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Ph.D. Yeongmin Ko(고영민)
Education & Experience
2024.09 ~: Assistant Professor, Kyungpook National University
2023-2024: Postdoc, Gwangju Institute of Science and Technology(GIST)
2017-2023: Ph.D., Gwangju Institute of Science and Technology(GIST)
Thesis: Efficient Training for Perception Modules in Autonomous Driving
2013-2017: B.S. Gwangju Institute of Science and Technology(GIST)
Thesis: Combined Convolution Neural Network with Localizing Object and Classifier
Research Field
AI, Deep Learning, Robotics, Computer Vision, Simulation, Sim-to-Real
Publication [Google Scholar]
김예찬, 박종현, 김수연, 김시현, 김성헌, 고영민, 오중균, 윤동호 and 전문구. (2025). 위성영상에서의 군 표적탐지를 위한 Arma 3 기반의 가상 데이터 생성 연구. 정보과학회논문지, 52(1), 9-17.
MI. Hussain, MA, Rafique, Y. Ko , Z. Khan, O. Farrukh, Z. Naz, J. Kim, and M. Jeon, "An Encoder-Sequencer-Decoder Network for Lane Detection to Facilitate Autonomous Driving", ICCAS 2023 (2023 23rd International Conference on Control, Automation and Systems), Yeosu, Korea, 2023
Fatima, U., Pyo, J., Ko, Y., and Jeon, M., "MEConvNN-Designing Memory Efficient Convolution Neural Network for Visual Recognition of Aerial Emergency Situations", Intelligent and Fuzzy Systems. INFUS 2023. Lecture Notes in Networks and Systems, vol 759. Springe, 2023
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), 2023
Y. Ko, Y. Jang, G. , V. Dinh, H. Jeon and M. Jeon, "Spectral-invariant matching network", Information Fusion, 2022
Younkwan Lee, Jihyo Jeon, Yeongmin Ko, Moongu Jeon, and Witold Pedrycz, "License Plate Detection via Information Maximization", IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2022
Jang, H., Ko, Y., Lee, Y., and Jeon, M., "Light Robust Monocular Depth Estimation For Outdoor Environment Via Monochrome And Color Camera Fusion", ArXiv, abs/2202.12108, 2022
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
Yeongmin Ko, Younkwan Lee, Shoaib Azam, Farzeen Munir, Moongu Jeon, and Witold Pedrycz, "Key Points Estimation and Point Instance Segmentation Approach for Lane Detection", IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2021
Yeongmin Ko, and Moongu Jeon, "Deep Learning-Based Mobile Robot Odometry Prediction Using Reinforment Learning", 36th ICROS, Yeosu, South Korea, 2021.06.23 - 06.25
Yeongmin Ko, Yongsang Yoo, and Moongu Jeon, "Input Data Discretization Method to Explain Deep Learning Inference", Korea Computer Congress 2021, Jeju, South Korea, 2021.06.23. - 06.25
Yechan Kim, Younkwan Lee, Yeongmin Ko, Hyeongjun Yoo, Jeon Byung Gwan, and Moongu Jeon, "Disambiguating Visually Similar Objects with Classwise Regulated Entropy", Korea Computer Congress 2021, Jeju, South Korea, 2021.06.23. - 06.25
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
MI. Hussain, Zafran Khan, Hamna Akram, Yeongmin Ko, and Moongu Jeon, "Comparative Analysis of Simultaneous Localization and Mapping(SLAM) ", Korea Software Congress 2020
Yeongmin Ko, Khaula Qadeer, Yongsang Yoo, and Moongu Jeon, "Key Points Detection-Based Traffic Line Detection", Korea Software Congress 2020
Jihyo Jeon, Younkwan Lee, Juhyun Lee, Yeongmin Ko, and Moongu Jeon, "Self-supervised Learning Method for Monocular Depth Estimation", Workshop on Image Processing and Image Understanding (IPIU) 2020, Jeju, South Korea, 2020.02.05
Younkwan Lee, Juhyun Lee, Yoojin Hong, Yeongmin Ko, 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, 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, Moongu Jeon, "Where Am I: Localization and 3D Maps for Autonomous Vehicles", 6th International Conference on Vehicle Technology and Intelligent Transportation Systems (VEHITS), Crete, Greece, May 2-5, 2019.
Farzeen Munir, Shoaib Azam, Yeongmin Ko, Jihyo Jeon, and Moongu Jeon. "Motion Prediction and Obstacle Avoidance for Self-driving Car", Korea Software Congress, 2019
Chi-Ok Hwang, Yeongmin Ko, Mingyo Kim, Jiseop Lim, Comment on “Comment on “Radial Dependence of Induced Current Density and Small Pixel Effect in Parallel-Plate Detectors””, IEEE Transactions on Nuclear Science, 2019
Shoaib Azam, Farzeen Munir, Aasim Rafique, Yeongmin Ko, Ahmad Muqeem Sheri, Moongu Jeon, "Object Modeling from 3D Point Cloud Data for Self-Driving Vehicles", IEEE Intelligent Vehicles Symposium (IV) 2018, June 25-30, China
Jongmin Yu, Sang-Hyun Lee, Yeongmin Ko, and Moongu Jeon, "Densely Connected Verification Network for Face verification", Korea Software Congress, 916-918, 2017
Robotics AI Generalization(RAG) Lab
Other links: [KNU], [Department], [Admissions Office]
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