Publications
Publications
Embedded Files
2025
2025
3D-Aware Vision-Language Models Fine-Tuning with Geometric DistillationSeonho Lee*, Jiho Choi*, Inha Kang, Jiwook Kim, Junsung Park, Hyunjung ShimEMNLP 2025 Findings
Scribble-Guided Diffusion for Training-free Text-to-Image GenerationSeonho Lee*, Jiho Choi*, Seohyun Lim, Jiwook Kim, Hyunjung ShimICIP 2025
I0T: Embedding Standardization Method Towards Zero Modality Gap Na Min An*, Eunki Kim*, James Thorne, Hyunjung ShimACL 2025 Outstanding paper
Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part SegmentationJiho Choi*, Seonho Lee*, Minhyun Lee, Seungho Lee, Hyunjung ShimCVPR 2025
Classifier-guided CLIP Distillation for Unsupervised Multi-label ClassificationDongseob Kim, Hyunjung ShimCVPR 2025
No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse WeatherJunsung Park, Hwijeong Lee, Inha Kang, Hyunjung ShimCVPR 2025
DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion ModelsHyogon Ryu, NaHyeon Park, Hyunjung ShimICLR 2025
DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity PreservationJiwook Kim*, Seonho Lee*, Jaeyo Shin, Jiho Choi, Hyunjung ShimICLR 2025
Label-Augmented Dataset Distillation Seoungyoon Kang*, Youngsun Lim*, Hyunjung ShimWACV 2025 Oral
Evaluating Image Hallucination in Text-to-Image Generation with Question-AnsweringYoungsun Lim*, Hojun Choi*, Hyunjung ShimAAAI 2025 Oral
Scribble-Guided Diffusion for Training-free Text-to-Image GenerationSeonho Lee*, Jiho Choi*, Seohyun Lim, Jiwook Kim, Hyunjung ShimICIP 2025
I0T: Embedding Standardization Method Towards Zero Modality Gap Na Min An*, Eunki Kim*, James Thorne, Hyunjung ShimACL 2025 Outstanding paper
Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part SegmentationJiho Choi*, Seonho Lee*, Minhyun Lee, Seungho Lee, Hyunjung ShimCVPR 2025
Classifier-guided CLIP Distillation for Unsupervised Multi-label ClassificationDongseob Kim, Hyunjung ShimCVPR 2025
No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse WeatherJunsung Park, Hwijeong Lee, Inha Kang, Hyunjung ShimCVPR 2025
DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion ModelsHyogon Ryu, NaHyeon Park, Hyunjung ShimICLR 2025
DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity PreservationJiwook Kim*, Seonho Lee*, Jaeyo Shin, Jiho Choi, Hyunjung ShimICLR 2025
Label-Augmented Dataset Distillation Seoungyoon Kang*, Youngsun Lim*, Hyunjung ShimWACV 2025 Oral
Evaluating Image Hallucination in Text-to-Image Generation with Question-AnsweringYoungsun Lim*, Hojun Choi*, Hyunjung ShimAAAI 2025 Oral
2024
2024
Understanding Multi-Granularity for Open-Vocabulary Part SegmentationJiho Choi*, Seonho Lee*, Seungho Lee, Minhyun Lee, Hyunjung ShimNeurIPS 2024
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse WeatherJunsung Park, Kyungmin Kim, Hyunjung ShimECCV 2024 Oral
SeiT++: Masked Token Modeling Improves Storage-efficient Training Minhyun Lee*, Song Park*, Byeongho Heo, Dongyoon Han, Hyunjung ShimECCV 2024
Memory-Efficient Fine-Tuning for Quantized Diffusion Model Hyogon Ryu, Seohyun Lim, Hyunjung ShimECCV 2024
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic SegmentationSeungho Lee, Hwijeong Lee, Hyunjung ShimIROS 2024 Oral
Locally Conditioned GANs: Self-supervised Local Patch Representation Learning for Conditional Generation
Dongseob Kim, Hyunjung Shim
IEEE Access 2024
Preventing Image Hallucination in Text-to-Image Generation through Factual Image Retrieval Youngsun Lim, Hyunjung ShimIJCAI TIDMwFM 2024.
