Sehyun Hwang
I am a Ph.D. student at the POSTECH Computer Vision Lab, under the guidance of Prof. Suha Kwak, within the Department of Computer Science Engineering at POSTECH.
My research interest lies in various aspects of machine learning and computer vision including, but not limited to, active learning, domain adaptation, debiasing and its applications. I recently interested in using active learning to address challenges like data shortages, spurious correlations, and data imbalances.
I’m actively seeking opportunities for meaningful collaborations and internships. If you find my work interesting or have any questions, please don’t hesitate to reach out.
News
May 1, 2024 | 📩 A paper about actively correcting segmentation labels using foundation model is accepted to ICML 2024. |
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Mar 6, 2024 | 📩 A paper about weakly supervised instance segmenation with extreme points is accepted to CVPR 2024. |
Sep 22, 2023 | 📩 A paper about active learning for semantic segmentation using multi-class labeling is accepted to NeurIPS 2023. |
Jul 14, 2023 | 📩 A paper about active learning for semantic segmentation using adaptive superpixel is accepted to ICCV 2023. |
May 22, 2023 | 🎉 I won the POSTECHIAN Fellowship Award from POSTECH CSE. |
Education
Sep, 2018 - Present | Pohang University of Science and Technology (POSTECH), Pohang, South Korea Integrated M.S./Ph.D. student in Computer Science and Engineering Advisor: Prof. Suha Kwak |
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Mar, 2014 - Sep, 2018 | Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea B.S. in School of Undergraduate Studies |
Experience
Mar, 2024 - Present | University of Tübingen, Tübingen, Germany Visiting Researcher
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Sep, 2018 - Present | Computer Vision Lab, POSTECH, Pohang, South Korea Research and Teaching Assistant |
Publications
* indicates equal contribution.
- Extreme Point Supervised Instance SegmentationIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Honors and Awards
POSTECHIAN Fellowship Award (2023)
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