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Hyunjung Shim

Attention-Based Dropout Layer for Weakly Supervised Object Localization
2019 · Junsuk Choe, Hyunjung Shim · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 420
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Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation
2021 · Seungho Lee, Minhyun Lee, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 288
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Evaluating Weakly Supervised Object Localization Methods Right
2020 · Junsuk Choe, Seong Joon Oh, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 216
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Rethinking the Truly Unsupervised Image-to-Image Translation
2021 · Kyungjune Baek, Yunjey Choi, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 128
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Few-shot Font Generation with Localized Style Representations and Factorization
2021 · Song Park, Sanghyuk Chun, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 123
Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation
2020 · Junsuk Choe, Seungho Lee, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 119
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts
2021 · Song Park, Sanghyuk Chun, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 111
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Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds
2022 · Minhyun Lee, Dongseob Kim, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 106
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A performance comparison of convolutional neural network‐based image denoising methods: The effect of loss functions on low‐dose CT images
2019 · Byeongjoon Kim, Minah Han, et al. · Medical Physics · 104
MGGAN: Solving Mode Collapse Using Manifold-Guided Training
2021 · Duhyeon Bang, Hyunjung Shim · IEEE International Conference on Computer Vision Workshops · 103
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Face Generation for Low-Shot Learning Using Generative Adversarial Networks
2017 · Junsuk Choe, Song Park, et al. · IEEE International Conference on Computer Vision Workshops · 69
A Privacy-Preserving Image Retrieval Based on AC-Coefficients and Color Histograms in Cloud Environment
2019 · Zhihua Xia, Lihua Lu, et al. · Computers, materials & continua/Computers, materials & continua (Print) · 60
A Subspace Model-Based Approach to Face Relighting Under Unknown Lighting and Poses
2008 · Hyunjung Shim, Jiebo Luo, et al. · IEEE Transactions on Image Processing · 55
2006 Conference on Computer Vision and Pattern Recognition Workshops
2006 · Hyunjung Shim, Tsuhan Chen, et al. · 54
Rigid and non-rigid motion artifact reduction in X-ray CT using attention module
2020 · Youngjun Ko, Seunghyuk Moon, et al. · Medical Image Analysis · 52
GridMix: Strong regularization through local context mapping
2020 · Kyungjune Baek, Duhyeon Bang, et al. · Pattern Recognition · 48
Collaborative Distillation for Top-N Recommendation
2019 · Jae-woong Lee, Minjin Choi, et al. · Proceedings · 48
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PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation
2020 · Kyungjune Baek, Minhyun Lee, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 37
Improved Training of Generative Adversarial Networks Using Representative Features
2018 · Bang, Duhyeon, Shim, Hyunjung · arXiv (Cornell University) · 35
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A streak artifact reduction algorithm in sparse‐view CT using a self‐supervised neural representation
2022 · Byeongjoon Kim, Hyunjung Shim, et al. · Medical Physics · 31
Low‐dose CT denoising via convolutional neural network with an observer loss function
2021 · Minah Han, Hyunjung Shim, et al. · Medical Physics · 31
Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic Segmentation
2023 · Minhyun Lee, Seungho Lee, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 29
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets
2022 · Junsuk Choe, Seong Joon Oh, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 28
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A convolutional neural network‐based model observer for breast CT images
2020 · Gihun Kim, Minah Han, et al. · Medical Physics · 27
Weakly-supervised progressive denoising with unpaired CT images
2021 · Byeongjoon Kim, Hyunjung Shim, et al. · Medical Image Analysis · 26
Works count: 161
Citation count: 2,998
H-index: 25
I10-index: 51
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