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BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation., , , , , , and . IEEE Trans. Image Process., 26 (8): 3707-3720 (2017)Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax., , , , , , and . IEEE Trans. Image Process., 27 (6): 3049-3063 (2018)A quasi-Monte Carlo method for computing areas of point-sampled surfaces., , , , and . Comput. Aided Des., 38 (1): 55-68 (2006)Automatic least-squares projection of points onto point clouds with applications in reverse engineering., , , , , , and . Comput. Aided Des., 38 (12): 1251-1263 (2006)3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow., , , , and . CoRR, (2022)Modeling and validating temporal rules with semantic Petri net for digital twins., , , , , and . Adv. Eng. Informatics, (August 2023)MVDLite: A fast validation algorithm for Model View Definition rules., , , , , and . Adv. Eng. Informatics, (October 2023)Self-Supervised Point Cloud Representation Learning with Occlusion Auto-Encoder., , , , and . CoRR, (2022)Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces., , , and . CoRR, (2020)Fast Learning Radiance Fields by Shooting Much Fewer Rays., , , , , and . IEEE Trans. Image Process., (2023)