Adapting Low-Dose CT Denoisers for Texture Preservation using Zero-Shot Local Noise-level MatchingYoungjun Ko*, Seongjong Song*, Jongduk Baek, Hyunjung Shim (* indicates an equal contribution)Medical Physics (MP), 2024
Weakly Supervised Semantic Segmentation for Driving ScenesDongseob Kim*, Seungho Lee*, Junsuk Choe, Hyunjung ShimAAAI 2024
Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect LabelsSeungho Lee*, Seoungyoon Kang*, Hyunjung ShimThe 38th Annual AAAI Conference on Artificial Intelligence Workshops on The 3rd Edge Intelligence Workshop on Large Language and Vision Models (AAAIW), 2024
Precision matters: Precision-aware ensemble for weakly supervised semantic segmentationJunsung Park, Hyunjung ShimThe 38th Annual AAAI Conference on Artificial Intelligence Workshops on The 3rd Edge Intelligence Workshop on Large Language and Vision Models (AAAIW), 2024
Local Expert Diffusion Models for Efficient Training in Denoising Diffusion Probabilistic ModelsSeoungyoon Kang*, Yunji Jung*, Hyunjung ShimThe 38th Annual AAAI Conference on Artificial Intelligence Workshops on Sustainable AI (AAAIW), 2024
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse WeatherJunsung Park, Kyungmin Kim, Hyunjung ShimECCV 2024 Oral
SeiT++: Masked Token Modeling Improves Storage-efficient Training Minhyun Lee*, Song Park*, Byeongho Heo, Dongyoon Han, Hyunjung ShimECCV 2024
Memory-Efficient Fine-Tuning for Quantized Diffusion Model Hyogon Ryu, Seohyun Lim, Hyunjung ShimECCV 2024
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic SegmentationSeungho Lee, Hwijeong Lee, Hyunjung ShimIROS 2024 Oral
Locally Conditioned GANs: Self-supervised Local Patch Representation Learning for Conditional Generation
Dongseob Kim, Hyunjung Shim
IEEE Access 2024
Preventing Image Hallucination in Text-to-Image Generation through Factual Image Retrieval Youngsun Lim, Hyunjung ShimIJCAI TIDMwFM 2024.
Adapting Low-Dose CT Denoisers for Texture Preservation using Zero-Shot Local Noise-level MatchingYoungjun Ko*, Seongjong Song*, Jongduk Baek, Hyunjung Shim (* indicates an equal contribution)Medical Physics (MP), 2024
Weakly Supervised Semantic Segmentation for Driving ScenesDongseob Kim*, Seungho Lee*, Junsuk Choe, Hyunjung ShimAAAI 2024
Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect LabelsSeungho Lee*, Seoungyoon Kang*, Hyunjung ShimThe 38th Annual AAAI Conference on Artificial Intelligence Workshops on The 3rd Edge Intelligence Workshop on Large Language and Vision Models (AAAIW), 2024
Precision matters: Precision-aware ensemble for weakly supervised semantic segmentationJunsung Park, Hyunjung ShimThe 38th Annual AAAI Conference on Artificial Intelligence Workshops on The 3rd Edge Intelligence Workshop on Large Language and Vision Models (AAAIW), 2024
Local Expert Diffusion Models for Efficient Training in Denoising Diffusion Probabilistic ModelsSeoungyoon Kang*, Yunji Jung*, Hyunjung ShimThe 38th Annual AAAI Conference on Artificial Intelligence Workshops on Sustainable AI (AAAIW), 2024
2023
2023
Saliency as Pseudo-pixel Supervision for Weakly and Semi-supervised Semantic Segmentation M Lee*, S Lee*, J Lee, H Shim
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2023.
Entropy Regularization for Weakly Supervised Object LocalizationD Hwang, J-W. Ha, H Shim, J Choe, Pattern Recognition Letters (2023)
TADA: Timestep-Aware Data Augmentation for Diffusion ModelsN Park*, K Kim*, S Park, J Ha, H Shim
Neural Information Processing Systems Workshop on Diffusion Models (NeurIPSW), 2023
Your Lottery Ticket is Damaged: Towards All-Alive Pruning for Extremely Sparse NetworksD Kim, M Kim, H Shim, J LeeInformation Sciences (IS), 2023.
Utilization of an Attentive Map to Preserve Anatomical Features for Training Convolutional Neural Network based Low-dose CT Denoiser.
M Han, H Shim, J BaekMedical Physics (MP), 2023
CoMix: Collaborative Filtering with Mixup for Implicit Datasets
J Moon, Y Jeong, D-K Chae, J Choi, H Shim, J LeeInformation Sciences (IS), 2023.
Few-shoot Font Generation with Weakly Supervised Localized Representations S Park*, S Chun*, S Lee, J Cha, B Lee, H Shim
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2023.
F2RPC: Fake to Real Portrait Control from a Virtual Character S Kang, M Kim, H Shim
IEEE Access, 2023.
