Xiangxu-0103/FRNet
[TIP 2025] FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
PhD student@NUAA
[TIP 2025] FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
[CVPR'25] LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
OpenMMLab Computer Vision Foundation
[ICCV'25] Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations
[CVPR'23 Highlight] LaserMix for Semi-Supervised LiDAR Semantic Segmentation
OpenMMLab Foundational Library for Training Deep Learning Models
Waymo Open Dataset
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
A unified and open cross-framework evaluation library
The devkit of the nuScenes dataset.
OpenMMLab Detection Toolbox and Benchmark
OpenMMLab's next-generation platform for general 3D object detection.
Web labeling tool for bitmap images and point clouds
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral)
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
A faster implementation of PointNet++ based on PyTorch.