2. Object-Aware Domain Generalization for Object Detection, AAAI 2024, Oral
3. Domain Generalization with Vital Phase Augmentation, AAAI 2024
4. Contextrast: Contextual Contrastive Learning for Semantic Segmentation, CVPR 2025
5. Adversarial Attack for Asynchronous Event-based Data, AAAI 2022
6. Adaptive Coverage Path Planning Policy for a Cleaning Robot with Deep Reinforcement Learning, ICCE 2022
7. Sample-efficient and occlusion-robust reinforcement learning for robotic manipulation via multimodal fusion dualization and representation normalization, Neural Networks 2025
8. LC2: LiDAR-Camera Loop Constraints From Cross-Modal Place Recognition, RA-L 2023
9. X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments, RA-L 2023
10. Image Robustly Recognizing Central-Peripheral Control Based Neural Network, AFCV (Asian Federation of Computer Vision) Best Paper Award, KROC 2021
Research Experience
Ph.D. student advised by Professor Hyun Myung at KAIST.
Education
1. B.S. in Mechanical Engineering, 2019, Korea University, Korea
2. M.S. in Robotics Program, 2021, KAIST, Korea, Advisor: Professor Hyun Myung
Background
Research interests lie in robust localization and object detection. Developed cross-view geo-localization and domain generalization models to improve localization accuracy under domain shifts.