| 2026 | AAAI | Rethinking Direct Preference Optimization in Diffusion Models. | Junyong Kang, Seohyun Lim, Kyungjune Baek, Hyunjung Shim |
| 2026 | ACL | PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation. | Jiho Choi, Seojeong Park, Seongjong Song, Hyunjung Shim |
| 2026 | WACV | MomentMix Augmentation with Length-Aware DETR for Temporally Robust Moment Retrieval. | Seojeong Park, Jiho Choi, Kyungjune Baek, Hyunjung Shim |
| 2025 | AAAI | Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering. | Youngsun Lim, Hojun Choi, Hyunjung Shim |
| 2025 | ACL | I0T: Embedding Standardization Method Towards Zero Modality Gap. | Na Min An, Eunki Kim, James Thorne, Hyunjung Shim |
| 2025 | CVPR | Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation. | Jiho Choi, Seonho Lee, Minhyun Lee, Seungho Lee, Hyunjung Shim |
| 2025 | CVPR | Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification. | Dongseob Kim, Hyunjung Shim |
| 2025 | CVPR | No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather. | Junsung Park, Hwijeong Lee, Inha Kang, Hyunjung Shim |
| 2025 | EMNLP | 3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation. | Seonho Lee, Jiho Choi, Inha Kang, Jiwook Kim, Junsung Park, Hyunjung Shim |
| 2025 | ICIP | Scribble-Guided Diffusion for Training-Free Text-to-Image Generation. | Seonho Lee, Jiho Choi, Seohyun Lim, Jiwook Kim, Hyunjung Shim |
| 2025 | ICLR | DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation. | Jiwook Kim, Seonho Lee, Jaeyo Shin, Jiho Choi, Hyunjung Shim |
| 2025 | ICLR | DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models. | Hyogon Ryu, NaHyeon Park, Hyunjung Shim |
| 2025 | WACV | Label-Augmented Dataset Distillation. | Seoungyoon Kang, Youngsun Lim, Hyunjung Shim |
| 2024 | AAAI | Weakly Supervised Semantic Segmentation for Driving Scenes. | Dongseob Kim, Seungho Lee, Junsuk Choe, Hyunjung Shim |
| 2024 | ECCV | SeiT++: Masked Token Modeling Improves Storage-Efficient Training. | Minhyun Lee, Song Park, Byeongho Heo, Dongyoon Han, Hyunjung Shim |
| 2024 | ECCV | Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather. | Junsung Park, Kyungmin Kim, Hyunjung Shim |
| 2024 | ECCV | Memory-Efficient Fine-Tuning for Quantized Diffusion Model. | Hyogon Ryu, Seohyun Lim, Hyunjung Shim |
| 2024 | IROS | Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation. | Seungho Lee, Hwijeong Lee, Hyunjung Shim |
| 2023 | VR | F2RPC: Fake to Real Portrait Control from a Virtual Character. | Seoungyoon Kang, Minjae Kim, Hyunjung Shim |
| 2022 | CIKM | Long-tail Mixup for Extreme Multi-label Classification. | Sangwoo Han, Eunseong Choi, Chan Lim, Hyunjung Shim, Jongwuk Lee |
| 2022 | CVPR | Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data. | Kyungjune Baek, Hyunjung Shim |
| 2022 | CVPR | Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds. | Minhyun Lee, Dongseob Kim, Hyunjung Shim |
| 2022 | ICPR | Learning from Better Supervision: Self-distillation for Learning with Noisy Labels. | Kyungjune Baek, Seungho Lee, Hyunjung Shim |
| 2022 | IJCAI | 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 |
| 2022 | WSDM | S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks. | Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee |
| 2021 | AAAI | Few-shot Font Generation with Localized Style Representations and Factorization. | Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim |
| 2021 | CVPR | Railroad Is Not a Train: Saliency As Pseudo-Pixel Supervision for Weakly Supervised Semantic Segmentation. | Seungho Lee, Minhyun Lee, Jongwuk Lee, Hyunjung Shim |
| 2021 | ICCV | Rethinking the Truly Unsupervised Image-to-Image Translation. | Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim |
| 2021 | ICCV | Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts. | Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim |
| 2021 | WWW | Session-aware Linear Item-Item Models for Session-based Recommendation. | Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee |
| 2020 | AAAI | PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation. | Kyungjune Baek, Minhyun Lee, Hyunjung Shim |
| 2020 | CVPR | Evaluating Weakly Supervised Object Localization Methods Right. | Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim |
| 2020 | IUI | Real-time Integrated Human Activity Recognition System based on Multimodal User Understanding. | Jun-Ho Choi, Kyungmin Kim, Taejin Park, Junho Yun, Jong-Hwan Lee, Songkuk Kim, Hyunjung Shim, Jong-Seok Lee |
| 2020 | SAC | Diversity regularized autoencoders for text generation. | Hyeseon Ko, Junhyuk Lee, Jinhong Kim, Jongwuk Lee, Hyunjung Shim |
| 2019 | CVPR | Attention-Based Dropout Layer for Weakly Supervised Object Localization. | Junsuk Choe, Hyunjung Shim |
| 2019 | ICDM | Collaborative Distillation for Top-N Recommendation. | Jae-woong Lee, Minjin Choi, Jongwuk Lee, Hyunjung Shim |
| 2019 | WWW | Dual Neural Personalized Ranking. | Seunghyeon Kim, Jongwuk Lee, Hyunjung Shim |
| 2018 | ACCV | Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously. | Kyungjune Baek, Duhyeon Bang, Hyunjung Shim |
| 2018 | ACCV | Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera Using Deep Residual Networks. | Seongjong Song, Hyunjung Shim |
| 2018 | BMVC | Resembled Generative Adversarial Networks: Two Domains with Similar Attributes. | Duhyeon Bang, Hyunjung Shim |
| 2018 | ICML | Improved Training of Generative Adversarial Networks using Representative Features. | Duhyeon Bang, Hyunjung Shim |
| 2012 | ICIP | Estimating all frequency lighting using a color/depth image. | Hyunjung Shim |
| 2012 | VR | Automatic color realism enhancement for virtual reality. | Hyunjung Shim, Seungkyu Lee |
| 2010 | ICIP | A probabilistic approach to realistic face synthesis. | Hyunjung Shim, Inwoo Ha, Taehyun Rhee, James Dokyoon Kim, Changyeong Kim |
| 2006 | CVPR | Adaptive Environment Map for Relighting: Using Cameras and Projected Light. | Hyunjung Shim, Tsuhan Chen |
| 2005 | ICASSP | A statistical framework for image-based relighting. | Hyunjung Shim, Tsuhan Chen |