Reconstruction of an all-in-focus image by region-adaptive fusion of limited depth-of-field images. - Jae Young Lee 002; Sung Oh Park; Rae-Hong Park (ICCE, 2016)

Global motion compensated saliency estimation with a hand-held camera for video retiming. - Won Jong Jo; Jong-Min Choe; Jae Young Lee 002; Rae-Hong Park (ICCE, 2017)

Depth Estimation From Light Field by Accumulating Binary Maps Based on Foreground-Background Separation. - Jae Young Lee 002; Rae-Hong Park (IEEE J. Sel. Top. Signal Process., 2017)

Reduction of Aliasing Artifacts by Sign Function Approximation in Light Field Depth Estimation Based on Foreground-Background Separation. - Jae Young Lee 002; Rae-Hong Park (IEEE Signal Process. Lett., 2018)

Occlusion Handling by Successively Excluding Foregrounds for Light Field Depth Estimation Based on Foreground-Background Separation. - Jae Young Lee 002; Rae-Hong Park; Junmo Kim 002 (IEEE Access, 2021)

Complex-Valued Disparity: Unified Depth Model of Depth from Stereo, Depth from Focus, and Depth from Defocus Based on the Light Field Gradient. - Jae Young Lee 002; Rae-Hong Park (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Cyclic test time augmentation with entropy weight method. - Sewhan Chun; Jae Young Lee 002; Junmo Kim 002 (UAI, 2022)

Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN. - Dongyeun Lee; Jae Young Lee 002; Doyeon Kim; Jaehyun Choi; Junmo Kim 002 (CoRR, 2022)

Few-Shot Anomaly Detection with Adversarial Loss for Robust Feature Representations. - Jae Young Lee 002; Wonjun Lee; Jaehyun Choi; Yongkwi Lee; Young Seog Yoon (BMVC, 2023)

Fix the Noise: Disentangling Source Feature for Controllable Domain Translation. - Dongyeun Lee; Jae Young Lee 002; Doyeon Kim; Jaehyun Choi; Jaejun Yoo 001; Junmo Kim 002 (CVPR, 2023)

Lightweight Monocular Depth Estimation via Token-Sharing Transformer. - Dong-Jae Lee; Jae Young Lee 002; Hyunguk Shon; Eojindl Yi; Yeong-Hun Park; Sung-Sik Cho; Junmo Kim 002 (ICRA, 2023)

I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images. - Jiwan Hur; Jae Young Lee 002; Jaehyun Choi; Junmo Kim 002 (WACV, 2023)

Lightweight Monocular Depth Estimation via Token-Sharing Transformer. - Dong-Jae Lee; Jae Young Lee 002; Hyounguk Shon; Eojindl Yi; Yeong-Hun Park; Sung-Sik Cho; Junmo Kim 002 (CoRR, 2023)

Multi-scale foreground-background separation for light field depth estimation with deep convolutional networks. - Jae Young Lee 002; Jiwan Hur; Jaehyun Choi; Rae-Hong Park; Junmo Kim 002 (Pattern Recognit. Lett., 2023)

Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep. - Jae Young Lee 002; Woonghyun Ka; Jaehyun Choi; Junmo Kim 002 (AAAI, 2024)

Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency. - Woonghyun Ka; Jae Young Lee 002; Jaehyun Choi; Junmo Kim 002 (ICASSP, 2024)

PSGMM: Pulmonary Segment Segmentation Based on Gaussian Mixture Model. - Seunghee Koh; Chanho Lee; Jae Young Lee 002; Jaehyun Choi; Youngno Yoon; Changyoung Lee; Junmo Kim 002 (ShapeMI@MICCAI, 2024)

Real-Time Polyp Detection in Colonoscopy using Lightweight Transformer. - Youngbeom Yoo; Jae Young Lee 002; Dong-Jae Lee; Jiwoon Jeon; Junmo Kim 002 (WACV, 2024)

Inception CNN-Transformer for Robust PPG-to-ECG Reconstruction. - Sung Woo Kim; Jae Young Lee 002; Jongsuk Kim; Junmo Kim 002 (UR, 2025)