Point Cloud Models You Only Hypothesize Once public – 2 min read The YOHO framework for point cloud registration If you work with 3D data, you know how important it is to… Apr 23, 2023 Devin Schumacher
Point Cloud Models Panoptic-PolarNet public – 2 min read Panoptic-PolarNet: A Framework for Point Cloud Segmentation with LiDAR Panoptic-PolarNet is a framework developed for point cloud segmentation using LiDAR… Apr 23, 2023 Devin Schumacher
Point Cloud Models PointQuad-Transformer public – 2 min read Overview of PQ-Transformer PQ-Transformer, also known as PointQuad-Transformer, is an architecture used to predict 3D objects and layouts from point… Apr 23, 2023 Devin Schumacher
Point Cloud Models PREDATOR public – 2 min read Overview of PREDATOR PREDATOR is a cutting-edge model for pairwise point-cloud registration with deep attention to the overlap region. Point-cloud… Apr 23, 2023 Devin Schumacher
Point Cloud Models PointASNL public – 2 min read PointASNL: A Revolutionary Neural Network for Point Cloud Processing In recent years, the field of computer vision has seen exciting… Apr 23, 2023 Devin Schumacher
3D Object Detection Models Point Cloud Models Voxel R-CNN public – 2 min read Overview of Voxel R-CNN Voxel R-CNN is an advanced technique used for 3D object detection. It is a two-stage process… Apr 23, 2023 Devin Schumacher
3D Object Detection Models Graph Models Point Cloud Models Point-GNN public – 1 min read What is Point-GNN? Point-GNN, or Point-based Graph Neural Network, is a technology that can detect objects in a LiDAR point… Apr 23, 2023 Devin Schumacher
Point Cloud Models RPM-Net public – 2 min read Understanding RPM-Net: A Robust Point Matching Technique If you are familiar with computer science, you might have heard of the… Apr 23, 2023 Devin Schumacher