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Deep Learning for Robust Normal Estimation in Unstructured Point Clouds, and . Proceedings of the Symposium on Geometry Processing, page 281--290. Goslar Germany, Germany, Eurographics Association, (2016)Match Selection and Refinement for Highly Accurate Two-View Structure from Motion., , and . ECCV (2), volume 8690 of Lecture Notes in Computer Science, page 818-833. Springer, (2014)Virtual Line Descriptor and Semi-Local Graph Matching Method for Reliable Feature Correspondence., and . BMVC, page 1-11. BMVA Press, (2012)A Declarative Approach for Designing and Developing Adaptive Components., , , , and . ASE, page 111-. IEEE Computer Society, (2000)PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning., , and . 3DV, page 74-84. IEEE, (2021)Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds., , , , and . 3DV, page 992-1002. IEEE, (2021)BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds., , , , and . 3DV, page 559-568. IEEE, (2024)PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds., , , and . ICCV, page 13209-13218. IEEE, (2021)VASAD: a Volume and Semantic dataset for Building Reconstruction from Point Clouds., , , and . ICPR, page 4008-4015. IEEE, (2022)NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping., , , and . 3DV, page 940-950. IEEE, (2021)