The dataset used in the paper is a collection of unpaired shapes, including chairs and tables, and letters in different font styles.

The dataset used in the paper is a collection of unpaired shapes, including chairs and tables, and letters in different font styles.

A large-scale point cloud classification benchmark, focusing on semantic segmentation of urban scenes.

RadHAR dataset

Pantomime dataset

Upper Body Point Cloud Gestures (UBPG) RGB-D gesture point cloud dataset

Gesture recognition interface for point clouds generated by mmWave Radars

Shapenet is a large-scale synthesis 3D object dataset, where we follow [9] to use the official test splits of chair, car, and motorbike categories for evaluation since they...

The VoxelNet dataset is a large-scale dataset for 3D object detection, consisting of 3D point clouds and corresponding annotations.

The dataset used in the paper is ShapeNetPart, a synthetic dataset for 3D object part segmentation. It contains 16,881 models from 16 categories.

Point cloud registration is a crucial problem in computer vision and robotics. Existing methods either rely on matching local geometric features, which are sensitive to the pose...