no code implementations • 27 Oct 2023 • Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan
Existing graph matching methods typically assume that there are similar structures between graphs and they are matchable.
no code implementations • 19 Oct 2022 • Zetian Jiang, Jiaxin Lu, Tianzhe Wang, Junchi Yan
We consider the general setting for partial matching of two or multiple graphs, in the sense that not necessarily all the nodes in one graph can find their correspondences in another graph and vice versa.
2 code implementations • 16 Dec 2020 • Chang Liu, Zetian Jiang, Runzhong Wang, Junchi Yan, Lingxiao Huang, Pinyan Lu
As such, the agent can finish inlier matching timely when the affinity score stops growing, for which otherwise an additional parameter i. e. the number of inliers is needed to avoid matching outliers.
no code implementations • 12 Jun 2020 • He Wang, Zetian Jiang, Li Yi, Kaichun Mo, Hao Su, Leonidas J. Guibas
We further study how different evaluation metrics weigh the sampling pattern against the geometry and propose several perceptual metrics forming a sampling spectrum of metrics.