Seunghun Lee

Ph.D. Student

lsh5688 at dgist.ac.kr

Research Interests

• Generative Adversrial Networks
• Image-to-Image Translation & Style Transfer
• Domain Adaptation

Education

• B.S.–M.S.–Ph.D. Integrated Course in Electrical Engineering and Computer Science, DGIST, Feb 2018 – present.
• B.S. in Convergence Engineering, DGIST, Feb 2019.

Publication

• Seunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, Sunghoon Im, “ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
• Seunghun Lee, Sunghyun Cho, and Sunghoon Im, “DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Scholarships & Awards

• Participation Prize, 28th HumanTech Paper Award, Samsung Electronics Co., Ltd., Feb 2022.
• 3rd place Prize at ICT Paper contest, Dec 2021.