LCW-Net: Low-light-image-based crop and weed segmentation network using attention module in two decoders. - Yu Hwan Kim; Sung Jae Lee; Chaeyeong Yun; Su Jin Im; Kang Ryoung Park (Eng. Appl. Artif. Intell., 2023)

CNCAN: Contrast and normal channel attention network for super-resolution image reconstruction of crops and weeds. - Sung Jae Lee; Chaeyeong Yun; Su Jin Im; Kang Ryoung Park (Eng. Appl. Artif. Intell., 2024)

Artificial intelligence-based semi-supervised crop and weed semantic segmentation. - Chaeyeong Yun; Yu Hwan Kim; Sung Jae Lee; Su Jin Im; Kang Ryoung Park (Appl. Soft Comput., 2025)

Artificial-Intelligence-Based Low-Light Marine Image Enhancement for Semantic Segmentation in Edge-Intelligence-Empowered Internet of Things Environment. - Su Jin Im; Chaeyeong Yun; Sung Jae Lee; Kang Ryoung Park (IEEE Internet Things J., 2025)