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
Parents
14
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
Bowen Cheng, Bin Xiao, Jingdong Wang et al. · 2020 · 919 citations
HiCDB: a sensitive and robust method for detecting contact domain boundaries
Fengling Chen, Guipeng Li, Michael Q. Zhang et al. · Nucleic Acids Research · 2018 · 52 citations · Full text
1–5 of 14
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University of Illinois Urbana-Champaign, United States
3 publications · 1.2K citations
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1–5 of 47
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University of Oregon
Eugene, United States
3 h-index
3 publications
1.2K citations
University of California, Irvine
Irvine, United States
2 h-index
4 publications
474 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
6 publications
3K citations
International University of the Caribbean
Kingston, Jamaica
2 h-index
4 publications
2K citations
Stony Brook University
Stony Brook, United States
2 h-index
6 publications
159 citations
Tsinghua University
Beijing, China
1 h-index
4 publications
208 citations

Sun Yat-sen University
Guangzhou, China
1 h-index
4 publications
92 citations
The University of Texas at Dallas
Richardson, United States
1 h-index
1 publications
52 citations
1–8 of 21
2 publications · 44 citations
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1 publications · 52 citations
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1 publications · 14 citations
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1 publications · 28 citations
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Repository · 1 publications · 75 citations
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