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.

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.

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