Kuk-Jin Yoon
Also known as Kukjin Yoon
Kuk-Jin Yoon is a KAIST computer-vision researcher whose work spans stereo matching, event-camera imaging, and video editing. He earned three degrees at KAIST, completed postdoctoral work at KAIST and INRIA, and held faculty posts at GIST before joining KAIST's Department of Mechanical Engineering. His work includes adaptive stereo correspondence, EventSR for event-camera images, and Video-3DGS for temporally consistent video editing. As of October 2026, he is Dean of KAIST's College of AI and a professor in its Department of Mechanical Engineering.
- Now at
- KAIST
Timeline
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1998–2006
Three degrees at KAIST
He earns a B.S. in electrical engineering at KAIST in 1998, an M.S. in electrical engineering and computer science in 2000, and a Ph.D. in the same field in 2006.
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March 2006–May 2006
Postdoctoral researcher at KAIST
In March 2006, he works as a postdoctoral researcher in KAIST's RCV Lab through May 2006.
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April 2006
Adaptive support-weight stereo
With In So Kweon, he publishes “Adaptive Support-Weight Approach for Correspondence Search” in April 2006. The method adjusts pixel support weights using color similarity and geometric proximity to reduce ambiguity in stereo correspondence.
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August 2006–August 2008
Postdoctoral fellow at INRIA
In August 2006, he joins INRIA's PERCEPTION team in France as a postdoctoral fellow and works there through August 2008.
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2008–2018
Faculty at GIST
At GIST, he serves as an assistant professor from 2008 to 2014 and an associate professor from 2014 to 2018.
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2018–2024
KAIST faculty and EventSR
He joins KAIST's Department of Mechanical Engineering as an associate professor in 2018. With Lin Wang and Tae-Kyun Kim, he presents EventSR in an arXiv preprint in 2020, an end-to-end pipeline that reconstructs low-resolution images from event streams, enhances their quality, and upsamples the results. He becomes a professor at KAIST in 2024.
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2025
Video-3DGS at TMLR
In 2025, he coauthors Video-3DGS in Transactions on Machine Learning Research, a 3D Gaussian Splatting video refiner designed to improve temporal consistency in zero-shot video editing.
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As of October 2026
Dean and professor at KAIST
As of October 2026, he is Dean of KAIST's College of AI and a professor in its Department of Mechanical Engineering. KAIST's Visual Intelligence Lab researches computer vision, robotics, and machine learning.
Career
- Since 2006KAISTPostdoctoral researcher, Associate professor
- 2008–2018Gwangju Institute of Science and TechnologyAssistant professor, Associate professor
- 2006–2008InriaPostdoctoral fellow
Education
Sources and credits
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- KUK-JIN YOON
- Adaptive support-weight approach for correspondence search | Korea Advanced Institute of Science and Technology
- Kuk-Jin Yoon - Korea Advanced Institute of Science and Technology
- [2003.07640] EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning
- Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting - Korea Advanced Institute of Science and Technology
- Dean's Message | KAIST AI 대학
- KAIST Visual Intelligence Lab | VILab

