Ming-Jun Chen

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ming-Jun Chen trusts overall

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

  1. Hamid R. Sheikh
  2. Zhou Wang
  3. A. Bovik
  4. Daniel Scharstein
  5. Eero P. Simoncelli
  6. Alexandre Benoit
  7. Richard Szeliski
  8. David J. Field
  9. Muhammad Farooq Sabir
  10. P. Le Callet

Papers from Ming-Jun Chen's perspective

Ordered by how strongly the researchers Ming-Jun Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Image quality assessment: from error visibility to structural similarity
  2. Relations between the statistics of natural images and the response properties of cortical cells.
  3. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  4. Multiscale structural similarity for image quality assessment
  5. An information fidelity criterion for image quality assessment using natural scene statistics
  6. A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
  7. Quality Assessment of Stereoscopic Images (EURASIP Journal on Image and Video Processing)
  8. Visual discomfort in stereoscopic displays: a review (Electronic imaging)
  9. Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure (International Conference on Pattern Recognition)
  10. Contributions to the Physiology of Vision.

Their papers