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Fine-grained Object Semantic Understanding from Correspondences., , , , , , , and . CoRR, (2019)Estimating 6D Pose From Localizing Designated Surface Keypoints., , , , , and . CoRR, (2018)Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes., , , , , , , and . CVPR, page 1183-1192. IEEE, (2022)Understanding Pixel-Level 2D Image Semantics With 3D Keypoint Knowledge Engine., , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (9): 5780-5795 (2022)Robotic surgery remote mentoring via AR with 3D scene streaming and hand interaction., , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 11 (4): 1027-1032 (July 2023)Human Correspondence Consensus for 3D Object Semantic Understanding., , , , , , , and . ECCV (22), volume 12367 of Lecture Notes in Computer Science, page 496-512. Springer, (2020)Understanding Pixel-level 2D Image Semantics with 3D Keypoint Knowledge Engine., , , , , , , and . CoRR, (2021)Semantic Correspondence via 2D-3D-2D Cycle., , , , , , and . CoRR, (2020)Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey of Datasets and Methods., , , , and . IEEE Trans. Intell. Transp. Syst., 23 (7): 6063-6081 (2022)PyVBMC: Efficient Bayesian inference in Python., , , , and . CoRR, (2023)