A statistical framework for image-based relighting. - Hyunjung Shim; Tsuhan Chen (ICASSP (2), 2005)

Adaptive Environment Map for Relighting: Using Cameras and Projected Light. - Hyunjung Shim; Tsuhan Chen (CVPR Workshops, 2006)

A Subspace Model-Based Approach to Face Relighting Under Unknown Lighting and Poses. - Hyunjung Shim; Jiebo Luo 001; Tsuhan Chen (IEEE Trans. Image Process., 2008)

A probabilistic approach to realistic face synthesis. - Hyunjung Shim; Inwoo Ha; Taehyun Rhee; James Dokyoon Kim; Changyeong Kim (ICIP, 2010)

Light weight multiview capturing. - Hyunjung Shim; Tsuhan Chen; Seungkyu Lee 001; James Dokyoon Kim; Changyeong Kim (CCNC, 2012)

ToF depth image motion blur detection using 3D blur shape models. - Seungkyu Lee 001; Hyunjung Shim; James D. K. Kim; Changyeong Kim (Computational Imaging, 2012)

An example-based face relighting. - Hyunjung Shim; Tsuhan Chen (ERVR, 2012)

Estimating all frequency lighting using a color/depth image. - Hyunjung Shim (ICIP, 2012)

Automatic color realism enhancement for virtual reality. - Hyunjung Shim; Seungkyu Lee 001 (VR, 2012)

Automatic color realism enhancement for computer generated images. - Hyunjung Shim; Seungkyu Lee 001 (Comput. Graph., 2012)

Probabilistic Approach to Realistic Face Synthesis With a Single Uncalibrated Image. - Hyunjung Shim (IEEE Trans. Image Process., 2012)

Time-of-flight sensor and color camera calibration for multi-view acquisition. - Hyunjung Shim; Rolf Adelsberger; James Dokyoon Kim; Seon-Min Rhee; Taehyun Rhee; Jae-Young Sim; Markus H. Gross; Changyeong Kim (Vis. Comput., 2012)

Inverse lighting for non-homogeneous objects from color and depth image using wavelet representation. - Junsuk Choe; Hyunjung Shim (Computational Imaging, 2015)

3D motion artifact compenstation in CT image with depth camera. - Youngjun Ko; Jongduk Baek; Hyunjung Shim (Image Processing: Machine Vision Applications, 2015)

Depth image enhancement using perceptual texture priors. - Duhyeon Bang; Hyunjung Shim (Human Vision and Electronic Imaging, 2015)

Developing a Visual Stopping Criterion for Image Mosaicing Using Invariant Color Histograms. - Armagan Elibol; Hyunjung Shim (PCM (2), 2015)

Skewed stereo time-of-flight camera for translucent object imaging. - Seungkyu Lee 001; Hyunjung Shim (Image Vis. Comput., 2015)

Data-driven Approach to Aesthetic Enhancement. - Jihye Choi; Sungjoon Koh; Jong Woo Kwack; Yonghun Kwon; Hyunjung Shim (Image Processing: Machine Vision Applications, 2016)

Online underwater optical mapping for trajectories with gaps. - Armagan Elibol; Hyunjung Shim; Seonghun Hong 002; Jinwhan Kim; Nuno Gracias; Rafael García (Intell. Serv. Robotics, 2016)

Recovering Translucent Objects Using a Single Time-of-Flight Depth Camera. - Hyunjung Shim; Seungkyu Lee 001 (IEEE Trans. Circuits Syst. Video Technol., 2016)

Face Generation for Low-Shot Learning Using Generative Adversarial Networks. - Junsuk Choe; Song Park; Kyungmin Kim; Joo-Hyun Park; Dongseob Kim; Hyunjung Shim (ICCV Workshops, 2017)

Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously. - Kyungjune Baek; Duhyeon Bang; Hyunjung Shim (ACCV (1), 2018)

Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera Using Deep Residual Networks. - Seongjong Song; Hyunjung Shim (ACCV (5), 2018)