HybridMatch: Semi-supervised Facial Landmark Detection via Hybrid Heatmap Representations
S Kang*, M Lee*, M Kim, H Shim (* indicates an equal contribution)
IEEE Access, 2023.
2022
2022
Long-tail Mixup for Extreme Multi-label Classification S Han, E Choi, C Lim, J Lee, H Shim, J Lee
ACM International Conference on Information & Knowledge Management (CIKM), 2022.
A streak artifact reduction algorithm in sparse-view CT using a self-supervised neural representation B Kim, H Shim, J Baek
Medical Physics (MP), 2022. (Editor's Choice)
Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser
M Han, H Shim, J Baek
IEEE Access, 2022. (Accepted)
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets
J Choe*, S-J Oh*, S Chun, S Lee, Z Akata,, H Shim
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2022. (Accepted)
Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation
J-W Lee, M Choi, S Lee, H Shim, J Lee
Knowledge and Information Systems (KIS), 2022.
Logit Mixing Training for More Reliable and Accurate PredictionD Bang*, K Baek*, J Kim, Y Jeon, JH Kim, J Kim, J Lee, H Shim
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic DataK Baek, H Shim
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against ThresholdsM Lee*, D Kim*, H shim (* indicates an equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Learning from Better Supervision: Self-distillation for Learning with Noisy LabelsK Baek*, S Lee*, H Shim (* indicates an equal contribution)International Conference on Pattern Recognition (ICPR), 2022
Two-phase Learning-based 3D Deblurring Method for Digital Breast Tomosynthesis Images
Y Choi, M Han, H Jang, H Shim, J Baek
Plos One, 2022. (Accepted)
S-Walk: Accurate and Scalable Session-based Recommendation with Random WalksM Choi, J Kim, J Lee, H Shim, J LeeThe 15th ACM International Conference on Web Search and Data Mining (WSDM), 2022
ACM International Conference on Information & Knowledge Management (CIKM), 2022.
A streak artifact reduction algorithm in sparse-view CT using a self-supervised neural representation B Kim, H Shim, J Baek
Medical Physics (MP), 2022. (Editor's Choice)
Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser
M Han, H Shim, J Baek
IEEE Access, 2022. (Accepted)
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets
J Choe*, S-J Oh*, S Chun, S Lee, Z Akata,, H Shim
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2022. (Accepted)
Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation
J-W Lee, M Choi, S Lee, H Shim, J Lee
Knowledge and Information Systems (KIS), 2022.
Logit Mixing Training for More Reliable and Accurate PredictionD Bang*, K Baek*, J Kim, Y Jeon, JH Kim, J Kim, J Lee, H Shim
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic DataK Baek, H Shim
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against ThresholdsM Lee*, D Kim*, H shim (* indicates an equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Learning from Better Supervision: Self-distillation for Learning with Noisy LabelsK Baek*, S Lee*, H Shim (* indicates an equal contribution)International Conference on Pattern Recognition (ICPR), 2022
Two-phase Learning-based 3D Deblurring Method for Digital Breast Tomosynthesis Images
Y Choi, M Han, H Jang, H Shim, J Baek
Plos One, 2022. (Accepted)
S-Walk: Accurate and Scalable Session-based Recommendation with Random WalksM Choi, J Kim, J Lee, H Shim, J LeeThe 15th ACM International Conference on Web Search and Data Mining (WSDM), 2022
2021
2021
Knowledge Distillation Meets Recommendation: Collaborative Distillation for Top-N Recommendation J Lee, M Choi, H Shim, J Lee
Knowledge and Information Systems (KAIS), 2021.
Distilling from Professors: Enhancing the Knowledge Distillation of Teachers D Bang, J Lee and H Shim
Information Sciences (IS), 2021.
Low Dose CT Denoising via Convolutional Neural Network with an Observer Loss FunctionM Han , H Shim, J Baek
Medical Physics (MP), 2021.
Rethinking the Truly Unsupervised Image-to-Image TranslationK Baek, Y Choi, Y Uh, J Yoo, H Shim
International Conference on Computer Vision (ICCV), 2021.
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized ExpertsS Park, S Chun, J Cha, B Lee, H Shim
International Conference on Computer Vision (ICCV), 2021.
Knowledge and Information Systems (KAIS), 2021.
Distilling from Professors: Enhancing the Knowledge Distillation of Teachers D Bang, J Lee and H Shim
Information Sciences (IS), 2021.
Low Dose CT Denoising via Convolutional Neural Network with an Observer Loss FunctionM Han , H Shim, J Baek
Medical Physics (MP), 2021.
Rethinking the Truly Unsupervised Image-to-Image TranslationK Baek, Y Choi, Y Uh, J Yoo, H Shim
International Conference on Computer Vision (ICCV), 2021.
