A complete computer science study plan to become a software engineer.

Reference PyTorch implementation and models for DINOv3

Code for "Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection", ECCV 2022

机器学习算法（K-mean、DPC、FCM）

[IEEE T-RO 2025] iKalibr: Multi-Sensor Calibration (Extrinsics & Time Offsets)

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

[ICCV2023] "Vision HGNN: An Image is More than a Graph of Nodes" by Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, and Zhangyang Wang

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

[CVPR2023] This is an official implementation of paper "DETRs with Hybrid Matching".

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

Curb Detection Framework Based on LiDAR Point Cloud Segmentation

Drivers for receiving LiDAR data and more, support Lidar Mid-40, Mid-70, Tele-15, Horizon, Avia.

Hardware-synchronized device for FAST-LIVO (Handheld & UAV).

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Code release for ConvNeXt V2 model

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022

[CVPR 2022] SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation

Implementation of my article "A Robust Statistics Approach for Plane Detection in Unorganized Point Clouds"

Persistence Analysis of Multi-scale Planar Structure Graph in Point Clouds

scan to bim pipieline

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

My awesome point cloud labeling tool

TartanCalib: Iterative Wide-Angle Lens Calibration using Adaptive SubPixel Refinement of AprilTags

Release for Improved Denoising Diffusion Probabilistic Models

An unofficial implementation for Detecting Camouflaged Object in Frequency Domain, CVPR 2022 in PyTorch.