Alan Gillette

Computer Vision and Pattern Recognition · 2007

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 Alan Gillette trusts overall

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

  1. Jianhong Shen
  2. Marcelo Bertalmío
  3. Selim Esedoglu

Papers from Alan Gillette's perspective

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

  1. Image inpainting
  2. Digital inpainting based on the Mumford–Shah–Euler image model
  3. Navier-stokes, fluid dynamics, and image and video inpainting (Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001)
  4. Euler's Elastica and Curvature-Based Inpainting (SIAM Journal on Applied Mathematics)
  5. Nonlinear total variation based noise removal algorithms
  6. Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing (Journal of Scientific Computing)
  7. Oscillating Patterns in Image Processing and Nonlinear Evolution Equations: The Fifteenth Dean Jacqueline B. Lewis Memorial Lectures
  8. Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification (IEEE Transactions on Image Processing)
  9. User’s guide to viscosity solutions of second order partial differential equations
  10. A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model (International Journal of Computer Vision)

Their papers