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Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.107.014302
Abstract: Node role explainability in complex networks is very difficult yet is crucial in different application domains such as social science, neurosciences, or computer science. Many efforts have been made on the quantification of hubs revealing…
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Keywords:
graph;
relation graph;
nodal statistics;
equivalence relation ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3215168
Abstract: Building a dense correspondence between two images is a fundamental vision problem. Most existing methods use local features, but global features cannot be ignored. Local features are often not enough to disambiguate similar regions without…
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Keywords:
multi scale;
scale attention;
structural relation;
feature ... See more keywords
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Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3110682
Abstract: Social relations are ubiquitous and form the basis of social structure in our daily life. However, existing studies mainly focus on recognizing social relations from still images and movie clips, which are different from real-world…
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Keywords:
video;
spatio temporal;
temporal relation;
relation graph ... See more keywords