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Metric Learning for 2D Image Patch and 3D Point Cloud Volume Matching.

, , , , , , , and . IGARSS, page 3416-3419. IEEE, (2021)

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Learning Cross-Domain Descriptors for 2D-3D Matching with Hard Triplet Loss and Spatial Transformer Network., , , , , , , , and . ICIG (3), volume 12890 of Lecture Notes in Computer Science, page 15-27. Springer, (2021)Ground Camera Image and Large-Scale 3-D Image-Based Point Cloud Registration Based on Learning Domain Invariant Feature Descriptors., , , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Y-Net: Learning Domain Robust Feature Representation for ground camera image and large-scale image-based point cloud registration., , , , , , , , , and . Inf. Sci., (2021)2D3D-MVPNet: Learning cross-domain feature descriptors for 2D-3D matching based on multi-view projections of point clouds., , , , , , , , and . Appl. Intell., 52 (12): 14178-14193 (2022)Metric Learning for 2D Image Patch and 3D Point Cloud Volume Matching., , , , , , , and . IGARSS, page 3416-3419. IEEE, (2021)Learning to Match 2D Images and 3D LiDAR Point Clouds for Outdoor Augmented Reality., , , , , , , , , and . VR Workshops, page 655-656. IEEE, (2020)Matching 2D Image Patches and 3D Point Cloud Volumes by Learning Local Cross-domain Feature Descriptors., , , , , , , , and . VR Workshops, page 516-517. IEEE, (2021)