Aesthetic Attribute Recognition

Aesthetic Attribute Recognition is a computational method that identifies and classifies perceptual qualities of visual stimuli—such as color harmony, balance, or complexity—by analyzing low- and mid-level image features to assess distinct dimensions of aesthetic experience within a structured framework of automated aesthetic evaluation.

19

Publications

990

Citations

79

Authors

39

Institutions

Publications per year

2017–2026

10

Authors

79

  1. JL
    Jiaying Liu

    Peking University, China

    1 publications · 50 citations

    1

    h-index

  2. CC
    Chieh-Yun Chen

    National Yang Ming Chiao Tung University, Taiwan

    1 publications · 50 citations

    1

    h-index

  3. AP
    Alessandro Perina

    Italian Institute of Technology, Italy

    1 publications · 113 citations

    1

    h-index

  4. NR
    Nikhil Rasiwasia

    University of California San Diego, United States

    1 publications · 45 citations

    1

    h-index

  5. CY
    Chao Yan

    Xi’an Jiaotong-Liverpool University, China

    1 publications · 24 citations

    1

    h-index

1–5 of 79

Venues

  1. Cognitive Neurodynamics

    1 publications · 14 citations

    1

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 132 citations

    1

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 24 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 50 citations

    1

    h-index

  5. International Journal of Computer Vision

    1 publications · 102 citations

    1

    h-index

1–5