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Published in IEEE Transactions on Image Processing (TIP), 2023, 2023
This paper proposes a novel and effective network to guide the correspondence filtering strategy by learning the preference scores of correspondences.
Published in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 2023
This paper develops an effective NCMNet for correspondence pruning, obtaining considerable performance gains when compared to state-of-the-art works.
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024, 2024
This manuscript is an extension of the preliminary conference version (TNet) appeared in ICCV 2021.
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024, 2024
This manuscript is an extension of our preliminary conference version (NCMNet) appeared in CVPR 2023.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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