Multi-View Collaborative Learning for Semi-Supervised Domain Adaptation. - Ba Hung Ngo; Ju Hyun Kim; Yeon Jeong Chae; Sung In Cho (IEEE Access, 2021)

Improved Knowledge Transfer for Semi-supervised Domain Adaptation via Trico Training Strategy. - Ba Hung Ngo; Yeon Jeong Chae; Jung Eun Kwon; Jae Hyeon Park; Sung In Cho (ICCV, 2023)

Multiple Tasks-Based Multi-Source Domain Adaptation Using Divide-and-Conquer Strategy. - Ba Hung Ngo; Yeon Jeong Chae; So Jeong Park; Ju Hyun Kim; Sung In Cho (IEEE Access, 2023)

Easy-to-Hard Structure for Remote Sensing Scene Classification in Multitarget Domain Adaptation. - Ba Hung Ngo; Yeon Jeong Chae; Jae Hyeon Park; Ju Hyun Kim; Sung In Cho (IEEE Trans. Geosci. Remote. Sens., 2023)

Point2Lane: Polyline-Based Reconstruction With Principal Points for Lane Detection. - Yeon Jeong Chae; So Jeong Park; Eun Su Kang; Moon Ju Chae; Ba Hung Ngo; Sung In Cho (IEEE Trans. Intell. Transp. Syst., 2023)

DCID: A divide and conquer approach to solving the trade-off problem between artifacts caused by enhancement procedure in image downscaling. - Eun Su Kang; Yeon Jeong Chae; Jae Hyeon Park; Sung In Cho (Signal Process. Image Commun., 2024)

Context-Aware Sim-to-Real Unsupervised Domain Adaptation for Lane Detection via Disentangled Feature Alignment. - Yeon Jeong Chae; Ji Sun Byun; Yun Hak Lee; Jae Yun Lee; Sang Hoon Han; Joo Hyeon Jeon; Sung In Cho (IEEE Trans Autom. Sci. Eng., 2025)