C: Conference, J: Journal, W: Workshop, P: Preprint / * Equal contribution
[C14] Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models
Mingi Jung, Saehuyng Lee, Eunji Kim, Sungroh Yoon.
International Conference on Machine Learning (ICML), 2025.
[C13] Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion
Eunji Kim*, Siwon Kim*, Minjun Park, Rahim Entezari, Sungroh Yoon.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
[C12] DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection
Jaewoo Song, Daemin Park, Kanghyun Baek, Sangyub Lee, Jooyoung Choi, Eunji Kim, Sungroh Yoon.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
Spotlight
[W2] Exploring Intrinsic Fairness in Stable Diffusion
Eunji Kim*, Siwon Kim*, Rahim Entezari, Robin Rombach, Sungroh Yoon.
Conference on Neural Information Processing Systems (NeurIPS) workshop on Responsibly Building the Next Generation of Multimodal Foundational Models, 2024.
[C11] Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP
Eunji Kim, Kyuhong Shim, Simyung Chang, Sungroh Yoon
Empirical Methods in Natural Language (EMNLP) findings, 2024.
[P3] Unlocking Intrinsic Fairness in Stable Diffusion
Eunji Kim*, Siwon Kim*, Rahim Entezari, Sungroh Yoon.
ArXiv Preprint, 2024.
[C10] Probabilistic Concept Bottleneck Models
Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon.
International Conference on Machine Learning (ICML), 2023.
[C9] Improving Visual Prompt Tuning for Self-supervised Vision Transformers
Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon.
International Conference on Machine Learning (ICML), 2023.
[W1] De-stereotyping Text-to-image Models through Prompt Tuning
Eunji Kim*, Siwon Kim*, Chaehun Shin, Sungroh Yoon.
International Conference on Machine Learning (ICML) workshop on Deployment Challenges for Generative AI, 2023.
[C8] Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization
Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[C7] Weakly Supervised Semantic Segmentation using Out-of-Distribution Data
Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[J4] Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization
Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), in press. (Impact Factor: 16.389)
[J3] Silent Speech Recognition with Strain Sensors and Deep Learning Analysis of Directional Facial Muscle Movement
Hyunjun Yoo*, Eunji Kim*, Jong Won Chung*, Hyeon Cho, Sujin Jeong, Heeseung Kim, Dongju Jang, Hayun Kim, Jinsu Yoon, Gae Hwang Lee, Hyunbum Kang, Joo-Young Kim, Youngjun Yun, Sungroh Yoon, and Yongtaek Hong.
In ACS Appl. Mater. Interfaces, vol. 14, November 2022. (Impact Factor: 10.383)
[C6] XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations
Eunji Kim, Siwon Kim, Minji Seo, Sungroh Yoon.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Oral presentation
[C5] Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation
Jungbeom Lee, Eunji Kim, Sungroh Yoon.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[J2] Improving generalization performance of electrocardiogram classification models
Hyeongrok Han, Seongjae Park, Seonwoo Min, Eunji Kim, HyunGi Kim, Sangha Park, Jinkook Kim, Junsang Park, Junho An, Kwanglo Lee, Wonsun Jeong, Sangil Chon, Kwonwoo Ha, Myungkyu Han, Hyun-Soo Choi, Sungroh Yoon
In Physiological Measurement, vol. 44, May 2023.
[C4] Towards High Generalization Performance on Electrocardiogram Classification
Hyeongrok Han, Seongjae Park, Seonwoo Min, Hyun-Soo Choi, Eunji Kim, Hyunki Kim, Sangha Park, Jinkook Kim, Junsang Park, Junho An, Kwanglo Lee, Wonsun Jeong, Sangil Chon, Kwonwoo Ha, Myungkyu Han, Sungroh Yoon
Computing in Cardiology (CinC), 2021.
[J1] Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images
Sang-gil Lee*, Eunji Kim*, Jae Seok Bae*, Jung Hoon Kim, Sungroh Yoon.
IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), vol. 7, April 2023.
[C3] Interpretation of NLP models through input marginalization
Siwon Kim, Jihun Yi, Eunji Kim, Sungroh Yoon.
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
[P2] Variational Saliency Maps for Explaining Model's Behavior
Jae Myung Kim, Eunji Kim, Seokhyeon Ha, Sungroh Yoon, Jungwoo Lee.
OpenReview, 2020.
[P1] Information-theoretic visual explanation for black-box classifiers
Jihun Yi, Eunji Kim, Siwon Kim, Sungroh Yoon.
ArXiv preprint, 2020.
[C2] Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation
Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon.
IEEE International Conference on Computer Visio (ICCV), 2019.
[C1] FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference
Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
