| 2025 | MICCAI | 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 |
| 2025 | WACV | AH-OCDA: Amplitude-Based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation. | Jaehyun Choi, Junwon Ko, Dong-Jae Lee, Junmo Kim |
| 2024 | AAAI | Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep. | Jae Young Lee, Woonghyun Ka, Jaehyun Choi, Junmo Kim |
| 2024 | ECCV | Learning Neural Deformation Representation for 4D Dynamic Shape Generation. | Gyojin Han, Jiwan Hur, Jaehyun Choi, Junmo Kim |
| 2024 | ICASSP | Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency. | Woonghyun Ka, Jae Young Lee, Jaehyun Choi, Junmo Kim |
| 2024 | Interspeech | Acceleration of Posteriorgram-based DTW by Distilling the Class-to-class Distances Encoded in the Classifier Used to Calculate Posteriors. | Haitong Sun, Jaehyun Choi, Nobuaki Minematsu, Daisuke Saito |
| 2024 | MICCAI | PSGMM: Pulmonary Segment Segmentation Based on Gaussian Mixture Model. | Seunghee Koh, Chanho Lee, Jae Young Lee, Jaehyun Choi, Youngno Yoon, Changyoung Lee, Junmo Kim |
| 2024 | WACV | Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning. | Jiwan Hur, Jaehyun Choi, Gyojin Han, Dong-Jae Lee, Junmo Kim |
| 2023 | BMVC | Few-Shot Anomaly Detection with Adversarial Loss for Robust Feature Representations. | Jae Young Lee, Wonjun Lee, Jaehyun Choi, Yongkwi Lee, Young Seog Yoon |
| 2023 | CVPR | Reinforcement Learning-Based Black-Box Model Inversion Attacks. | Gyojin Han, Jaehyun Choi, Haeil Lee, Junmo Kim |
| 2023 | CVPR | Fix the Noise: Disentangling Source Feature for Controllable Domain Translation. | Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Jaejun Yoo, Junmo Kim |
| 2023 | ICIP | Data Poisoning Attack Aiming the Vulnerability of Continual Learning. | Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim |
| 2023 | ICIP | Deep Cross-Modal Steganography Using Neural Representations. | Gyojin Han, Dong-Jae Lee, Jiwan Hur, Jaehyun Choi, Junmo Kim |
| 2023 | Interspeech | Automatic Prediction of Language Learners' Listenability Using Speech and Text Features Extracted from Listening Drills. | Yingxiang Gao, Jaehyun Choi, Nobuaki Minematsu, Noriko Nakanishi, Daisuke Saito |
| 2023 | WACV | I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images. | Jiwan Hur, Jae Young Lee, Jaehyun Choi, Junmo Kim |
| 2014 | HCI | The Gap between What a Service Provider Shows Off and What Users Really Watch. | Dongjin Kim, Jaehyun Choi |
| 2006 | APNOMS | A Node Management Tool for Dynamic Reconfiguration of Application Modules in Sensor Networks. | Sunwoo Jung, Jaehyun Choi, Dongkyu Kim, Kiwon Chong |