Resembled Generative Adversarial Networks: Two Domains with Similar Attributes. - Duhyeon Bang; Hyunjung Shim (BMVC, 2018)

Improved Training of Generative Adversarial Networks using Representative Features. - Duhyeon Bang; Hyunjung Shim (ICML, 2018)

Feasibility study of deep convolutional generative adversarial networks to generate mammography images. - Gihun Kim; Hyunjung Shim; Jongduk Baek (Image Perception, Observer Performance, and Technology Assessment, 2018)

Session details: Interactive Art. - Hyunjung Shim (ACM Multimedia, 2018)

Improved Techniques For Weakly-Supervised Object Localization. - Junsuk Choe; Joo Hyun Park; Hyunjung Shim (CoRR, 2018)

High Quality Bidirectional Generative Adversarial Networks. - Duhyeon Bang; Hyunjung Shim (CoRR, 2018)

Unsupervised Object Localization using Generative Adversarial Networks. - Junsuk Choe; Joo Hyun Park; Hyunjung Shim (CoRR, 2018)

Robust approach to inverse lighting using RGB-D images. - Junsuk Choe; Hyunjung Shim (Inf. Sci., 2018)

Attention-Based Dropout Layer for Weakly Supervised Object Localization. - Junsuk Choe; Hyunjung Shim (CVPR, 2019)

Collaborative Distillation for Top-N Recommendation. - Jae-woong Lee; Minjin Choi 001; Jongwuk Lee; Hyunjung Shim (ICDM, 2019)

Implementation of an ideal observer model using convolutional neural network for breast CT images. - Gihun Kim; Minah Han; Hyunjung Shim; Jongduk Baek (Image Perception, Observer Performance, and Technology Assessment, 2019)

Dual Neural Personalized Ranking. - Seunghyeon Kim; Jongwuk Lee; Hyunjung Shim (WWW, 2019)

Mismatched image identification using histogram of loop closure error for feature-based optical mapping. - Armagan Elibol; Nak Young Chong; Hyunjung Shim; Jinwhan Kim; Nuno Gracias; Rafael García (Int. J. Intell. Robotics Appl., 2019)

Semantic-aware neural style transfer. - Joo-Hyun Park; Song Park; Hyunjung Shim (Image Vis. Comput., 2019)

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

Evaluating Weakly Supervised Object Localization Methods Right. - Junsuk Choe; Seong Joon Oh; Seungho Lee; Sanghyuk Chun; Zeynep Akata; Hyunjung Shim (CVPR, 2020)

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 (IUI Companion, 2020)

Diversity regularized autoencoders for text generation. - Hyeseon Ko; Junhyuk Lee; Jinhong Kim; Jongwuk Lee; Hyunjung Shim (SAC, 2020)

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. - Junsuk Choe; Seong Joon Oh; Sanghyuk Chun; Zeynep Akata; Hyunjung Shim (CoRR, 2020)

Discriminator Feature-Based Inference by Recycling the Discriminator of GANs. - Duhyeon Bang; Seoungyoon Kang; Hyunjung Shim (Int. J. Comput. Vis., 2020)

Few-shot Font Generation with Localized Style Representations and Factorization. - Song Park; Sanghyuk Chun; Junbum Cha; Bado Lee; Hyunjung Shim (AAAI, 2021)

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

Rethinking the Truly Unsupervised Image-to-Image Translation. - Kyungjune Baek; Yunjey Choi; Youngjung Uh; Jaejun Yoo 001; 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 (ICCV, 2021)

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

Session-aware Linear Item-Item Models for Session-based Recommendation. - Minjin Choi 001; Jinhong Kim; Joonseok Lee; Hyunjung Shim; Jongwuk Lee (WWW, 2021)

Distilling from professors: Enhancing the knowledge distillation of teachers. - Duhyeon Bang; Jongwuk Lee; Hyunjung Shim (Inf. Sci., 2021)

Weakly-supervised progressive denoising with unpaired CT images. - Byeongjoon Kim; Hyunjung Shim; Jongduk Baek (Medical Image Anal., 2021)

