Haijun Wang

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haijun Wang trusts overall

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

  1. Tony F. Chan
  2. Luminita A. Vese
  3. Chunming Li
  4. Mikaël Rousson
  5. Rachid Deriche
  6. Nikos Paragios
  7. Andy Tsai
  8. Daniel Cremers
  9. Yunyun Yang
  10. Chiu Yen Kao

Papers from Haijun Wang's perspective

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

  1. Snakes: Active contour models
  2. Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification (IEEE Transactions on Image Processing)
  3. Active contours without edges
  4. A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model (International Journal of Computer Vision)
  5. Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation (International Journal of Computer Vision)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Normalized cuts and image segmentation
  8. Statistical shape influence in geodesic active contours (Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662))
  9. Active unsupervised texture segmentation on a diffusion based feature space (2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.)
  10. Level set evolution without re-initialization: a new variational formulation (Computer Vision and Pattern Recognition)

Their papers