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized ExpertsS Park, S Chun, J Cha, B Lee, H Shim
International Conference on Computer Vision (ICCV), 2021.
Weakly-Supervised Progressive Denoising with Unpaired CT Images
B Kim, H Shim, J Baek Medical Image Analysis (MEDIA), 2021.Region-based Dropout with Attention Prior for Weakly Supervised Object Localization
J Choe, D Han, S Yun, J Ha, S Oh, H Shim Pattern recognition (PR), 2021.Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation
S Lee*, M Lee*, J Lee, H Shim. (* indicates an equal contribution)IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.Session-aware Linear Item-Item Models for Session-based Recommendation
M Choi, J Kim, J Lee, H Shim and J LeeThe Web Conference (WWW), 2021.Few-shot Font Generation with Localized Style Representations and Factorization
S Park*, S Chun*, J Cha, B Lee, H ShimAssociation for the Advancement of Artificial Intelligence (AAAI), 2021.2020
2020
Rigid and non-rigid motion artifact reduction in X-ray CT using attention module
Y Ko, S Moon, J Baek, H ShimMedical Image Analysis (MEDIA), 2020. (Accepted)GridMix: Strong Regularization Through Local Context Mapping
K Baek*, D Bang*, H Shim. (* indicates an equal contribution) Pattern Recognition (PR), 2020. (Accepted)Attention-based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation
J Choe*, S Lee*, H Shim. (* indicates an equal contribution)IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2020. (Accepted)Evaluating Weakly Supervised Object Localization Methods Right
J Choe*, S J Oh*, S Lee, S Chun, Z Akata, H Shim. (* indicates an equal contribution)IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020Discriminator Feature-based Inference by Recycling the Discriminator of GANs
D Bang*, S Kang*, H Shim (* indicates an equal contribution) International Journal of Computer Vision (IJCV), 2020.PsyNet: Self-supervised Object Localization using Point Symmetric Transformation
K Baek*, MH Lee*, H Shim (* indicates an equal contribution)Association for the Advancement of Artificial Intelligence (AAAI), 2020.Diversity Regularized Autoencoders for Text Generation
Hyeseon Ko, Junhyuk Lee, Jinhong Kim, Jongwuk Lee, Hyunjung Shim35th ACM/SIGAPP Symposium on Applied Computing (SAC), 2020.A convolutional neural network‐based model observer for breast CT images
G Kim, M Han, H Shim, J BaekMedical Physics (MP), 2020.2019
2019
Collaborative Distillation for Top-N RecommendationJ Lee, M Choi, J Lee, and H ShimIEEE International Conference on Data Mining (ICDM), Oral presentation, 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesS Yun, D Han, S J Oh, S Chun, J Choe, Y Yoo.International Conference on Computer Vision (ICCV), Oral presentation, 2019
A performance comparison of convolutional neural network‐based image denoising methods: The effect of loss functions on low‐dose CT imagesB Kim, M Han, H Shim, J BaekMedical Physics (MP), 2019
Attention-based Dropout Layer for Weakly Supervised Object LocalizationJ Choe, H ShimIEEE Conference on Computer Vision and Pattern Recognition (CVPR), Oral presentation, 2019
An Empirical Evaluation on Robustness and Uncertainty of Regularization MethodsS Chun, S J Oh, S Yun, D Han, J Choe, Y Yoo.International Conference on Machine Learning Workshop (ICMLW), 2019
Dual Neural Personalized RankingS Kim, J Lee, H ShimThe Web Conference 2019 (WWW), Oral presentation, 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesS Yun, D Han, S J Oh, S Chun, J Choe, Y Yoo.International Conference on Computer Vision (ICCV), Oral presentation, 2019
A performance comparison of convolutional neural network‐based image denoising methods: The effect of loss functions on low‐dose CT imagesB Kim, M Han, H Shim, J BaekMedical Physics (MP), 2019
Attention-based Dropout Layer for Weakly Supervised Object LocalizationJ Choe, H ShimIEEE Conference on Computer Vision and Pattern Recognition (CVPR), Oral presentation, 2019
An Empirical Evaluation on Robustness and Uncertainty of Regularization MethodsS Chun, S J Oh, S Yun, D Han, J Choe, Y Yoo.International Conference on Machine Learning Workshop (ICMLW), 2019
Semantic-Aware Neural Style Transfer
J Park, S Park, H ShimImage and Vision Computing, 2019Dual Neural Personalized RankingS Kim, J Lee, H ShimThe Web Conference 2019 (WWW), Oral presentation, 2019
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