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Name: JLQ
Type: User
Name: JLQ
Type: User
蓝灯Windows下载 https://raw.githubusercontent.com/getlantern/lantern-binaries/master/lantern-installer.exe 蓝灯安卓下载 https://raw.githubusercontent.com/getlantern/lantern-binaries/master/lantern-installer.apk
Auto-encoding & Generating 3D Point-Clouds.
(CVPR 2022) A minimalistic stack for joint perception, prediction, planning and control for end-to-end self driving.
LDLS (Label Diffusion LiDAR Segmentation) algorithm for instance segmentation of LiDAR point clouds.
Learn how to use CARLA with basic APIs
Learning to Learn in TensorFlow
A learned sampling approach for point clouds (CVPR 2019)
An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
Toolkit to convert a clean LiDAR-camera dataset into a robustness benchmark
An implementation for LiDAR datasets visualization in python.
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection
End-To-End Optimization of LiDAR Beam Configuration
LiDAR fog simulation
A list of references on lidar point cloud processing for autonomous driving
Code for "Deep Generative Models for LiDAR Data"
3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm
Domain adaptation for LIDAR resource list
Project page for "Stress-Testing Point Cloud Registration on Automotive LiDAR" by Amnon Drory, Shai Avidan and Raja Giryes
A generic repository for LiDAR 3D semantic segmentation in autonomous driving scenarios. Also the official implementation of our ECCV 2022 paper: Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving (SDSeg3D).
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)
Code for LIGA-Stereo Detector, ICCV'21
A comprehensive collection of recent papers on graph deep learning
[ECCV 2022] Lidar Point Cloud Guided Monocular 3D Object Detection.
Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
M3DSSD: Monocular 3D Single Stage Object Detector
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.