Rigid and non-rigid motion artifact reduction in X-ray CT using attention module. - Youngjun Ko; Seunghyuk Moon; Jongduk Baek; Hyunjung Shim (Medical Image Anal., 2021)

Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation. - Junsuk Choe; Seungho Lee; Hyunjung Shim (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

GridMix: Strong regularization through local context mapping. - Kyungjune Baek; Duhyeon Bang; Hyunjung Shim (Pattern Recognit., 2021)

Region-based dropout with attention prior for weakly supervised object localization. - Junsuk Choe; Dongyoon Han; Sangdoo Yun; Jung-Woo Ha 001; Seong Joon Oh; Hyunjung Shim (Pattern Recognit., 2021)

Long-tail Mixup for Extreme Multi-label Classification. - Sangwoo Han; Eunseong Choi; Chan Lim; Hyunjung Shim; Jongwuk Lee (CIKM, 2022)

Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data. - Kyungjune Baek; 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 (CVPR, 2022)

Learning from Better Supervision: Self-distillation for Learning with Noisy Labels. - Kyungjune Baek; Seungho Lee; Hyunjung Shim (ICPR, 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 (IJCAI, 2022)

Cell Segmentation in Multi-modality High-Resolution Microscopy Images with Cellpose. - Kwanyoung Lee; Hyungjo Byun; Hyunjung Shim (Cell Segmentation Challenge @ NeurIPS, 2022)

S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks. - Minjin Choi 001; Jinhong Kim; Joonseok Lee; Hyunjung Shim; Jongwuk Lee (WSDM, 2022)

Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser. - Minah Han; Hyunjung Shim; Jongduk Baek (IEEE Access, 2022)

S-Walk: Accurate and Scalable Session-based Recommendationwith Random Walks. - Minjin Choi 001; Jinhong Kim; Joonseok Lee; Hyunjung Shim; Jongwuk Lee (CoRR, 2022)

Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation. - Jae-woong Lee; Minjin Choi 001; Lee Sael; Hyunjung Shim; Jongwuk Lee (Knowl. Inf. Syst., 2022)

F2RPC: Fake to Real Portrait Control From a Virtual Character. - Seoungyoon Kang; Minjae Kim; Hyunjung Shim (IEEE Access, 2023)

HybridMatch: Semi-Supervised Facial Landmark Detection via Hybrid Heatmap Representations. - Seoungyoon Kang; Minhyun Lee; Minjae Kim; Hyunjung Shim (IEEE Access, 2023)

Forging Tokens for Improved Storage-efficient Training. - Minhyun Lee; Song Park; Byeongho Heo; Dongyoon Han; Hyunjung Shim (CoRR, 2023)

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. - Junsuk Choe; Seong Joon Oh; Sanghyuk Chun; Seungho Lee; Zeynep Akata; Hyunjung Shim (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

CoMix: Collaborative filtering with mixup for implicit datasets. - Jaewan Moon; Yoonki Jeong; Dong-Kyu Chae; Jaeho Choi; Hyunjung Shim; Jongwuk Lee (Inf. Sci., 2023)

Entropy regularization for weakly supervised object localization. - Dongjun Hwang; Jung-Woo Ha 001; Hyunjung Shim; Junsuk Choe (Pattern Recognit. Lett., 2023)

Your lottery ticket is damaged: Towards all-alive pruning for extremely sparse networks. - Daejin Kim; Min-Soo Kim 002; Hyunjung Shim; Jongwuk Lee (Inf. Sci., 2023)

Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic Segmentation. - Minhyun Lee; Seungho Lee; Jongwuk Lee; Hyunjung Shim (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Weakly Supervised Semantic Segmentation for Driving Scenes. - Dongseob Kim; Seungho Lee; Junsuk Choe; Hyunjung Shim (AAAI, 2024)

