About Me
I am Mincheol Chang. I received my master degree at Department of Computer Science at Korea University under supervision of Professor Jinkyu Kim.
My primary interest lies in developing real-world applications using computer vision and deep learning.
My research interests are 3D Object Detection in Autonomous Driving, 3D reconstruction, Domain Generalization, Data Augmentation and Anomaly Detection.
Education
- Korea University, Seoul, Korea
- MS in Artificial Intelligence
- Sep. 2022 - Aug. 2024
- Hong Kong University of Science and Technology
- BS in Electronics and Computer Engineering
- Sep. 2016 - Jun. 2022
Work Experience
- Visioin AI Lab, Seoul, Korea
- Full-time Graduate (Advisor: Prof. Jinkyu Kim)
- Sep. 2022 - Aug. 2024
- Researched on DL-based 3D Object Detection in Autonomous Driving, Anomaly Detection
- NAVER LABS, Seongnam, Korea
- Research Intern (Advisor: Siyeong Lee, Namil Kim)
- Mar. 2023 - Sep. 2023
- Researched on developing low-cost Pseudo LiDAR generation pipeline of long-tail classes using NeRFs
- Medical AI and Computer Vision Group, Hong Kong
- Research Intern (Advisor: Prof. Xiaomeng Li)
- Apr. 2021 - May. 2022
- Researched on Fourier Augmentation to develop domain generalizable segmentation model in Fundus data.
- Upenn Solution, Seoul, Korea
- Crawler Developer Intern
- Jun. 2021 - Aug. 2021
- Developed web-scraping module for crawling data from NAVER News/Blog, Coupang, etc.
Publications
Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem
Mincheol Chang*, Siyeong Lee*, Jinkyu Kim, Namil Kim
Neural Information Processing Systems (NeurIPS), 2024.
[Paper]
Finetuning Pre-trained Model with Limited Data for 3D Object Detection by Bridging Domain Gaps
Jiyun Jang, Mincheol Chang, Jinkyu Kim
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.
[Paper]
BEVMap - Map-Aware BEV Modeling for 3D Perception
Mincheol Chang, Seokha Moon, Reza Mahjourian, Jinkyu Kim
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
[Paper][Code][Video]
Projects
- Domain Generalizable Anomaly Detection 모델 개발
- SK-Telecom 산학 프로젝트
- Sep. 2022 - Feb. 2023
- Domain Generalizable LiDAR 객체인식 Finetuning Method 개발
- 현대자동차 산학 프로젝트
- Sep. 2023 - Jun. 2024
- Mask 불량 검출 이상점 검출 기술 개발
- 삼성전자 반도체 연구소 산학 프로젝트
- Feb. 2024 - Jul. 2024
Awards
- 미래형자동차 핵심기술 R&D 산학프로젝트 성과 발표회 우수상
- 지도 정보를 융합한 멀티뷰 카메라 객체인식 모델 개발
- Jan. 2024
Skills
- Python
- Pytorch/Tensorflow
- C++
- Linux and Shell
- Git and Docker