Name: Young-min Song
Type: User
Company: Gwangju Institute of Science and Technology
Bio: Ph.D. candidate @ GIST, working on computer vision and machine learning, especially in Multi-Object Tracking.
Location: Gwangju, South Korea
Young-min Song's Projects
Caffe: a fast open framework for deep learning.
Provides ROS integration for Cartographer.
Convolutional Neural Networks
Python implementation of Evolving Boxes Evolving Boxes for Fast Vehicle Detection
An official repository for "Background subtraction based on Gaussian mixture models using color and depth information".
The GMPHD filter based Online Multiple Object Tracker using Group Management and Relative Motion Analysis
This repository includes a C/C++ Implementation of the GMPHD-OGM tracker with a demo code.
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
An official implementation of the MAF_HDA Tracker
Open Source Computer Vision Library
Semantic Segmentation Architectures Implemented in PyTorch
Young-min Song's Website
Visual Studio 2015 Dark Theme for Notepad++