Visual Saliency

Visual Saliency is a computational construct in scene perception that specifies the degree to which a visual element stands out relative to its surroundings based on intrinsic low-level features such as color, intensity, orientation, and motion, thereby guiding attention to perceptually prominent locations in a visual scene.

3.6K

Publications

314.4K

Citations

8.5K

Authors

1.8K

Institutions

Publications per year

2017–2026

1.8K

Variants

Visual Salience

Authors

8.5K

  1. HL
    Huchuan Lu

    Dalian University of Technology, China

    84 publications · 15.1K citations

    47

    h-index

  2. JH
    Junwei Han

    Northwestern Polytechnical University, China

    47 publications · 7.7K citations

    35

    h-index

  3. AB
    Ali Borji

    University of Central Florida, United States

    43 publications · 7.7K citations

    32

    h-index

  4. ZL
    Zhi Liu

    Shanghai University, China

    46 publications · 2.6K citations

    28

    h-index

  5. MC
    Ming‐Ming Cheng

    Nankai University, China

    33 publications · 15K citations

    28

    h-index

1–5 of 8.5K

Venues

  1. IEEE Transactions on Image Processing

    182 publications · 22K citations

    79

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 71 publications · 31.8K citations

    49

    h-index

  3. 47

    h-index

  4. IEEE Transactions on Multimedia

    94 publications · 5.9K citations

    46

    h-index

  5. arXiv (Cornell University)

    Repository · 163 publications · 13.9K citations

    44

    h-index

1–5