Jing Liu

Computer Vision and Pattern Recognition · with Chen · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Liu trusts overall

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

  1. A. Bovik
  2. Zhou Wang
  3. Lin Zhang
  4. Hamid R. Sheikh
  5. Anish Mittal
  6. Anush K. Moorthy
  7. Chih-Jen Lin

Papers from Jing Liu's perspective

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

  1. Image quality assessment: from error visibility to structural similarity
  2. Image information and visual quality
  3. Multiscale structural similarity for image quality assessment
  4. No-reference perceptual quality assessment of JPEG compressed images (Proceedings. International Conference on Image Processing)
  5. LIBSVM: A library for support vector machines
  6. Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain
  7. No-Reference Image Quality Assessment in the Spatial Domain
  8. FSIM: A Feature Similarity Index for Image Quality Assessment
  9. A No-Reference Objective Image Sharpness Metric Based on the Notion of Just Noticeable Blur (JNB) (IEEE Transactions on Image Processing)
  10. Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality

Their papers