Lee, Saehyung

10 publications

JMLR 2025 Regularizing Hard Examples Improves Adversarial Robustness Hyungyu Lee, Saehyung Lee, Ho Bae, Sungroh Yoon

ICML 2025 Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage Saehyung Lee, Seunghyun Yoon, Trung Bui, Jing Shi, Sungroh Yoon

ICML 2025 Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Mingi Jung, Saehyung Lee, Eunji Kim, Sungroh Yoon

ICLR 2024 DAFA: Distance-Aware Fair Adversarial Training Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon

ICLR 2024 Entropy Is Not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon

NeurIPS 2024 Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon

WACV 2023 Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training Saehyung Lee, Hyungyu Lee

NeurIPS 2023 On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon

ICML 2022 Dataset Condensation with Contrastive Signals Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon

ICLR 2021 Removing Undesirable Feature Contributions Using Out-of-Distribution Data Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon