图像images/点云point clouds标注工具汇总

Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

利用Segment Anything(SAM)模型进行快速标注

Lecture notes, projects and other materials for Course 'CS205 C/C++ Program Design' at Southern University of Science and Technology.

Mask4Former: Mask Transformer for 4D Panoptic Segmentation

This is the pytorch implementation of 3DAL proposed by Qi et. al, "Offboard 3D Object Detection from Point Cloud Sequences", CVPR 2021.

Scribble-Supervised LiDAR Semantic Segmentation, CVPR 2022 (ORAL)

EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection

Real-Aug: Realistic Scene Synthesis for LiDAR Augmentation in 3D Object Detection

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Sparse4D v1 & v2

[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

Latex 模板合集，旨在帮助大家输出更加漂亮、干净、专业的文稿

My curriculum vitae (CV) written using LaTeX.

The official code release of LidarMTL, a simple and efficient multi-task network for 3D object detection and road understanding

Implementation of "Recurrent Vision Transformers for Object Detection with Event Cameras". CVPR 2023

Solutions to high-frequency interview questions of LeetCode in C++17, taking into account both efficiency and comprehensibility.

My best practice of training large dataset using PyTorch.

An open-source framework for training large multimodal models.

Multimodal-GPT

Grounded Language-Image Pre-training

Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).