Clique-graph matching by preserving global & local structure

By Wei-zhi Nie, Anan Liu, Zan Gao, Yuting Su. 2015

60 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Hanqing Lu
2. Xu Zhao
3. Chaoyang Zhao
4. Yi Wu
5. Jinqiao Wang
6. Yousong Zhu

In Computer Vision and Pattern Recognition

1. Jinqiao Wang
2. Xu Zhao
3. Hanqing Lu
4. Chaoyang Zhao
5. Yi Wu
6. Yousong Zhu
7. Liang Wang
8. Ling Shao

Citations in the corpus

• CoupleNet: Coupling Global Structure with Local Parts for Object Detection (2017, methodology): “[19] proposed a clique-graph matching method by preserving global clique-to-clique correspondence and local unary and pairwise correspondences.”