Multi-resolution Aggregation

Multi-Resolution Aggregation is an aggregation method that integrates features across multiple spatial or temporal scales to capture both fine-grained local details and coarse-grained global structures within a hierarchical representation.

14

Publications

1.6K

Citations

47

Authors

21

Institutions

Publications per year

2017–2026

10

Authors

47

  1. TS
    Thomas S. Huang

    University of Illinois Urbana-Champaign, United States

    3 publications · 1.2K citations

    3

    h-index

  2. JG
    Jie Gao

    Stony Brook University, United States

    2 publications · 53 citations

    2

    h-index

  3. BC
    Bowen Cheng

    University of Illinois Urbana-Champaign, United States

    2 publications · 994 citations

    2

    h-index

  4. SM
    Sharad Mehrotra

    University of California, Irvine, United States

    2 publications · 237 citations

    2

    h-index

  5. JW
    Jingdong Wang

    Microsoft Research Asia (China), China

    2 publications · 994 citations

    2

    h-index

1–5 of 47

Venues

  1. IEEE Access

    2 publications · 44 citations

    2

    h-index

  2. Nucleic Acids Research

    1 publications · 52 citations

    1

    h-index

  3. Multimedia Tools and Applications

    1 publications · 14 citations

    1

    h-index

  4. Physics of Fluids

    1 publications · 28 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 75 citations

    1

    h-index

1–5