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• [IJ-005] Yechan Kim, DongHo Yoon, SooYeon Kim, and Moongu Jeon, NSegment: Label-specific Deformations for Remote Sensing Image Segmentation, IEEE Geoscience and Remote Sensing Letters (GRSL), Vol. 22, Aug. 2025 [PDF] [GitHub]

• [IJ-004] Unse Fatima, Zafran Khan, Yechan Kim, Joonmo Kim, Witold Pedrycz, and Moongu Jeon, Resource Efficient Framework for Remote Sensing Visual Recognition, IEEE Sensors Journal, Early Access, July 2025 [PDF]

• [IJ-003] Yechan Kim, SooYeon Kim, and Moongu Jeon, NBBOX: Noisy Bounding Box Improves Remote Sensing Object Detection, IEEE Geoscience and Remote Sensing Letters (GRSL), Vol. 22, Jan. 2025 [PDF] [GitHub]

• [IJ-002] Younkwan Lee, Yechan Kim, Jongmin Yu, and Moongu Jeon, Learning to Remove Bad Weather: Towards Robust Visual Perception for Self-Driving, IEEE Robotics and Automation Letters (R-AL) with ICRA 2022, Early Access, Feb. 2022 [PDF]

• [IC-001] 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), 2022 [PDF]

• [IJ-001] Yechan Kim, Younkwan Lee, and Moongu Jeon, Imbalanced Image Classification with Complement Cross Entropy, Pattern Recognition Letters (PRL), Vol. 151, Nov. 2021 [PDF] [GitHub]