Branching Path Following for Graph Matching-Reference-Cited by-同舟云学术

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Branching Path Following for Graph Matching

Published:2016 Issue: Volume: Page:508-523
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2016
language:
Short-container-title:

Author:

Wang Tao,Ling Haibin,Lang Congyan,Wu Jun

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-46475-6_32

Reference45 articles.

1. Serradell, E., Pinheiro, M.A., Sznitman, R., Kybic, J., Moreno-Noguer, F., Fua, P.: Non-rigid graph registration using active testing search. PAMI 37(3), 625–638 (2015)

2. Lecture Notes in Computer Science;L Torresani,2008

3. Wang, J., Li, S.: Query-driven iterated neighborhood graph search for large scale indexing. In: ACM MM, pp. 179–188 (2012)

4. Bai, X., Yang, X., Latecki, L.J., Liu, W., Tu, Z.: Learning context-sensitive shape similarity by graph transduction. PAMI 32(5), 861–874 (2010)

5. Michel, D., Oikonomidis, I., Argyros, A.A.: Scale invariant and deformation tolerant partial shape matching. Image Vis. Comput. 29(7), 459–469 (2011)

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1. Supervised learning for parameterized Koopmans–Beckmann’s graph matching;Pattern Recognition Letters;2021-03

2. Co-saliency Detection with Graph Matching;ACM Transactions on Intelligent Systems and Technology;2019-05-31

3. Regularized Diffusion Process on Bidirectional Context for Object Retrieval;IEEE Transactions on Pattern Analysis and Machine Intelligence;2019-05-01

4. Graph Matching with Adaptive and Branching Path Following;IEEE Transactions on Pattern Analysis and Machine Intelligence;2018-12-01

5. A novel hypergraph matching algorithm based on tensor refining;Journal of Visual Communication and Image Representation;2018-11

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