point cloud

Point2Cyl: Reverse Engineering 3D Objects From Point Clouds to Extrusion Cylinders CVPR 2022 Point2Seq: Detecting 3D Objects As Sequences CVPR 2022 Point-BERT: Pre-Training 3D Point Cloud Transformers With Masked Point Modeling CVPR 2022 PointCLIP: Point Cloud Understanding by CLIP CVPR 2022 Point Cloud Color Constancy CVPR 2022 Point Cloud Pre-Training With Natural 3D Structures CVPR 2022 Point Density-Aware Voxels for LiDAR 3D Object Detection CVPR 2022 Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training NeurIPS 2022 Point-NeRF: Point-Based Neural Radiance Fields CVPR 2022 PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies NeurIPS 2022 Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation CVPR 2022 Point Transformer V2: Grouped Vector Attention and Partition-based Pooling NeurIPS 2022 PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds NeurIPS 2022 Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian CVPR 2022 PRNet: Point-Range Fusion Network for Real-Time LiDAR Semantic Segmentation IJCAI 2022 Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection NeurIPS 2022 PTTR: Relational 3D Point Cloud Object Tracking With Transformer CVPR 2022 RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising CVPR 2022 Random Mapping Method for Large-Scale Terrain Modeling AAAI 2022 RBGNet: Ray-Based Grouping for 3D Object Detection CVPR 2022 Reconstructing Surfaces for Sparse Point Clouds With On-Surface Priors CVPR 2022 Representation-Agnostic Shape Fields ICLR 2022 Representation Learning for Object Detection from Unlabeled Point Cloud Sequences CoRL 2022 Revealing Occlusions With 4D Neural Fields CVPR 2022 RIDDLE: Lidar Data Compression With Range Image Deep Delta Encoding CVPR 2022