Min Young Chang

M.S. Computer Science, Columbia University '21
B.S. Mechanical Engineering, Cornell University '19
InterDigital
Clova AI
NAVER LABS
ROK Army Special Forces

[Resume] [Scholar] [LinkedIn] [YouTube]

I am a Graduate Student at Columbia University with a privilege to be advised by Professor Shuran Song. My fields of interest are robotic perception and 3D computer vision. I have done various related projects using LiDAR sensors and stereo cameras. I also served in the Republic of Korea Army for two years, during which I was deployed to Arab Emirates for eight months as a part of the Army Special Forces.

Publication

SpoxelNet: Spherical Voxel-based Deep Place Recognition for 3D PointClouds of a Crowded Indoor Space
Min Young Chang, Suyong Yeon, Soohyun Ryu, and Donghwan Lee
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020. Las Vegas, USA.
[presentation_video] [paper] [slides]

Past Works

Point Cloud Clustering through Unsupervised Learning
at InterDigital
In Progress

3D Guided Grasp for Visually Impaired People
at Columbia AI & Robotics Lab
[video1] [video2]
Help blind people locate and grasp various objects that they want using LiDAR and deep learning models on iPhone.
#ar #python #3d #swift #coreML #ARKit

Point Cloud based Localization in Large-Scale Indoor Spaces
at NAVER LABS
[website] [youtube]
Place recognition & loop closure detection algorithm for an indoor mapping robot with VLP-16 LiDAR sensors
#perception #slam #python #tensorflow #3d

3D SLAM - LIDAR
at Cornell Autonomous Systems Lab
[write up] [pptx] [youtube]
Real-time three-dimensional simultaneous localization and mapping with a LIDAR, and JACKAL.
#slam #ros #c++ #3d

3D SLAM - ZED Stereo Camera
at Cornell Autonomous Systems Lab
[write up] [pptx] [youtube]
Real-time three-dimensional simultaneous localization and mapping with a ZED stereo camera and JACKAL.
#slam #ros #c++ #3d

Reinforcement Learning for Driving a Miniature Car
at Cornell Autonomous Systems Lab
[write up] [pptx] [docx] [github] [youtube]
Using TensorFlow to simulate a reinforcement learning process of a self-driving car.
#control #deep_learning #python #tensorflow #reinforcement_learning

Real-time Object Detection with Depth Measurement
at Cornell Autonomous Systems Lab
[write up] [report] [youtube]
Using YOLO in tensorflow, ZED camera to track and follow an object.
#computer_vision #machine_learning #ros #python #tensorflow

Experience

Graduate Student Intern at Clova AI
May 2020 - Aug 2020
Seongnam, Korea
Implemented a deep learning-based lane detection algorithm. Achieved 93.5% recall rate and 97.8% precision rate for road images with high traffic. Managed a data annotation team for labeling a large complicated Korean road data set.

Graduate Student Intern at NAVER LABS
Sep 2019 - Apr 2020
Seongnam, Korea
The first author of "SpoxelNet: Spherical Voxel-based Deep Place Recognition for 3D Point Clouds of Crowded Indoor Spaces" (IEEE/RSJ IROS 2020). Preprocessed large, messy 3D point cloud data of VLP-16 LiDAR sensors. Developed an algorithm that rapidly removes moving objects in 3D point clouds

ROK Army Special Forces in Arab Emirates
Mar 2017 - Nov 2017
AKH Unit, Zayed Military City, UAE
[missions] [photos]
Combined special warfare exercises with UAE Special Forces, Combined counter-terrorism exercises with UAE Underwater Demolition Team(UDT), and external relations with UAE Ministry of Defense and Special Operations Command.

Contacts

Email: mc4962[at]columbia[dot]edu
New York, NY