- Hello, I'm Zeyu 👋, currently working on Autonomous Driving.
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Name: Zeyu Zhong
Type: User
Bio: Interested in Autonomous Driving, LiDAR Perception, Computer Vision.
Name: Zeyu Zhong
Type: User
Bio: Interested in Autonomous Driving, LiDAR Perception, Computer Vision.
My awesome point cloud labeling tool
(ICLR 2022 poster) Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"
PointPWC-Net is a deep coarse-to-fine network designed for 3D scene flow estimation from 3D point clouds.
The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.
TensorFlow implementation of PointRNN, PointGRU and PointLSTM.
a module for 3D semantic segmentation in point clouds.
Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)
Source code for our CVPR 2019 paper - PPGNet: Learning Point-Pair Graph for Line Segment Detection
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
PTPd official source - master branch a.k.a. trunk
Homeworks for public courses.
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning.
Python sample codes for robotics algorithms.
Add built-in support for quaternions to numpy
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral)
A simple recorder using wavein api.
dataset and code for 2016 paper "Learning a Driving Simulator"
Robust Point Cloud Registration Using Iterative Probabilistic Data Associations ("Robust ICP")
**大学MOOC《机器人操作系统入门》课程代码示例
Auto formatting script for ROS C++ Style Guidelines
An ongoing implementation ros node on `fast segmentation of 3d point clouds: a paradigm`...
PointPillars for KITTI object detection
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
Semantic Mapping using Surfel Mapping and Semantic Segmentation (Chen et al IROS 2019)
Resources of semantic segmantation based on Deep Learning model
A Simple and Versatile Framework for Object Detection and Instance Recognition
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
Based on the improved Gaussian mixture model and the flute-based vehicle identification method which incorporates MFCC features and RASTA-PLP features.
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.