Hyunjung Shim - RankMe

151 papers A* 25A 5B 3Misc 1Journal 93Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boosting Text Encoder for Personalized Text-to-Image Generation. Trans. Mach. Learn. Res. NaHyeon Park, Kunhee Kim, Hyunjung Shim
2026	J	`jnl`	Interpretable Debiasing of Vision-Language Models for Social Fairness. CoRR Na Min An, Yoonna Jang, Yusuke Hirota, Ryo Hachiuma, Isabelle Augenstein, Hyunjung Shim
2026	J	`jnl`	Representation Alignment for Just Image Transformers is not Easier than You Think. CoRR Jaeyo Shin, Jiwook Kim, Hyunjung Shim
2026	A*	`conf`	Rethinking Direct Preference Optimization in Diffusion Models. AAAI Junyong Kang, Seohyun Lim, Kyungjune Baek, Hyunjung Shim
2025	—	`conf`	3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation. EMNLP (Findings) Seonho Lee, Jiho Choi, Inha Kang, Jiwook Kim, Junsung Park, Hyunjung Shim
2025	J	`jnl`	3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation. CoRR Seonho Lee, Jiho Choi, Inha Kang, Jiwook Kim, Junsung Park, Hyunjung Shim
2025	J	`jnl`	Aligned but Stereotypical? The Hidden Influence of System Prompts on Social Bias in LVLM-Based Text-to-Image Models. CoRR NaHyeon Park, Na Min An, Kunhee Kim, Soyeon Yoon, Jiahao Huo, Hyunjung Shim
2025	A*	`conf`	Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification. CVPR Dongseob Kim, Hyunjung Shim
2025	J	`jnl`	Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification. CoRR Dongseob Kim, Hyunjung Shim
2025	J	`jnl`	CoPatch: Zero-Shot Referring Image Segmentation by Leveraging Untapped Spatial Knowledge in CLIP. CoRR Na Min An, Inha Kang, Minhyun Lee, Hyunjung Shim
2025	J	`jnl`	CoT-PL: Visual Chain-of-Thought Reasoning Meets Pseudo-Labeling for Open-Vocabulary Object Detection. CoRR Hojun Choi, Youngsun Lim, Jaeyo Shin, Hyunjung Shim
2025	A*	`conf`	DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models. ICLR Hyogon Ryu, NaHyeon Park, Hyunjung Shim
2025	J	`jnl`	DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models. CoRR Hyogon Ryu, NaHyeon Park, Hyunjung Shim
2025	J	`jnl`	Directional Textual Inversion for Personalized Text-to-Image Generation. CoRR Kunhee Kim, NaHyeon Park, Kibeom Hong, Hyunjung Shim
2025	A*	`conf`	DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation. ICLR Jiwook Kim, Seonho Lee, Jaeyo Shin, Jiho Choi, Hyunjung Shim
2025	A*	`conf`	Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering. AAAI Youngsun Lim, Hojun Choi, Hyunjung Shim
2025	A*	`conf`	Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation. CVPR Jiho Choi, Seonho Lee, Minhyun Lee, Seungho Lee, Hyunjung Shim
2025	J	`jnl`	Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation. CoRR Jiho Choi, Seonho Lee, Minhyun Lee, Seungho Lee, Hyunjung Shim
2025	—	`conf`	I0T: Embedding Standardization Method Towards Zero Modality Gap. ACL (1) Na Min An, Eunki Kim, James Thorne, Hyunjung Shim
2025	A	`conf`	Label-Augmented Dataset Distillation. WACV Seoungyoon Kang, Youngsun Lim, Hyunjung Shim
2025	J	`jnl`	MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation. Trans. Mach. Learn. Res. Minhyun Lee, Seungho Lee, Song Park, Dongyoon Han, Byeongho Heo, Hyunjung Shim
2025	J	`jnl`	Multi-Objective Task-Aware Predictor for Image-Text Alignment. CoRR Eunki Kim, Na Min An, James Thorne, Hyunjung Shim
2025	A*	`conf`	No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather. CVPR Junsung Park, Hwijeong Lee, Inha Kang, Hyunjung Shim
2025	J	`jnl`	No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather. CoRR Junsung Park, Hwijeong Lee, Inha Kang, Hyunjung Shim
2025	J	`jnl`	PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation. CoRR Jiho Choi, Seojeong Park, Seongjong Song, Hyunjung Shim
