Context-aware Information Fusion
Context-Aware Information Fusion is an information fusion paradigm that integrates heterogeneous data sources by dynamically incorporating contextual knowledge to enhance the accuracy, relevance, and adaptability of fused information.
169
Publications
9.2K
Citations
653
Authors
301
Institutions
Publications per year
2017–2026
90
Parents
169
Lukas Hoyer, Dengxin Dai, Luc Van Gool · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 571 citations · Full text
1–5 of 169
653
5
h-index
4
h-index
3
h-index
3
h-index
University at Buffalo, State University of New York, United States
3 publications · 192 citations
3
h-index
1–5 of 653
301

Chinese Academy of Sciences
Beijing, China
6 h-index
21 publications
887 citations
University at Buffalo, State University of New York
Buffalo, United States
5 h-index
11 publications
375 citations

Universidad Carlos III de Madrid
Madrid, Spain
5 h-index
17 publications
608 citations

United States Air Force Research Laboratory
Wright-Patterson AFB, United States
4 h-index
5 publications
237 citations
Tsinghua University
Beijing, China
4 h-index
8 publications
128 citations

Harbin Institute of Technology
Harbin, China
4 h-index
17 publications
1.4K citations
New York University
New York, United States
3 h-index
10 publications
278 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
4 publications
272 citations
1–8 of 301
16 publications · 874 citations
14
h-index
5 publications · 331 citations
5
h-index
Repository · 4 publications · 56 citations
4
h-index
3 publications · 63 citations
3
h-index
3 publications · 65 citations
3
h-index
1–5