Speeding up scaled gradient projection methods using deep neural networks for inverse problems in image processing. - Byung Hyun Lee; Se Young Chun (CoRR, 2019)

Empirically Accelerating Scaled Gradient Projection Using Deep Neural Network for Inverse Problems in Image Processing. - Byung Hyun Lee; Se Young Chun (ICASSP, 2021)

All-in-One Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations. - Dongwon Park; Byung Hyun Lee; Se Young Chun (CVPR, 2023)

Online Continual Learning on Hierarchical Label Expansion. - Byung Hyun Lee; Okchul Jung; Jonghyun Choi; Se Young Chun (ICCV, 2023)

Doubly Perturbed Task Free Continual Learning. - Byung Hyun Lee; Min-hwan Oh; Se Young Chun (AAAI, 2024)

Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation. - Byung Hyun Lee; Sungjin Lim; Se Young Chun (CVPR, 2025)

Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate. - Byung Hyun Lee; Sungjin Lim; Seunggyu Lee; Dong Un Kang; Se Young Chun (ICLR, 2025)

Continual Test-Time Adaptation for Robust Remote Photoplethysmography Estimation. - Hyunwoo Lee 002; Haechang Lee 001; Byung Hyun Lee; Se Young Chun (IEEE Access, 2025)

On Geometrical Properties of Text Token Embeddings for Strong Semantic Binding in Text-to-Image Generation. - Hoigi Seo; Junseo Bang; Haechang Lee; Joohoon Lee; Byung Hyun Lee; Se Young Chun (CoRR, 2025)

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis. - Byung Hyun Lee; Wongi Jeong; Woojae Han; Kyoungbun Lee; Se Young Chun (CoRR, 2025)