Spatial Query Representation

Spatial Query Representation is a formal method for encoding spatial relationships and constraints within geographic or geometric data, distinguished by its structured synthesis of topological, directional, and metric information to enable precise retrieval and reasoning in spatial databases.

20

Publications

622

Citations

68

Authors

38

Institutions

Publications per year

2017–2026

6

Authors

68

  1. MG
    Marc Gyssens

    Indiana University Bloomington, United States

    1 publications · 21 citations

    1

    h-index

  2. XC
    Xiaokang Chen

    Peking University, China

    1 publications · 11 citations

    1

    h-index

  3. XL
    Xiaodong Lin

    University of Waterloo, Canada

    1 publications · 19 citations

    1

    h-index

  4. DY
    De-Nian Yang

    National Taiwan University, Taiwan

    1 publications · 24 citations

    1

    h-index

  5. JW
    Jingdong Wang

    Microsoft Research Asia (China), China

    1 publications · 11 citations

    1

    h-index

1–5 of 68

Venues

  1. 1

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  2. 1

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  3. Information Sciences

    1 publications · 17 citations

    1

    h-index

  4. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 1 publications · 11 citations

    1

    h-index

  5. IEEE Transactions on Vehicular Technology

    1 publications · 19 citations

    1

    h-index

1–5