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Linan Zhao

1 accepted papers

2025

Weakly-Supervised Learning of Dense Functional Correspondences

ICCV 2025poster

Establishing dense correspondences across image pairs is essential for tasks such as shape reconstruction and robot manipulation. In the challenging setting of matching across different categories, the function of an object, i.e., the effect that an object can cause on other objects, can guide how c…

Cited by 0SourcePDFScholar