Hello, I’m Eunki Cho
I’m currently pursuing a Ph.D. in Artificial Intelligence at Kyung Hee University, affiliated with the Augmented Intelligence (AMI) Laboratory under the supervision of Prof. Seong-Tae Kim. My primary research interests include segmentation and generative modeling in computer vision, medical imaging, and remote sensing.

📢 News
- [Jul. 2025] A paper was accepted to ICIP 2025 at the LVLM workshop.
- [Jun. 2025] A paper was accepted to MICCAI 2025.
- [May 2025] A paper was accepted to IEEE Geoscience and Remote Sensing Letters (IF 4.0, JCR IF Rank 10.4%).
- [Mar. 2025] I was at New York University for six months as a visiting scholar (Global AI Frontier Lab).
- [Dec. 2024] A paper was accepted to IEEE Transactions on Circuits and Systems for Video Technology (IF 8.3, JCR IF Rank 5.5%).
- [Oct. 2024] We won first prize in the MICCAI 2024 PhaKIR Challenge (“Surgical Instrument Instance Segmentation” category, part of the EndoVis challenge).
- [Nov. 2023] A paper was accepted to Image and Vision Computing (IF 4.7, JCR IF Rank 18.5%).
📚 Publications
Hyeon Bae Kim†, Eunki Cho†, Jung Uk Kim*, Seong Tae Kim*
ICIP 2025, LVLM Workshop – Proceedings of the 2025 IEEE International Conference on Image Processing
Paper
Jongmin Shin†, Eunki Cho†, Ka Young Kim†, Jung Yong Kim, Seong Tae Kim*, Namkee Oh*
MICCAI 2025 – International Conference On Medical Image Computing & Computer Assisted Intervention
Paper
Eunki Cho, Soyoun Won, Oh Sung Choo, Seong Tae Kim (Corresponding)
IEEE Geoscience and Remote Sensing Letters (GRSL), 2025
Paper
Eunki Cho, Jung Uk Kim, Seong Tae Kim (Corresponding)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025
Paper
Eunki Cho, Minkuk Kim, Hyung-Il Kim, Jinyoung Moon, Seong Tae Kim (Co-Corresponding)
Image and Vision Computing (IMAVIS), Vol. 140, 2023
Paper
💡 Research Experience
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New York University, New York, NY
Visiting Scholar, Global AI Frontier Lab (Mar. 2025 – Aug. 2025)
🏆 Awards & Honors
📝 Reviewer Service
Conference: CVPR / ICCV / ECCV / NeurIPS
Journal: TCSVT / IMAVIS