point cloud analysis

4D Local Modeling Toward Dynamic Global Perception for Ambiguity-free Rotation-Invariant Point Cloud Analysis CVPR 2026 Adapting Point Cloud Analysis via Multimodal Bayesian Distribution Learning CVPR 2026 CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis AAAI 2026 GFT: Graph Feature Tuning for Efficient Point Cloud Analysis WACV 2026 Learning Coordinate-based Convolutional Kernels for Continuous SE(3) Equivariant and Efficient Point Cloud Analysis CVPR 2026 Efficient Spiking Point Mamba for Point Cloud Analysis ICCV 2025 Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis CVPR 2024 LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling NeurIPS 2024 Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis AAAI 2024 PointMamba: A Simple State Space Model for Point Cloud Analysis NeurIPS 2024 TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis CVPR 2024 3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding EMNLP 2023 Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis CVPR 2023 GAM: Gradient Attention Module of Optimization for Point Clouds Analysis AAAI 2023 Meta Architecture for Point Cloud Analysis CVPR 2023 PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration AAAI 2023 PointVector: A Vector Representation in Point Cloud Analysis CVPR 2023 Starting From Non-Parametric Networks for 3D Point Cloud Analysis CVPR 2023 Equivariant Point Cloud Analysis via Learning Orientations for Message Passing CVPR 2022 Medial Spectral Coordinates for 3D Shape Analysis CVPR 2022 P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting NeurIPS 2022 Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework ICLR 2022 Why Discard if You Can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis CVPR 2022 A Closer Look at Rotation-Invariant Deep Point Cloud Analysis ICCV 2021 A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks. CVPR 2021