Do-Kyoung Kwon
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
- Computer Vision and Pattern Recognition — 9 citations into it
- Media Technology — 7 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Do-Kyoung Kwon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Do-Kyoung Kwon's perspective
Ordered by how strongly the researchers Do-Kyoung Kwon trusts endorse each paper. Same corpus, a different order for every researcher.
- Relations between the statistics of natural images and the response properties of cortical cells.
- A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
- Image quality assessment: from error visibility to structural similarity
- Multiscale structural similarity for image quality assessment
- An information fidelity criterion for image quality assessment using natural scene statistics
- A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
- Visual discomfort in stereoscopic displays: a review (Electronic imaging)
- Quality Assessment of Stereoscopic Images (EURASIP Journal on Image and Video Processing)
- Contributions to the Physiology of Vision.
- Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure (International Conference on Pattern Recognition)
Their papers
- Full-reference quality assessment of stereopairs accounting for rivalry (2013) — 369 citations