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PDConv: Rigid transformation invariant convolution for 3D point clouds.

, , , , , , и . Expert Syst. Appl., (2022)

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Haowen Yan

Zhiguo Deng

Mario Deng

Ming Deng

Wen Deng

 

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6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference., , , , , , и . ECCV (18), том 12363 из Lecture Notes in Computer Science, стр. 139-157. Springer, (2020)PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors., , и . ECCV (5), том 11209 из Lecture Notes in Computer Science, стр. 620-638. Springer, (2018)PDConv: Rigid transformation invariant convolution for 3D point clouds., , , , , , и . Expert Syst. Appl., (2022)3D Local Features for Direct Pairwise Registration., , и . CVPR, стр. 3244-3253. Computer Vision Foundation / IEEE, (2019)PPFNet: Global Context Aware Local Features for Robust 3D Point Matching., , и . CVPR, стр. 195-205. Computer Vision Foundation / IEEE Computer Society, (2018)Multi-radar Tracking based on Weighted k-means Clustering Fusion., , , и . GrC, стр. 813-816. IEEE, (2008)3D Point-Capsule Networks., , , и . CoRR, (2018)Potential Convolution: Embedding Point Clouds into Potential Fields., , , , , и . CoRR, (2021)Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation., , , , , и . Int. J. Comput. Vis., 130 (7): 1627-1654 (2022)Ensemble learning for the early prediction of neonatal jaundice with genetic features., , , и . BMC Medical Informatics Decis. Mak., 21 (1): 338 (декабря 2021)