SeiT++: Masked Token Modeling Improves Storage-Efficient Training. - Minhyun Lee; Song Park; Byeongho Heo; Dongyoon Han; Hyunjung Shim (ECCV (28), 2024)

Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather. - Junsung Park; Kyungmin Kim; Hyunjung Shim (ECCV (16), 2024)

Memory-Efficient Fine-Tuning for Quantized Diffusion Model. - Hyogon Ryu; Seohyun Lim; Hyunjung Shim (ECCV (16), 2024)

Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation. - Seungho Lee; Hwijeong Lee; Hyunjung Shim (IROS, 2024)

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

Locally Conditioned GANs: Self-Supervised Local Patch Representation Learning for Conditional Generation. - Dongseob Kim; Hyunjung Shim (IEEE Access, 2024)

Memory-Efficient Personalization using Quantized Diffusion Model. - Hyogon Ryu; Seohyun Lim; Hyunjung Shim (CoRR, 2024)

Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels. - Seungho Lee; Seoungyoon Kang; Hyunjung Shim (CoRR, 2024)

Latent Inversion with Timestep-aware Sampling for Training-free Non-rigid Editing. - Yunji Jung; Seokju Lee; Tair Djanibekov; Hyunjung Shim; Jong Chul Ye (CoRR, 2024)

Precision matters: Precision-aware ensemble for weakly supervised semantic segmentation. - Junsung Park; Hyunjung Shim (CoRR, 2024)

Addressing Image Hallucination in Text-to-Image Generation through Factual Image Retrieval. - Youngsun Lim; Hyunjung Shim (CoRR, 2024)

Scribble-Guided Diffusion for Training-free Text-to-Image Generation. - Seonho Lee; Jiho Choi; Seohyun Lim; Jiwook Kim; Hyunjung Shim (CoRR, 2024)

TextBoost: Towards One-Shot Personalization of Text-to-Image Models via Fine-tuning Text Encoder. - NaHyeon Park; Kunhee Kim; Hyunjung Shim (CoRR, 2024)

Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering. - Youngsun Lim; Hojun Choi; Pin-Yu Chen; Hyunjung Shim (CoRR, 2024)

MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation. - Minhyun Lee; Seungho Lee; Song Park; Dongyoon Han; Byeongho Heo; Hyunjung Shim (CoRR, 2024)

Sampling Bag of Views for Open-Vocabulary Object Detection. - Hojun Choi; Junsuk Choe; Hyunjung Shim (CoRR, 2024)

Length-Aware DETR for Robust Moment Retrieval. - Seojeong Park; Jiho Choi; Kyungjune Baek; Hyunjung Shim (CoRR, 2024)

Few-Shot Font Generation With Weakly Supervised Localized Representations. - Song Park; Sanghyuk Chun; Junbum Cha; Bado Lee; Hyunjung Shim (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

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

I0T: Embedding Standardization Method Towards Zero Modality Gap. - Na Min An; Eunki Kim; James Thorne; Hyunjung Shim (ACL (1), 2025)

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

Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification. - Dongseob Kim; 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 (CVPR, 2025)

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

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

Label-Augmented Dataset Distillation. - Seoungyoon Kang; Youngsun Lim; Hyunjung Shim (WACV, 2025)

Text optimization with latent inversion for non-rigid image editing. - Yunji Jung; Seokju Lee; Tair Djanibekov; Jong Chul Ye; Hyunjung Shim (Pattern Recognit. Lett., 2025)

Can LVLMs and Automatic Metrics Capture Underlying Preferences of Blind and Low-Vision Individuals for Navigational Aid? - Na Min An; Eunki Kim; Wan Ju Kang; Sangryul Kim; Hyunjung Shim; James Thorne (CoRR, 2025)

Rethinking Direct Preference Optimization in Diffusion Models. - Junyong Kang; Seohyun Lim; Kyungjune Baek; Hyunjung Shim (CoRR, 2025)

3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation. - Seonho Lee; Jiho Choi; Inha Kang; Jiwook Kim; Junsung Park; Hyunjung Shim (CoRR, 2025)