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RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds.

, , , , , , , and . CVPR, page 11105-11114. Computer Vision Foundation / IEEE, (2020)

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Continuous Mapping Convolution for Large-Scale Point Clouds Semantic Segmentation., , , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)V2P-SSD: Single-Stage 3-D Object Detection With Voxel-to-Point Transformation., , , , and . IEEE Geosci. Remote. Sens. Lett., (2023)Robust and Real-Time Object Tracking Using Scale-Adaptive Correlation Filters., , , , and . DICTA, page 1-8. IEEE, (2016)SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds., , , , , and . Int. J. Comput. Vis., 130 (2): 316-343 (2022)SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration., , , , and . CoRR, (2020)Cgan-Net: Class-Guided Asymmetric Non-Local Network for Real-Time Semantic Segmentation., , , , and . ICASSP, page 2325-2329. IEEE, (2021)CSI-StripeFormer: Exploiting Stripe Features for CSI Compression in Massive MIMO System., , , , , and . INFOCOM, page 1-10. IEEE, (2023)Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges., , , , , and . CVPR, page 4977-4987. Computer Vision Foundation / IEEE, (2021)No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces., , , , , and . CVPR, page 8500-8510. IEEE, (2022)DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction., , , , , , and . ECCV (39), volume 13699 of Lecture Notes in Computer Science, page 125-142. Springer, (2022)