Context-adaptive Fusion
Context-Adaptive Fusion is a context-aware fusion strategy that dynamically adjusts the integration process of multimodal or heterogeneous data based on the prevailing contextual conditions, distinguishing itself by its ability to modify fusion mechanisms in real time according to environmental, situational, or operational context.
32
Publications
1.3K
Citations
144
Authors
63
Institutions
Publications per year
2017–2026
21
Parents
32
Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception
Kun Yang, Dingkang Yang, Jingyu Zhang et al. · 2023 · 83 citations
1–5 of 32
144
University at Buffalo, State University of New York, United States
2 publications · 96 citations
2
h-index
2
h-index
2
h-index
2
h-index
1
h-index
1–5 of 144
63
Northeastern University
Boston, United States
2 h-index
2 publications
83 citations
New York University
New York, United States
2 h-index
5 publications
192 citations
Defence Research and Development Canada
Ottawa, Canada
2 h-index
4 publications
162 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
8 publications
150 citations
Wuhan University
Wuhan, China
2 h-index
8 publications
772 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
8 publications
575 citations
University at Buffalo, State University of New York
Buffalo, United States
2 h-index
5 publications
192 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
7 publications
135 citations
1–8 of 63
2 publications · 75 citations
2
h-index
2 publications · 58 citations
2
h-index
1 publications · 22 citations
1
h-index
Conference · 1 publications · 100 citations
1
h-index
1 publications · 18 citations
1
h-index
1–5