- Scalable Evolutionary Reinforcement Learning with Asynchronous Critic Update and Distributed Local Replay, Under review, 2025
- Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive Learning, IEEE International Conference on Robotics and Automation (ICRA) 2025, Oral Presentation
- Learning to Control Camera Exposure via Reinforcement Learning, Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR) 2024
- Complementary Random Masking for RGB-T Semantic Segmentation, IEEE International Conference on Robotics and Automation (ICRA) 2024, Oral Presentation
- Self-supervised Monocular Depth Estimation from Thermal Images via Adversarial Multi-spectral Adaptation, IEEE Winter Conference on Applications of Computer Vision (WACV) 2023, Best Student Paper Award
- Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion, IEEE Robotics and Automation Letters (RA-L) 2022, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022, Oral Presentation
- DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022, Oral Presentation
Research Experience
- Gachon University, Gyeonggi-do, Mar 2025 - Present, Assistant Professor, Computer Science Dept
- LG AI Research, Seoul, Aug 2023 - Feb 2025, AI Scientist, Data Intelligence Lab
- The Robotics Institute, Carnegie Mellon University, Pittsburgh PA, USA, Jun 2019 - Aug 2019, Visiting Researcher, Advisors: Jean Oh, Martial Hebert
- UVify, Inc., Seoul, Mar 2015 - Jul 2018, CPO, Electronics and software engineering in OORI and DRACO
Education
- Ph.D., 2023, Korea Advanced Institute of Science and Technology (KAIST), Robotics Program, Advisor: In So Kweon
- MS, 2015, Seoul National University (SNU), Aerospace Engineering, Advisor: Youdan Kim
- BS, 2012, Pohang University of Science and Technology (POSTECH), Mechanical Engineering, GPA: 3.81/4.3
Background
Research Interests: Machine Learning, Reinforcement Learning, and Robotics. Brief Introduction: An assistant professor in the Computer Science department since 2025, previously worked as an AI Scientist at LG AI Research.