Publications

Conference papers

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 DistillationSeoungyoon Kang*, Youngsun Lim*, Hyunjung Shim (* indicates an equal contribution)WACV 2025 Oral
Evaluating Image Hallucination in Text-to-Image Generation with Question-AnsweringY Lim*, H Choi*, H Shim (* indicates an equal contribution)AAAI 2025 Oral
Understanding Multi-Granularity for Open-Vocabulary Part SegmentationJiho Choi*, Seonho Lee*, Seungho Lee, Minhyun Lee, Hyunjung Shim (* indicates an equal contribution)NeurIPS 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 Shim (* indicates an equal contribution)ECCV 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
Preventing Image Hallucination in Text-to-Image Generation through Factual Image RetrievalYoungsun Lim, Hyunjung ShimIJCAI Workshop on Trustworthy Interactive Decision-Making with Foundation Models 2024
Weakly Supervised Semantic Segmentation for Driving ScenesDongseob Kim*, Seungho Lee*, Junsuk Choe, Hyunjung Shim (* indicates an equal contribution)AAAI 2024
Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect LabelsSeungho Lee*, Seoungyoon Kang*, Hyunjung Shim (* indicates an equal contribution)
The 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 Shim
The 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 Shim (* indicates an equal contribution)
The 38th Annual AAAI Conference on Artificial Intelligence Workshops on Sustainable AI (AAAIW), 2024
TADA: Timestep-Aware Data Augmentation for Diffusion ModelsNaHyeon Park*, Kunhee Kim*, Song Park, Jung-Woo Ha, Hyunjung Shim
Neural Information Processing Systems Workshop on Diffusion Models (NeurIPSW), 2023
F2RPC: Fake to Real Portrait Control from a Virtual Character S Kang, M Kim, H Shim
IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2023
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
Logit Mixing Training for More Reliable and Accurate PredictionD Bang*, K Baek*, J Kim, Y Jeon, JH Kim, J kim, J Lee, H Shim (* indicates an equal contribution)
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
S-Walk: Accurate and Scalable Session-based Recommendation with Random WalksM Choi, J Kim, J Lee, H Shim, J Lee International Conference on Web Search and Data Mining (WSDM), 2022. (Accepted)
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.

MGGAN: Solving Mode Collapse using Manifold-guided Training

D Bang, H Shim
International Conference on Computer Vision Workshop on More Exploration, Less Exploitation (MELEX) (ICCVW), 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 Lee
The 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), 2021IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2021
Evaluating Weakly Supervised Object Localization Methods Right
J Choe*, S J Oh*, S Lee, S Chun, Z Akata, H ShimIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Diversity Regularized Autoencoders for Text Generation
H Ko, J Lee, J Kim, J Lee, H Shim35th ACM/SIGAPP Symposium on Applied Computing (SAC), 2020
PsyNet: Self-supervised Object Localization using Point Symmetric Transformation
K Baek*, M H Lee*, H Shim (* indicates an equal contribution)Association for the Advancement of Artificial Intelligence (AAAI), 2020
Collaborative Distillation for Top-N Recommendation
J 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 Features
S Yun, D Han, S J Oh, S Chun, J Choe, Y Yoo.International Conference on Computer Vision (ICCV), Oral presentation, 2019
Attention-based Dropout Layer for Weakly Supervised Object Localization
J Choe, H ShimIEEE Conference on Computer Vision and Pattern Recognition (CVPR), Oral presentation, 2019
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
S Chun, S J Oh, S Yun, D Han, J Choe, Y Yoo.International Conference on Machine Learning Workshop (ICMLW), 2019
Dual Neural Personalized Ranking
S Kim, J Lee, H ShimThe Web Conference 2019 (WWW), Oral presentation, 2019
Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera using Deep Residual Networks
S Song, H Shim Asian Conference on Computer Vision (ACCV), 2018
Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously
K Baek, D Bang, H Shim Asian Conference on Computer Vision (ACCV), Oral presentation, 2018
Resembled Generative Adversarial Networks: Two Domains with Similar Attributes
D Bang, H Shim British Machine Vision Conference (BMVC), 2018
Improved Training of Generative Adversarial Networks using Representative FeaturesD Bang, H Shim IEEE International Conference on Machine Learning (ICML), 2018
Face Generation for Low-shot Learning using Generative Adversarial Networks
J Choe*, S Park*, K Kim*, J Park*, D Kim*, H Shim IEEE International Conference on Computer Vision Workshop (ICCVW), 2017
Data-driven Approach to Aesthetic Enhancement
J Choi, S Koh, J Kwack, Y Kwon, H Shim Electronic Imaging, 2016
Developing a Visual Stopping Criterion for Image Mosaicing using Invariant Color Histograms
A Elibol, H Shim Pacific Rim Conference on Multimedia, 2015
Inverse Lighting for Non-homogeneous Objects from Color and Depth Image using Wavelet Representation
J Choe, H Shim IS&T/SPIE Electronic Imaging, 2015
Depth Image Enhancement using Perceptual Texture PriorsD Bang, H Shim IS&T/SPIE Electronic Imaging, 2015
3D Motion Artifact Compensation in CT Image with Depth CameraY Ko, J Baek, H Shim IS&T/SPIE Electronic Imaging, 2015
Estimating All Frequency Lighting using a Color/Depth Image
Hyunjung ShimIEEE International Conference on Image Processing (ICIP), 2012
An Example-based Face RelightingH Shim, T Chen Proceedings of SPIE, 2012
Automatic Color Realism Enhancement for Virtual RealityH Shim, S Lee IEEE Virtual Reality (IEEE VR), 2012
Light Weight Multiview Capturing
H Shim, T Chen, S Lee, JD Kim, C Kim IEEE Consumer Communications and Networking Conference (CCNC), 2012
A Probabilistic Approach to Realistic Face Synthesis
H Shim, I Ha, T Rhee, JD Kim, C KimIEEE International Conference on Image Processing (ICIP), 2010
Adaptive Environment Map for Relighting: using Cameras and Projected Light
H Shim, T ChenIEEE Computer Vision and Pattern Recognition Workshop (CVPRW), 2006
A Statistical Framework for Image-based Relighting
H Shim, T ChenIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2005
Efficient Representation of Lighting Patterns for Image-based Relighting
H Shim, T ChenProc. Picture coding symposium (PCS), 2004

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