2025	J	`jnl`	Prompt the Unseen: Evaluating Visual-Language Alignment Beyond Supervision. CoRR Raehyuk Jung, Seungjun Yu, Hyunjung Shim
2025	J	`jnl`	Real-Time Long Horizon Air Quality Forecasting via Group-Relative Policy Optimization. CoRR Inha Kang, Eunki Kim, Wonjeong Ryu, Jaeyo Shin, Seungjun Yu, Yoon-Hee Kang, Seongeun Jeong, Eunhye Kim, Soontae Kim, Hyunjung Shim
2025	J	`jnl`	Rethinking Direct Preference Optimization in Diffusion Models. CoRR Junyong Kang, Seohyun Lim, Kyungjune Baek, Hyunjung Shim
2025	J	`jnl`	Rethinking the Use of Vision Transformers for AI-Generated Image Detection. CoRR NaHyeon Park, Kunhee Kim, Junsuk Choe, Hyunjung Shim
2025	J	`jnl`	Robust Driving QA through Metadata-Grounded Context and Task-Specific Prompts. CoRR Seungjun Yu, Junsung Park, Youngsun Lim, Hyunjung Shim
2025	J	`jnl`	SUPER-AD: Semantic Uncertainty-aware Planning for End-to-End Robust Autonomous Driving. CoRR Wonjeong Ryu, Seungjun Yu, Seokha Moon, Hojun Choi, Junsung Park, Jinkyu Kim, Hyunjung Shim
2025	J	`jnl`	Text optimization with latent inversion for non-rigid image editing. Pattern Recognit. Lett. Yunji Jung, Seokju Lee, Tair Djanibekov, Jong Chul Ye, Hyunjung Shim
2025	J	`jnl`	WaymoQA: A Multi-View Visual Question Answering Dataset for Safety-Critical Reasoning in Autonomous Driving. CoRR Seungjun Yu, Seonho Lee, Namho Kim, Jaeyo Shin, Junsung Park, Wonjeong Ryu, Raehyuk Jung, Hyunjung Shim
2025	J	`jnl`	What "Not" to Detect: Negation-Aware VLMs via Structured Reasoning and Token Merging. CoRR Inha Kang, Youngsun Lim, Seonho Lee, Jiho Choi, Junsuk Choe, Hyunjung Shim
2025	J	`jnl`	World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Models. CoRR Eunsu Kim, Junyeong Park, Na Min An, Junseong Kim, Hitesh Laxmichand Patel, Jiho Jin, Julia Kruk, Amit Agarwal, Srikant Panda, Fenal Ashokbhai Ilasariya, Hyunjung Shim, Alice Oh
2024	J	`jnl`	Addressing Image Hallucination in Text-to-Image Generation through Factual Image Retrieval. CoRR Youngsun Lim, Hyunjung Shim
2024	J	`jnl`	DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation. CoRR Jiwook Kim, Seonho Lee, Jaeyo Shin, Jiho Choi, Hyunjung Shim
2024	J	`jnl`	Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering. CoRR Youngsun Lim, Hojun Choi, Pin-Yu Chen, Hyunjung Shim
2024	J	`jnl`	Few-Shot Font Generation With Weakly Supervised Localized Representations. IEEE Trans. Pattern Anal. Mach. Intell. Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
2024	J	`jnl`	I0T: Embedding Standardization Method Towards Zero Modality Gap. CoRR Na Min An, Eunki Kim, James Thorne, Hyunjung Shim
2024	J	`jnl`	Label-Augmented Dataset Distillation. CoRR Seoungyoon Kang, Youngsun Lim, Hyunjung Shim
2024	J	`jnl`	Latent Inversion with Timestep-aware Sampling for Training-free Non-rigid Editing. CoRR Yunji Jung, Seokju Lee, Tair Djanibekov, Hyunjung Shim, Jong Chul Ye
2024	A	`conf`	Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation. IROS Seungho Lee, Hwijeong Lee, Hyunjung Shim
2024	J	`jnl`	Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation. CoRR Seungho Lee, Hwijeong Lee, Hyunjung Shim
2024	J	`jnl`	Length-Aware DETR for Robust Moment Retrieval. CoRR Seojeong Park, Jiho Choi, Kyungjune Baek, Hyunjung Shim
2024	J	`jnl`	Locally Conditioned GANs: Self-Supervised Local Patch Representation Learning for Conditional Generation. IEEE Access Dongseob Kim, Hyunjung Shim
2024	J	`jnl`	MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation. CoRR Minhyun Lee, Seungho Lee, Song Park, Dongyoon Han, Byeongho Heo, Hyunjung Shim
