perspective

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

  1. Normalized cuts and image segmentation
  2. Backpropagation Applied to Handwritten Zip Code Recognition
  3. Snakes: Active contour models
  4. A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model (International Journal of Computer Vision)
  5. Active contours without edges
  6. Level set evolution without re-initialization: a new variational formulation (Computer Vision and Pattern Recognition)
  7. Minimization of Region-Scalable Fitting Energy for Image Segmentation (IEEE Transactions on Image Processing)
  8. Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation
  9. A Level Set Approach to Image Segmentation With Intensity Inhomogeneity (IEEE Transactions on Cybernetics)
  10. A binary level set model and some applications to Mumford-Shah image segmentation (IEEE Transactions on Image Processing)

Their papers