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Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data.

, , , , and . ICCV, page 1588-1597. IEEE, (2019)

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Creating and understanding 3D annotated scene meshes., , and . SIGGRAPH Asia, page 136:1-136:148. ACM, (2019)Real-Time Progressive 3D Semantic Segmentation for Indoor Scenes., , , and . WACV, page 1089-1098. IEEE, (2019)A*3D Dataset: Towards Autonomous Driving in Challenging Environments., , , , , , , , and . ICRA, page 2267-2273. IEEE, (2020)Point-set Distances for Learning Representations of 3D Point Clouds., , , , , and . ICCV, page 10458-10467. IEEE, (2021)A Field Model for Repairing 3D Shapes., , , , and . CVPR, page 5676-5684. IEEE Computer Society, (2016)Some improvements in the RGB-D SLAM system., and . RIVF, page 112-116. IEEE, (2015)LCD: Learned Cross-Domain Descriptors for 2D-3D Matching., , , , , and . AAAI, page 11856-11864. AAAI Press, (2020)Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data., , , , and . ICCV, page 1588-1597. IEEE, (2019)JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields., , , , and . CVPR, page 8827-8836. Computer Vision Foundation / IEEE, (2019)RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds., , , , and . ECCV (23), volume 13683 of Lecture Notes in Computer Science, page 36-52. Springer, (2022)