Hugues Talbot

Computer Vision and Pattern Recognition · 2011

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 Hugues Talbot trusts overall

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

  1. Leo J. Grady
  2. Yuri Boykov

Papers from Hugues Talbot's perspective

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

  1. Normalized cuts and image segmentation
  2. Random Walks for Image Segmentation
  3. An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision
  4. Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
  5. Robust Higher Order Potentials for Enforcing Label Consistency
  6. A Seeded Image Segmentation Framework Unifying Graph Cuts And Random Walker Which Yields A New Algorithm (IEEE International Conference on Computer Vision)
  7. A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  8. A Closed-Form Solution to Natural Image Matting (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  9. A Geodesic Framework for Fast Interactive Image and Video Segmentation and Matting
  10. Segmentation by transduction

Their papers