Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching. - Byoungjip Kim; Sungik Choi; Dasol Hwang; Moontae Lee; Honglak Lee (NeurIPS, 2022)

Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment. - Dong Hoon Lee; Sungik Choi; Hyunwoo J. Kim; Sae-Young Chung (NeurIPS, 2022)

Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models. - Sungik Choi; Hankook Lee; Honglak Lee; Moontae Lee (NeurIPS, 2023)

Observation-Guided Diffusion Probabilistic Models. - Junoh Kang; Jinyoung Choi; Sungik Choi; Bohyung Han (CVPR, 2024)

Learning Equi-Angular Representations for Online Continual Learning. - Minhyuk Seo; Hyunseo Koh; Wonje Jeung; Minjae Lee; San Kim; Hankook Lee; Sungjun Cho; Sungik Choi; Hyunwoo Kim; Jonghyun Choi (CVPR, 2024)

Partial-Multivariate Model for Forecasting. - Jaehoon Lee; Hankook Lee; Sungik Choi; Sungjun Cho; Moontae Lee (CoRR, 2024)

HFI: A unified framework for training-free detection and implicit watermarking of latent diffusion model generated images. - Sungik Choi; Sungwoo Park; Jaehoon Lee; Seunghyun Kim; Stanley Jungkyu Choi; Moontae Lee (CoRR, 2024)

Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection. - Suhee Yoon; Sanghyu Yoon; Ye Seul Sim; Sungik Choi; Kyungeun Lee; Hye-Seung Cho; Hankook Lee; Woohyung Lim (AAAI, 2025)