2024	—	`conf`	Memory-Efficient Fine-Tuning for Quantized Diffusion Model. ECCV (16) Hyogon Ryu, Seohyun Lim, Hyunjung Shim
2024	J	`jnl`	Memory-Efficient Personalization using Quantized Diffusion Model. CoRR Hyogon Ryu, Seohyun Lim, Hyunjung Shim
2024	J	`jnl`	Precision matters: Precision-aware ensemble for weakly supervised semantic segmentation. CoRR Junsung Park, Hyunjung Shim
2024	—	`conf`	Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather. ECCV (16) Junsung Park, Kyungmin Kim, Hyunjung Shim
2024	J	`jnl`	Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather. CoRR Junsung Park, Kyungmin Kim, Hyunjung Shim
2024	J	`jnl`	Sampling Bag of Views for Open-Vocabulary Object Detection. CoRR Hojun Choi, Junsuk Choe, Hyunjung Shim
2024	J	`jnl`	Scribble-Guided Diffusion for Training-free Text-to-Image Generation. CoRR Seonho Lee, Jiho Choi, Seohyun Lim, Jiwook Kim, Hyunjung Shim
2024	—	`conf`	SeiT++: Masked Token Modeling Improves Storage-Efficient Training. ECCV (28) Minhyun Lee, Song Park, Byeongho Heo, Dongyoon Han, Hyunjung Shim
2024	J	`jnl`	Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels. CoRR Seungho Lee, Seoungyoon Kang, Hyunjung Shim
2024	J	`jnl`	TextBoost: Towards One-Shot Personalization of Text-to-Image Models via Fine-tuning Text Encoder. CoRR NaHyeon Park, Kunhee Kim, Hyunjung Shim
2024	A*	`conf`	Understanding Multi-Granularity for Open-Vocabulary Part Segmentation. NeurIPS Jiho Choi, Seonho Lee, Seungho Lee, Minhyun Lee, Hyunjung Shim
2024	J	`jnl`	Understanding Multi-Granularity for Open-Vocabulary Part Segmentation. CoRR Jiho Choi, Seonho Lee, Seungho Lee, Minhyun Lee, Hyunjung Shim
2024	A*	`conf`	Weakly Supervised Semantic Segmentation for Driving Scenes. AAAI Dongseob Kim, Seungho Lee, Junsuk Choe, Hyunjung Shim
2023	J	`jnl`	CoMix: Collaborative filtering with mixup for implicit datasets. Inf. Sci. Jaewan Moon, Yoonki Jeong, Dong-Kyu Chae, Jaeho Choi, Hyunjung Shim, Jongwuk Lee
2023	J	`jnl`	Entropy regularization for weakly supervised object localization. Pattern Recognit. Lett. Dongjun Hwang, Jung-Woo Ha, Hyunjung Shim, Junsuk Choe
2023	J	`jnl`	Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. IEEE Trans. Pattern Anal. Mach. Intell. Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Seungho Lee, Zeynep Akata, Hyunjung Shim
2023	J	`jnl`	F2RPC: Fake to Real Portrait Control From a Virtual Character. IEEE Access Seoungyoon Kang, Minjae Kim, Hyunjung Shim
2023	—	`conf`	F2RPC: Fake to Real Portrait Control from a Virtual Character. VR Workshops Seoungyoon Kang, Minjae Kim, Hyunjung Shim
2023	J	`jnl`	Forging Tokens for Improved Storage-efficient Training. CoRR Minhyun Lee, Song Park, Byeongho Heo, Dongyoon Han, Hyunjung Shim
2023	J	`jnl`	HybridMatch: Semi-Supervised Facial Landmark Detection via Hybrid Heatmap Representations. IEEE Access Seoungyoon Kang, Minhyun Lee, Minjae Kim, Hyunjung Shim
2023	J	`jnl`	Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Minhyun Lee, Seungho Lee, Jongwuk Lee, Hyunjung Shim
2023	J	`jnl`	Weakly Supervised Semantic Segmentation for Driving Scenes. CoRR Dongseob Kim, Seungho Lee, Junsuk Choe, Hyunjung Shim
2023	J	`jnl`	Your lottery ticket is damaged: Towards all-alive pruning for extremely sparse networks. Inf. Sci. DaeJin Kim, Min-Soo Kim, Hyunjung Shim, Jongwuk Lee
2022	—	`conf`	Cell Segmentation in Multi-modality High-Resolution Microscopy Images with Cellpose. Cell Segmentation Challenge @ NeurIPS Kwanyoung Lee, Hyungjo Byun, Hyunjung Shim
2022	A*	`conf`	Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data. CVPR Kyungjune Baek, Hyunjung Shim
2022	J	`jnl`	Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data. CoRR Kyungjune Baek, Hyunjung Shim
