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Jeongyun Kim
I received my Ph.D. in Mechanical Engineering from Seoul National University, where I was a member of the RPM Robotics Lab and was advised by Prof. Ayoung Kim.
My research interests lie in perception and depth reconstruction for transparent object manipulation, with a particular focus on vision-based neural volumetric synthesis techniques.
Email  / 
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Github  / 
LinkedIn
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TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update
Jeongyun Kim*,
Seunghoon Jeong*, Giseop Kim, Myung-Hwan Jeon, Eunji Jun and Ayoung Kim
IEEE/CVF International Conference on Computer Vision (ICCV), 2025
[arXiv]
[project]
[code]
[video]
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TranSplat: Surface Embedding-guided 3D Gaussian Splatting for Transparent Object Manipulation
Jeongyun Kim,
Jeongho Noh, DongGuw Lee and Ayoung Kim
IEEE International Conference on Robotics and Automation (ICRA), 2025
[arXiv]
[video]
[code]
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TRansPose: Large-scale Multispectral Dataset for Transparent object
Jeongyun Kim,
Myung-Hwan Jeon, Sangwoo Jung, Wooseong Yang, Minwoo Jung, Jaeho Shin and Ayoung Kim
The International Journal of Robotics Research (IJRR), 2024
[arXiv]
[dataset site]
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Other publications and projects
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Jeongho Noh, Tai Hyoung Rhee, Eunho Lee, Jeongyun Kim, Sunwoo Lee and Ayoung Kim
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Vienna, June 2026
[PDF]
[BibTeX]
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Seunghoon Jeong, Eunho Lee, Jeongyun Kim and Ayoung Kim
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Vienna, June 2026
[PDF]
[BibTeX]
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Thermal Chameleon: Task-Adaptive Tone-Mapping for Radiometric Thermal-Infrared Images
Dong-Guw Lee,
Jeongyun Kim,
Younggun Cho and Ayoung Kim
IEEE Robotics and Automation Letters (RA-L), 2024
[paper]
[code]
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Ambiguity-aware multi-object pose optimization for visually-assisted robot manipulation
Myung-Hwan Jeon
Jeongyun Kim,
Jee-Hwan Ryu, and Ayoung Kim
IEEE Robotics and Automation Letters (RA-L), 2023
[paper]
[video]
[code]
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STheReO: Stereo Thermal Dataset for Research in Odometry and Mapping
Seungsang Yun, Minwoo Jung,
Jeongyun Kim,
Sangwoo Jung, Younghun Cho, Myung-Hwan Jeon, Giseop Kim and Ayoung Kim
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
[paper]
[dataset site]
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