Seunghee Koh

According to our database, Seunghee Koh authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

MDS-DETR: DETR with Masked Duplicate Suppressor.

Chanho Lee, Seunghee Koh, Yunho Jeon, Junmo Kim

CoRR, May, 2026

Forget What Matters, Keep the Rest: Selective Unlearning of Informative Tokens.

Seunghee Koh, Sunghyun Baek, Youngdong Kim, Junmo Kim

CoRR, April, 2026

IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation.

Sunghyun Baek, Jaemyung Yu, Seunghee Koh, Minsu Kim, Hyeonseong Jeon, Junmo Kim

CoRR, March, 2026

2025

PSGM-TR: A Transformer-Based Approach for Pulmonary Segment Segmentation Using Gaussian Mixture Models.

Seunghee Koh, Chanho Lee, Jaehyun Choi, Minseo Kim, Youngno Yoon, Changyoung Lee, Junmo Kim

Proceedings of the Shape in Medical Imaging, 2025

2024

PSGMM: Pulmonary Segment Segmentation Based on Gaussian Mixture Model.

Seunghee Koh, Chanho Lee, Jae Young Lee, Jaehyun Choi, Youngno Yoon, Changyoung Lee, Junmo Kim

Proceedings of the Shape in Medical Imaging - International Workshop, 2024

Neural Vicinal Risk Minimization: Noise-robust Distillation for Noisy Labels.

Hyounguk Shon, Seunghee Koh, Yunho Jeon, Junmo Kim

Proceedings of the IJCAI 2024 Workshop on Artificial Intelligence Safety (AISafety 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024

2023

Disposable Transfer Learning for Selective Source Task Unlearning.

Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023