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Dual-Branch Deep Point Cloud Registration Framework for Unconstrained Rotation.

, , , , and . IEEE Trans. Ind. Informatics, 19 (7): 7851-7861 (July 2023)

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Geometry Sharing Network for 3D Point Cloud Classification and Segmentation., , and . CoRR, (2019)Towards robustness and generalization of point cloud representation: A geometry coding method and a large-scale object-level dataset., , , and . Comput. Vis. Media, 10 (1): 27-43 (February 2023)CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning., , , , and . CoRR, (2022)Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud., , , and . AAAI, page 3047-3055. AAAI Press, (2021)MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency., , , , , , and . CVPR, page 4380-4390. IEEE, (2023)Dual-Branch Deep Point Cloud Registration Framework for Unconstrained Rotation., , , , and . IEEE Trans. Ind. Informatics, 19 (7): 7851-7861 (July 2023)CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm., , , and . CoRR, (2022)Geometry Sharing Network for 3D Point Cloud Classification and Segmentation., , and . AAAI, page 12500-12507. AAAI Press, (2020)Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results., , , , , , , , , and 19 other author(s). CoRR, (2021)CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (8): 9583-9594 (August 2023)