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3d point cloud

195 papers

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Also known as

3D PC

Co-occurring keywords · papers mentioning both

point cloud (78) semantic segmentation (45) 3d vision (36) scene understanding (14) unsupervised learning (14) self-supervised learning (13) point cloud processing (11) point cloud segmentation (11) neural network (11) multimodal learning (11)

Papers

DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification WACV 2024 DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement CVPR 2024 Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds CVPR 2024 Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space ICLR 2024 From Chaos to Calibration: A Geometric Mutual Information Approach To Target-Free Camera LiDAR Extrinsic Calibration WACV 2024 Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding CVPR 2024 GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding CVPR 2024 HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud CVPR 2024 Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds CVPR 2024 Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective NeurIPS 2024 Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds AAAI 2024 L4D-Track: Language-to-4D Modeling Towards 6-DoF Tracking and Shape Reconstruction in 3D Point Cloud Stream CVPR 2024 Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans CVPR 2024 Mean-field Chaos Diffusion Models ICML 2024 MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding AAAI 2024 Nonparametric Regression for 3D Point Cloud Learning JMLR 2024 Open-Vocabulary 3D Semantic Segmentation with Foundation Models CVPR 2024 PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection NeurIPS 2024 Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis NeurIPS 2024 Pose-Transformed Equivariant Network for 3D Point Trajectory Prediction CVPR 2024 Robust 3D Tracking with Quality-Aware Shape Completion AAAI 2024 Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation CVPR 2024 Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training CVPR 2024 USCILab3D: A Large-scale, Long-term, Semantically Annotated Outdoor Dataset NeurIPS 2024 A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification ICML 2023