conftrace_
← Processing
Computer Vision › Processing ›

Point Cloud Processing

303 papers

Papers per year

2
31
28
'15
'20
'25

Papers

Geodesic Self-Attention for 3D Point Clouds NIPS 2022
One-Inlier is First: Towards Efficient Position Encoding for Point Cloud Registration NIPS 2022
SNAKE: Shape-aware Neural 3D Keypoint Field NIPS 2022
MultiScan: Scalable RGBD scanning for 3D environments with articulated objects NIPS 2022
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds NIPS 2022
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training NIPS 2022
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching NIPS 2022
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds NIPS 2022
Learning Superpoint Graph Cut for 3D Instance Segmentation NIPS 2022
DeTarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration AAAI 2022
DuMLP-Pin: A Dual-MLP-Dot-Product Permutation-Invariant Network for Set Feature Extraction AAAI 2022
OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression AAAI 2022
Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer AAAI 2022
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations AAAI 2022
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration AAAI 2022
P^3-Net: Part Mobility Parsing from Point Cloud Sequences via Learning Explicit Point Correspondence AAAI 2022
Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective AAAI 2022
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation AAAI 2022
FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration AAAI 2022
Random Mapping Method for Large-Scale Terrain Modeling AAAI 2022
MBGRLp: Multiscale Bootstrap Graph Representation Learning on Pointcloud (Student Abstract) AAAI 2022
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding CVPR 2022
Density-Preserving Deep Point Cloud Compression CVPR 2022
POCO: Point Convolution for Surface Reconstruction CVPR 2022
Not All Points Are Equal: Learning Highly Efficient Point-Based Detectors for 3D LiDAR Point Clouds CVPR 2022