- Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection From Point Clouds
- 3DJCG: A Unified Framework for Joint Dense Captioning and Visual Grounding on 3D Point Clouds
- Multi-Instance Point Cloud Registration by Efficient Correspondence Clustering
- Contrastive Boundary Learning for Point Cloud Segmentation
- Lepard: Learning Partial Point Cloud Matching in Rigid and Deformable Scenes
- CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding
- Density-Preserving Deep Point Cloud Compression
- Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks With Implicit Gradients
- Neural Points: Point Cloud Representation With Neural Fields for Arbitrary Upsampling
- Not All Points Are Equal: Learning Highly Efficient Point-Based Detectors for 3D LiDAR Point Clouds
- Equivariant Point Cloud Analysis via Learning Orientations for Message Passing
- Point Cloud Pre-Training With Natural 3D Structures
- A Unified Query-Based Paradigm for Point Cloud Understanding
- REGTR: End-to-End Point Cloud Correspondences With Transformers
- 3DeformRS: Certifying Spatial Deformations on Point Clouds
- IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment
- AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception
- Surface Reconstruction From Point Clouds by Learning Predictive Context Priors
- Point2Cyl: Reverse Engineering 3D Objects From Point Clouds to Extrusion Cylinders
- RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior
- Deterministic Point Cloud Registration via Novel Transformation Decomposition
- Surface Representation for Point Clouds
- 3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection
- An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation
- Why Discard if You Can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis
- ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation
- Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation
- Finding Good Configurations of Planar Primitives in Unorganized Point Clouds
- No-Reference Point Cloud Quality Assessment via Domain Adaptation
- Learning Local Displacements for Point Cloud Completion
- Point-BERT: Pre-Training 3D Point Cloud Transformers With Masked Point Modeling
- Point Cloud Color Constancy
- Multimodal Colored Point Cloud to Image Alignment
- Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation
- Shape-Invariant 3D Adversarial Point Clouds
- Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds
- LiDARCap: Long-Range Marker-Less 3D Human Motion Capture With LiDAR Point Clouds
- Domain Adaptation on Point Clouds via Geometry-Aware Implicits
- SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration
- WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation
- Weakly Supervised Segmentation on Outdoor 4D Point Clouds With Temporal Matching and Spatial Graph Propagation
- LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints
- No Pain, Big Gain: Classify Dynamic Point Cloud Sequences With Static Models by Fitting Feature-Level Space-Time Surfaces
- PTTR: Relational 3D Point Cloud Object Tracking With Transformer
- ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds
- SS3D: Sparsely-Supervised 3D Object Detection From Point Cloud
- 3DAC: Learning Attribute Compression for Point Clouds
- Learning a Structured Latent Space for Unsupervised Point Cloud Completion
- RCP: Recurrent Closest Point for Point Cloud
- Upright-Net: Learning Upright Orientation for 3D Point Cloud
- Reconstructing Surfaces for Sparse Point Clouds With On-Surface Priors
- HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization
- Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels
- PointCLIP: Point Cloud Understanding by CLIP
- Geometric Transformer for Fast and Robust Point Cloud Registration
- Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds
- Boosting 3D Object Detection by Simulating Multimodality on Point Clouds
- SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
- DiGS: Divergence Guided Shape Implicit Neural Representation for Unoriented Point Clouds
- SoftGroup for 3D Instance Segmentation on Point Clouds
- Bridged Transformer for Vision and Point Cloud 3D Object Detection
- Stratified Transformer for 3D Point Cloud Segmentation