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point cloud analysis

29 papers

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Co-occurring keywords

point cloud (1480) 3d vision (1098) object classification (79) rotation invariance (52) neural network (6616) semantic segmentation (3186) geometric learning (40) geometric feature (63) graph neural network (3962) transfer learning (5449)

Papers

CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis AAAI 2026
GFT: Graph Feature Tuning for Efficient Point Cloud Analysis WACV 2026
Efficient Spiking Point Mamba for Point Cloud Analysis ICCV 2025
Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis AAAI 2024
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis CVPR 2024
PointMamba: A Simple State Space Model for Point Cloud Analysis NIPS 2024
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 NIPS 2024
Starting From Non-Parametric Networks for 3D Point Cloud Analysis CVPR 2023
PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration AAAI 2023
Meta Architecture for Point Cloud Analysis CVPR 2023
PointVector: A Vector Representation in Point Cloud Analysis CVPR 2023
GAM: Gradient Attention Module of Optimization for Point Clouds Analysis AAAI 2023
3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding EMNLP 2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis CVPR 2023
Why Discard if You Can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis CVPR 2022
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting NIPS 2022
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing CVPR 2022
Medial Spectral Coordinates for 3D Shape Analysis CVPR 2022
A Closer Look at Rotation-Invariant Deep Point Cloud Analysis ICCV 2021
Equivariant Point Network for 3D Point Cloud Analysis CVPR 2021
Dense-Resolution Network for Point Cloud Classification and Segmentation WACV 2021
A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks. CVPR 2021
Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution AAAI 2020
Shape-Oriented Convolution Neural Network for Point Cloud Analysis AAAI 2020