🎓 Education / Experience

• • 03/2017 - 08/2023, Electrical Engineering and Computer Science, GIST, Gwangju, Korea (Ph.D.)

  • 02/2017, Electrical Engineering and Computer Science, GIST, Gwangju, Korea (B.S.)

👨‍💻 Research Interests

• • Computer Vision

  • Autonomous Driving

  • Reinforcement Learning

📔 Publications / Patents

• • International Journal

    • Y. Ko, Y. Jang, G.V. Dinh, H. Jeon and M. Jeon, Spectral-invariant matching network, Information Fusion 

    • Y. Lee, J. Jeon, Y.Ko, M. Jeon and W. Pedrycz. License Plate Detection via Information Maximization, IEEE Transactions on Intelligent Transportation Systems (T-ITS)

    • Y. Ko,  Y. Lee,  S. Azam, F. Munir, M. Jeon and W. Pedrycz. "Key Points Estimation and Point Instance Segmentation Approach for Lane Detection",  IEEE Transactions on Intelligent Transportation Systems (T-ITS)

  • International Conference

    • Z. Khan, Y. Ko, Y. Kim, and M. Jeon, "Social Media Tri-Domain Analysis for detection of potential/ likely malicious users", 5th INFUS CONFERENCE ON INTELLIGENT AND FUZZY SYSTEMS, AUGUST 22-24, 2023, ISTANBUL, TURKEY

    • Yeongmin Ko, Junbom Pyo, Yeonsu Seol and Moongu Jeon , "Reinforcement Learning-Based Odometry Prediction Network Trained Without Ground-Truth",  3rd IFSA Automation, Robotics & Communications for Industry 4.0/5.0 (ARCI’ 2023),  Chamonix, France 22~24 February 2023.

    • Younkwan Lee, Yeongmin Ko, Yechan Kim and Moongu Jeon, "Perception-Friendly Video Enhancement for Autonomous Driving under Adverse Weather Conditions", IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, May 23-27, 2022.

    • Younkwan Lee, Jihyo Jeon, Yeongmin Ko, Byung-Gwan Jeon, Moongu Jeon, "Task-Driven Deep Image Enhancement Network for Autonomous Driving in Bad Weather", IEEE International Conference on Robotics and Automation (ICRA), Xian, China, May 30- June 5, 2021.

    • Younkwan Lee, Juhyun Lee, Yoojin Hong, YeongMin Ko and Moongu Jeon, "Unconstrained Road Marking Recognition with Generative Adversarial Networks", IEEE Intelligent Vehicles Symposium (IV), Paris, France, June 9-12, 2019.

    • Shoaib Azam, Farzeen Munir, Ahmad Muqeem Sheri, Ishfaq Hussain, YeongMin Ko and Moongu Jeon, "Data fusion of Lidar and Thermal Camera for Autonomous driving", Applied Industrial Optics Meeting, Washinton DC, USA, July 8-10, 2019. 

    • Farzeen Munir, Shoaib Azam, Ahmad Muqeem Sheri, YeongMin Ko and Moongu Jeon, "Where Am I: Localization and 3D Maps for Autonomous Vehicles", VEHITS, Crete, Greece, May 2-5, 2019.

    • Shoaib Azam, Farzeen Munir, Aasim Rafique, YeongMin Ko, Ahmad Muqeem Sheri and Moongu Jeon, "Object Modeling from 3D Point Cloud Data for Self-Driving Vehicles", IEEE Intelligent Vehicles Symposium(IV) 2018, June 25-30, China

  • Domestic Conference

    • 김예찬, 박종현, 오중균, 고영민, 전문구. "위성영상에서의 군 표적탐지 고도화를 위한 가상 데이터 생성 연구", Korea Computer Congress 2023, Jeju, 2023.06.17. - 06.20. (Ack: ADD) (최우수논문상)

    • 고영민, 전문구 "강화학습을 이용한 모바일 로봇에서의 딥러닝 기반 오도메트리 추정", 36th ICROS, 여수, 2021.06.23-06.25.

    • 고영민, 윤용상, 전문구. "딥러닝 추론 설명을 위한 입력 데이터 이산화 방법", 한국정보과학회 Korea Computer Congress 2021, 온라인 & 제주, 2021.06.23. - 06.25. 

    • 김예찬, 이윤관, 고영민, 유형준, 전병관, 전문구. "클래스별 규제 엔트로피를 이용한 시각적으로 유사한 객체의 분류", 한국정보과학회 Korea Computer Congress 2021, 온라인 & 제주, 2021.06.23. - 06.25. (우수논문발표상)

    • Muhammad Ishfaq Hussain, Zafran Khan, Hamna Akram, 고영민, 전문구. "동시 지역화 및 매핑의 비교 분석(SLAM) ", 한국소프트웨어종합학술대회 Korea Software Congress 2020

    • 고영민, Khaula Qadeer, 윤용상, 전문구. "키포인트 기반 차선 인식 방법 ", 한국소프트웨어종합학술대회 Korea Software Congress 2020 (우수논문발표상)

    • 전지효, 이윤관, 이주현, 고영민, 전문구. "자기지도적 학습에 의한 단안 영상 깊이 추정", IPIU 2020, 제주, 2020.02.05-07

    • Farzeen Munir, Shoaib Azam, 고영민, 전지효, 전문구. "Motion Prediction and Obstacle Avoidance for Self-driving Car", 한국정보과학회 KSC, 2019

    • 유종민, 이상현, 고영민, 전문구, "얼굴 검증을 위한 Densely connected 된 검증 네트워크 " 한국정보과학회 KSC, 916-918, 2017 

  • Patent

    • Ishfaq Hussain, 고영민, 전문구, "차량용 레이더 정보 융합을 통한 단안 카메라 깊이 추정 성능 고도화 장치 및 방법", 국내 출원 번호: 10-2022-0160456, 출원일자: 2022.11.25.