Ficklenet: Weakly and semi-supervised semantic image segmentation using stochastic inference J Lee, E Kim, S Lee, J Lee, S Yoon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 488 | 2019 |
Anti-adversarially manipulated attributions for weakly and semi-supervised semantic segmentation J Lee, E Kim, S Yoon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 213 | 2021 |
XProtoNet: diagnosis in chest radiography with global and local explanations E Kim, S Kim, M Seo, S Yoon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 95 | 2021 |
Weakly supervised semantic segmentation using out-of-distribution data J Lee, SJ Oh, S Yun, J Choe, E Kim, S Yoon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 74 | 2022 |
Interpretation of NLP models through input marginalization S Kim, J Yi, E Kim, S Yoon Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 55 | 2020 |
Frame-to-frame aggregation of active regions in web videos for weakly supervised semantic segmentation J Lee, E Kim, S Lee, J Lee, S Yoon Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 47 | 2019 |
Bridging the gap between classification and localization for weakly supervised object localization E Kim, S Kim, J Lee, H Kim, S Yoon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 38 | 2022 |
Probabilistic concept bottleneck models E Kim, D Jung, S Park, S Kim, S Yoon arXiv preprint arXiv:2306.01574, 2023 | 23 | 2023 |
Anti-adversarially manipulated attributions for weakly supervised semantic segmentation and object localization J Lee, E Kim, J Mok, S Yoon IEEE transactions on pattern analysis and machine intelligence, 2022 | 17 | 2022 |
Towards high generalization performance on electrocardiogram classification H Han, S Park, S Min, HS Choi, E Kim, H Kim, S Park, J Kim, J Park, J An, ... 2021 Computing in Cardiology (CinC) 48, 1-4, 2021 | 15 | 2021 |
Robust end-to-end focal liver lesion detection using unregistered multiphase computed tomography images SG Lee, E Kim, JS Bae, JH Kim, S Yoon IEEE Transactions on Emerging Topics in Computational Intelligence 7 (2 …, 2021 | 10 | 2021 |
Improving visual prompt tuning for self-supervised vision transformers S Yoo, E Kim, D Jung, J Lee, S Yoon International Conference on Machine Learning, 40075-40092, 2023 | 9 | 2023 |
Silent Speech Recognition with Strain Sensors and Deep Learning Analysis of Directional Facial Muscle Movement H Yoo, E Kim, JW Chung, H Cho, S Jeong, H Kim, D Jang, H Kim, J Yoon, ... ACS Applied Materials & Interfaces 14 (48), 54157-54169, 2022 | 9 | 2022 |
Information-theoretic visual explanation for black-box classifiers J Yi, E Kim, S Kim, S Yoon arXiv preprint arXiv:2009.11150, 2020 | 5 | 2020 |
De-stereotyping text-to-image models through prompt tuning E Kim, S Kim, C Shin, S Yoon | 3 | 2023 |
Improving generalization performance of electrocardiogram classification models H Han, S Park, S Min, E Kim, HG Kim, S Park, JK Kim, J Park, J An, K Lee, ... Physiological Measurement 44 (5), 054003, 2023 | 1 | 2023 |
Speech recognition using facial skin strain data Y Sungroh, E Kim, KIM Heeseung US Patent 11,810,549, 2023 | | 2023 |
Variational Perturbations for Visual Feature Attribution JM Kim, E Kim, S Yoon, J Lee, C Schmid, Z Akata | | 2021 |
Variational saliency maps for explaining model's behavior JM Kim, E Kim, S Ha, S Yoon, J Lee | | 2020 |