Name: Zhen Tan
Type: User
Company: NUDT
Bio: Hi, I'm Zhen Tan ~~
Bachelor: Wuhan University,
Master: TUM,
PhD candidate: NUDT,
目前感兴趣的方向: NeRF, Sensor Data Fusion, SLAM, Point Cloud Processing
Location: Hunan, China
Blog: [email protected]
Zhen Tan's Projects
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
An open autonomous driving platform
A summary and list of open source 3D multi object tracking and datasets at this stage.
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
A list of papers and datasets about point cloud analysis (processing)
对C++标准库以及泛型的练习和理解,基于侯捷老师的教学视频以及书籍
计算机类常用电子书整理,并且附带下载链接,包括Java,Python,Linux,Go,C,C++,数据结构与算法,人工智能,计算机基础,面试,设计模式,数据库,前端等书籍
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
一些CV方面的教材
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
数据科学的笔记以及资料搜集
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Dense Prediction Transformers
Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]
A collection of GICP-based fast point cloud registration algorithms
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
点云库学习
SLAM 开发学习资源与经验分享
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
LeetCode 101:和你一起你轻松刷题(C++)
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
《统计学习方法》的代码实现
Basic Machine Learning and Deep Learning
MagicTZ的个人主页