Image Retrieval

Image Retrieval is a computer vision and information retrieval task that aims to automatically identify and return, from a large image collection, the images that are most relevant or similar to a user’s query (e.g., an example image or textual description) based on the analysis of image content, associated metadata, or both.

10.5K

Publications

739.4K

Citations

18.8K

Authors

3.3K

Institutions

Publications per year

2017–2026

3.1K

Authors

18.8K

  1. WM
    Wei‐Ying Ma

    Microsoft Research Asia (China), China

    62 publications · 6.9K citations

    39

    h-index

  2. SC
    Shih‐Fu Chang

    Columbia University, United States

    58 publications · 7.3K citations

    38

    h-index

  3. MW
    Meng Wang

    Hefei University of Technology, China

    54 publications · 5.5K citations

    34

    h-index

  4. HT
    Heng Tao Shen

    University of Electronic Science and Technology of China, China

    51 publications · 6.7K citations

    34

    h-index

  5. XH
    Xian‐Sheng Hua

    Microsoft Research Asia (China), China

    56 publications · 3.6K citations

    32

    h-index

1–5 of 18.8K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 165 publications · 50.4K citations

    88

    h-index

  2. IEEE Transactions on Image Processing

    253 publications · 25.6K citations

    82

    h-index

  3. IEEE Transactions on Multimedia

    254 publications · 15.9K citations

    70

    h-index

  4. Pattern Recognition

    207 publications · 16K citations

    67

    h-index

  5. arXiv (Cornell University)

    Repository · 245 publications · 15.5K citations

    60

    h-index

1–5