Self-supervised Attribute-Aware Refinement Network for Low-Quality Text Recognition. - Younkwan Lee; Heongjun Yoo; Yechan Kim; Jihun Jeong; Moongu Jeon (ECCV Workshops (5), 2020)

Imbalanced image classification with complement cross entropy. - Yechan Kim; Younkwan Lee; Moongu Jeon (Pattern Recognit. Lett., 2021)

TSPipe: Learn from Teacher Faster with Pipelines. - Hwijoon Lim; Yechan Kim; Sukmin Yun; Jinwoo Shin; Dongsu Han (ICML, 2022)

Perception-Friendly Video Enhancement for Autonomous Driving under Adverse Weather Conditions. - Younkwan Lee; YeongMin Ko; Yechan Kim; Moongu Jeon (ICRA, 2022)

Scaling Beyond the GPU Memory Limit for Large Mixture-of-Experts Model Training. - Yechan Kim; Hwijoon Lim; Dongsu Han (ICML, 2024)

Rethinking Feature Backbone Fine-tuning for Remote Sensing Object Detection. - Yechan Kim; JongHyun Park; SooYeon Kim; Moongu Jeon (CoRR, 2024)

NBBOX: Noisy Bounding Box Improves Remote Sensing Object Detection. - Yechan Kim; SooYeon Kim; Moongu Jeon (IEEE Geosci. Remote. Sens. Lett., 2025)

NSegment: Label-Specific Deformations for Remote Sensing Image Segmentation. - Yechan Kim; DongHo Yoon; SooYeon Kim; Moongu Jeon (IEEE Geosci. Remote. Sens. Lett., 2025)

Pallet Detection And Localisation From Synthetic Data. - Henri Mueller; Yechan Kim; Trevor Gee; Mahla Nejati (CoRR, 2025)

NSegment : Noisy Segment Improves Remote Sensing Image Segmentation. - Yechan Kim; DongHo Yoon; SooYeon Kim; Moongu Jeon (CoRR, 2025)

Unlocking Robust Semantic Segmentation Performance via Label-only Elastic Deformations against Implicit Label Noise. - Yechan Kim; Dongho Yoon; Younkwan Lee; Unse Fatima; Hong Kook Kim; Songjae Lee; Sanga Park; Jeong Ho Park; Seonjong Kang; Moongu Jeon (CoRR, 2025)