Shim, Hyunjung

26 publications

CVPR 2025 Classifier-Guided CLIP Distillation for Unsupervised Multi-Label Classification Dongseob Kim, Hyunjung Shim

ICLR 2025 DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models Hyogon Ryu, NaHyeon Park, Hyunjung Shim

ICLR 2025 DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation Jiwook Kim, Seonho Lee, Jaeyo Shin, Jiho Choi, Hyunjung Shim

AAAI 2025 Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering Youngsun Lim, Hojun Choi, Hyunjung Shim

CVPR 2025 Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation Jiho Choi, Seonho Lee, Minhyun Lee, Seungho Lee, Hyunjung Shim

WACV 2025 Label Augmented Dataset Distillation Seoungyoon Kang, Youngsun Lim, Hyunjung Shim

TMLR 2025 MaskRIS: Semantic Distortion-Aware Data Augmentation for Referring Image Segmentation Minhyun Lee, Seungho Lee, Song Park, Dongyoon Han, Byeongho Heo, Hyunjung Shim

CVPR 2025 No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather Junsung Park, Hwijeong Lee, Inha Kang, Hyunjung Shim

ECCV 2024 Memory-Efficient Fine-Tuning for Quantized Diffusion Model Hyogon Ryu, Seohyun Lim, Hyunjung Shim

ECCV 2024 Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather Junsung Park, Kyungmin Kim, Hyunjung Shim

ECCV 2024 SeiT++: Masked Token Modeling Improves Storage-Efficient Training Minhyun Lee, Song Park, Byeongho Heo, Dongyoon Han, Hyunjung Shim

NeurIPS 2024 Understanding Multi-Granularity for Open-Vocabulary Part Segmentation Jiho Choi, Seonho Lee, Seungho Lee, Minhyun Lee, Hyunjung Shim

AAAI 2024 Weakly Supervised Semantic Segmentation for Driving Scenes Dongseob Kim, Seungho Lee, Junsuk Choe, Hyunjung Shim

CVPR 2022 Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-Free Synthetic Data Kyungjune Baek, Hyunjung Shim

NeurIPSW 2022 Generic and Privacy-Free Synthetic Data Generation for Pretraining GANs Kyungjune Baek, Hyunjung Shim

IJCAI 2022 Logit Mixing Training for More Reliable and Accurate Prediction Duhyeon Bang, Kyungjune Baek, Jiwoo Kim, Yunho Jeon, Jin-Hwa Kim, Jiwon Kim, Jongwuk Lee, Hyunjung Shim

CVPR 2022 Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds Minhyun Lee, Dongseob Kim, Hyunjung Shim

AAAI 2021 Few-Shot Font Generation with Localized Style Representations and Factorization Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim

ICCVW 2021 MGGAN: Solving Mode Collapse Using Manifold-Guided Training Duhyeon Bang, Hyunjung Shim

ICCV 2021 Multiple Heads Are Better than One: Few-Shot Font Generation with Multiple Localized Experts Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim

CVPR 2021 Railroad Is Not a Train: Saliency as Pseudo-Pixel Supervision for Weakly Supervised Semantic Segmentation Seungho Lee, Minhyun Lee, Jongwuk Lee, Hyunjung Shim

ICCV 2021 Rethinking the Truly Unsupervised Image-to-Image Translation Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim

AAAI 2020 PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation Kyungjune Baek, Minhyun Lee, Hyunjung Shim

ICML 2018 Improved Training of Generative Adversarial Networks Using Representative Features Duhyeon Bang, Hyunjung Shim

ICCVW 2017 Face Generation for Low-Shot Learning Using Generative Adversarial Networks Junsuk Choe, Song Park, Kyungmin Kim, Joo-Hyun Park, Dongseob Kim, Hyunjung Shim

CVPRW 2006 Adaptive Environment mAP for Relighting: Using Cameras and Projected Light Hyunjung Shim, Tsuhan Chen