Adversarial representation teaching with perturbation-agnostic student-teacher structure for semi-supervised learning - Jae Hyeon Park; Ju Hyun Kim; Ba Hung Ngo; Jung Eun Kwon; Sung In Cho (Appl. Intell., 2023)

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 (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

BDIS: Balanced Training Architecture for Dual Image Scaler Using Origin Referenceable Losses - Eun Su Kang; Jung Eun Kwon; Hae Ju Park; Moon Ju Chae; Sung In Cho (IEEE Access, 2022)

Distilling and Refining Domain-Specific Knowledge for Semi-Supervised Domain Adaptation - Ju Hyun Kim; Ba Hung Ngo; Jae Hyeon Park; Jung Eun Kwon; Ho Sub Lee; Sung In Cho (33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November 21-24, 2022, 2022)