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Jungbeom Lee
Jungbeom Lee
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Title
Cited by
Cited by
Year
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
5322019
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
2602021
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
2082022
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
1942021
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
J Lee, J Choi, J Mok, S Yoon
Neural Information Processing Systems (NeurIPS), 2021, 2021
1562021
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
992022
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
502019
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
482022
Robust tumor localization with pyramid grad-cam
S Lee, J Lee, J Lee, CK Park, S Yoon
arXiv preprint arXiv:1805.11393, 2018
432018
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
252023
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
212022
Msnet: Mutual suppression network for disentangled video representations
J Lee, J Lee, S Lee, S Yoon
British Machine Vision Conference (BMVC), 2019, 2018
20*2018
Toward Spatially Unbiased Generative Models
J Choi, J Lee, Y Jeong, S Yoon
International Conference on Computer Vision (ICCV), 2021, 2021
172021
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
132023
Toward Interactive Regional Understanding in Vision-Large Language Models
J Lee, S Chun, S Yun
NAACL 2024, 2024
2024
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Articles 1–15