P. Le Callet

Computer Vision and Pattern Recognition · 2004–2013

A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom P. Le Callet trusts overall

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

  1. Laurent Itti
  2. Pedro F. Felzenszwalb
  3. Vladimir Kolmogorov
  4. Derrick J. Parkhurst
  5. Daniel Scharstein
  6. James H. Elder
  7. Christof Koch
  8. O. Le Meur
  9. Zhou Wang

Who trusts P. Le Callet overall

  1. Damon M. Chandler
  2. Yanjiao Chen
  3. Lark Kwon Choi
  4. Maria G. Martini
  5. Vlad Hosu
  6. Tilke Judd
  7. O. Le Meur
  8. Ali Borji
  9. A. Bovik
  10. Hanhe Lin

Papers from P. Le Callet's perspective

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

  1. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  2. Efficient Belief Propagation for Early Vision (Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.)
  3. Algorithms for Defining Visual Regions-of-Interest: Comparison with Eye Fixations (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  4. Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters (Proceedings Ninth IEEE International Conference on Computer Vision)
  5. Image quality assessment: from error visibility to structural similarity
  6. A saliency-based search mechanism for overt and covert shifts of visual attention. (Vision Research)
  7. Modeling the role of salience in the allocation of overt visual attention. (Vision Research)
  8. Visual correlates of fixation selection: effects of scale and time. (Vision Research)
  9. A coherent computational approach to model bottom-up visual attention (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  10. Multi-camera Scene Reconstruction via Graph Cuts (European Conference on Computer Vision)

Their papers