FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference. - Jungbeom Lee; Eunji Kim 002; Sungmin Lee 001; Jangho Lee 002; Sungroh Yoon (CVPR, 2019)

Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation. - Jungbeom Lee; Eunji Kim 002; Sungmin Lee 001; Jangho Lee 002; Sungroh Yoon (ICCV, 2019)

Interpretation of NLP models through input marginalization. - Siwon Kim; Jihun Yi; Eunji Kim 002; Sungroh Yoon (EMNLP (1), 2020)

Information-Theoretic Visual Explanation for Black-Box Classifiers. - Jihun Yi; Eunji Kim 002; Siwon Kim; Sungroh Yoon (CoRR, 2020)

Towards High Generalization Performance on Electrocardiogram Classification. - Hyeongrok Han; Seongjae Park; Seonwoo Min; Hyun-Soo Choi; Eunji Kim 002; Hyunki Kim; Sangha Park; Jinkook Kim; Junsang Park; Junho An; Kwanglo Lee; Wonsun Jeong; et al. (CinC, 2021)

XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations. - Eunji Kim 002; Siwon Kim; Minji Seo; Sungroh Yoon (CVPR, 2021)

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation. - Jungbeom Lee; Eunji Kim 002; Sungroh Yoon (CVPR, 2021)

Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization. - Eunji Kim 002; Siwon Kim; Jungbeom Lee; Hyunwoo Kim; Sungroh Yoon (CVPR, 2022)

Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. - Jungbeom Lee; Seong Joon Oh; Sangdoo Yun; Junsuk Choe; Eunji Kim 002; Sungroh Yoon (CVPR, 2022)

Probabilistic Concept Bottleneck Models. - Eunji Kim 002; Dahuin Jung; Sangha Park; Siwon Kim; Sungroh Yoon (ICML, 2023)

Improving Visual Prompt Tuning for Self-supervised Vision Transformers. - Seungryong Yoo; Eunji Kim 002; Dahuin Jung; Jungbeom Lee; Sungroh Yoon (ICML, 2023)

Robust End-to-End Focal Liver Lesion Detection Using Unregistered Multiphase Computed Tomography Images. - Sang-gil Lee; Eunji Kim 002; Jae Seok Bae; Jung Hoon Kim; Sungroh Yoon (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP. - Eunji Kim 002; Kyuhong Shim; Simyung Chang; Sungroh Yoon (EMNLP (Findings), 2024)

Unlocking Intrinsic Fairness in Stable Diffusion. - Eunji Kim 002; Siwon Kim; Rahim Entezari; Sungroh Yoon (CoRR, 2024)

Interpretable Language Modeling via Induction-head Ngram Models. - Eunji Kim 002; Sriya Mantena; Weiwei Yang; Chandan Singh; Sungroh Yoon; Jianfeng Gao 001 (CoRR, 2024)

Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens. - Jaihyun Lew; Soohyuk Jang; Jaehoon Lee; Seungryong Yoo; Eunji Kim 002; Saehyung Lee; Jisoo Mok; Siwon Kim; Sungroh Yoon (CoRR, 2024)

Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization. - Jungbeom Lee; Eunji Kim 002; Jisoo Mok; Sungroh Yoon (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion. - Eunji Kim 002; Siwon Kim; Minjun Park; Rahim Entezari; Sungroh Yoon (CVPR, 2025)

DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection. - Jaewoo Song; Daemin Park; Kanghyun Baek; Sangyub Lee 005; Jooyoung Choi; Eunji Kim 002; Sungroh Yoon (CVPR, 2025)

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models. - Mingi Jung; Saehuyng Lee; Eunji Kim 002; Sungroh Yoon (CoRR, 2025)