| FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference J Lee, E Kim, S Lee, J Lee, S Yoon Computer Vision and Pattern Recognition (CVPR), 2019, 2019 | 551 | 2019 |
| Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation J Lee, E Kim, S Yoon Computer Vision and Pattern Recognition (CVPR), 2021, 2021 | 303 | 2021 |
| Perception Prioritized Training of Diffusion Models J Choi, J Lee, C Shin, S Kim, H Kim, S Yoon Computer Vision and Pattern Recognition (CVPR), 2022, 2022 | 245 | 2022 |
| BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation J Lee, J Yi, C Shin, S Yoon Computer Vision and Pattern Recognition (CVPR), 2021, 2021 | 221 | 2021 |
| Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation J Lee, J Choi, J Mok, S Yoon Neural Information Processing Systems (NeurIPS), 2021, 2021 | 179 | 2021 |
| Weakly Supervised Semantic Segmentation using Out-of-Distribution Data J Lee, SJ Oh, S Yun, J Choe, E Kim, S Yoon Computer Vision and Pattern Recognition (CVPR), 2022, 2022 | 124 | 2022 |
| Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization E Kim, S Kim, J Lee, H Kim, S Yoon Computer Vision and Pattern Recognition (CVPR), 2022, 2022 | 53 | 2022 |
| 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 International Conference on Computer Vision (ICCV), 2019, 2019 | 52 | 2019 |
| Robust tumor localization with pyramid grad-cam S Lee, J Lee, J Lee, CK Park, S Yoon arXiv preprint arXiv:1805.11393, 2018 | 48 | 2018 |
| Improving Visual Prompt Tuning for Self-supervised Vision Transformers S Yoo, E Kim, D Jung, J Lee, S Yoon International Conference on Machine Learning (ICML), 2023, 2023 | 45 | 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 (TPAMI), 2022 | 28 | 2022 |
| Msnet: Mutual suppression network for disentangled video representations J Lee, J Lee, S Lee, S Yoon British Machine Vision Conference (BMVC), 2019, 2018 | 25* | 2018 |
| Toward Spatially Unbiased Generative Models J Choi, J Lee, Y Jeong, S Yoon International Conference on Computer Vision (ICCV), 2021, 2021 | 17 | 2021 |
| Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency J Lee, S Lee, J Nam, S Yu, J Do, T Taghavi International Conference on Computer Vision (ICCV), 2023, 2023 | 16 | 2023 |
| Toward Interactive Regional Understanding in Vision-Large Language Models J Lee, S Chun, S Yun NAACL 2024, 2024 | 1 | 2024 |
| Know" No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP J Park, J Lee, J Song, S Yu, D Jung, S Yoon arXiv preprint arXiv:2501.10913, 2025 | | 2025 |
Sungroh YoonProfessor, Electrical and Computer Engineering & Artificial Intelligence, Seoul National UniversityVerified email at snu.ac.kr