2022	J	`jnl`	Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation. Knowl. Inf. Syst. Jae-woong Lee, Minjin Choi, Lee Sael, Hyunjung Shim, Jongwuk Lee
2022	B	`conf`	Learning from Better Supervision: Self-distillation for Learning with Noisy Labels. ICPR Kyungjune Baek, Seungho Lee, Hyunjung Shim
2022	A*	`conf`	Logit Mixing Training for More Reliable and Accurate Prediction. IJCAI Duhyeon Bang, Kyungjune Baek, JiWoo Kim, Yunho Jeon, Jin-Hwa Kim, Jiwon Kim, Jongwuk Lee, Hyunjung Shim
2022	A	`conf`	Long-tail Mixup for Extreme Multi-label Classification. CIKM Sangwoo Han, Eunseong Choi, Chan Lim, Hyunjung Shim, Jongwuk Lee
2022	J	`jnl`	Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser. IEEE Access Minah Han, Hyunjung Shim, Jongduk Baek
2022	A	`conf`	S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks. WSDM Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee
2022	J	`jnl`	S-Walk: Accurate and Scalable Session-based Recommendationwith Random Walks. CoRR Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee
2022	A*	`conf`	Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds. CVPR Minhyun Lee, Dongseob Kim, Hyunjung Shim
2022	J	`jnl`	Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds. CoRR Minhyun Lee, Dongseob Kim, Hyunjung Shim
2021	J	`jnl`	Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Junsuk Choe, Seungho Lee, Hyunjung Shim
2021	J	`jnl`	Distilling from professors: Enhancing the knowledge distillation of teachers. Inf. Sci. Duhyeon Bang, Jongwuk Lee, Hyunjung Shim
2021	A*	`conf`	Few-shot Font Generation with Localized Style Representations and Factorization. AAAI Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
2021	J	`jnl`	Few-shot Font Generation with Weakly Supervised Localized Representations. CoRR Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
2021	J	`jnl`	GridMix: Strong regularization through local context mapping. Pattern Recognit. Kyungjune Baek, Duhyeon Bang, Hyunjung Shim
2021	—	`conf`	MGGAN: Solving Mode Collapse Using Manifold-Guided Training. ICCVW Duhyeon Bang, Hyunjung Shim
2021	A*	`conf`	Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts. ICCV Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
2021	J	`jnl`	Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts. CoRR Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
2021	A*	`conf`	Railroad Is Not a Train: Saliency As Pseudo-Pixel Supervision for Weakly Supervised Semantic Segmentation. CVPR Seungho Lee, Minhyun Lee, Jongwuk Lee, Hyunjung Shim
2021	J	`jnl`	Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation. CoRR Seungho Lee, Minhyun Lee, Jongwuk Lee, Hyunjung Shim
2021	J	`jnl`	Region-based dropout with attention prior for weakly supervised object localization. Pattern Recognit. Junsuk Choe, Dongyoon Han, Sangdoo Yun, Jung-Woo Ha, Seong Joon Oh, Hyunjung Shim
2021	A*	`conf`	Rethinking the Truly Unsupervised Image-to-Image Translation. ICCV Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim
2021	J	`jnl`	Rigid and non-rigid motion artifact reduction in X-ray CT using attention module. Medical Image Anal. Youngjun Ko, Seunghyuk Moon, Jongduk Baek, Hyunjung Shim
2021	A*	`conf`	Session-aware Linear Item-Item Models for Session-based Recommendation. WWW Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee
2021	J	`jnl`	Session-aware Linear Item-Item Models for Session-based Recommendation. CoRR Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee
2021	J	`jnl`	Weakly-supervised progressive denoising with unpaired CT images. Medical Image Anal. Byeongjoon Kim, Hyunjung Shim, Jongduk Baek
2020	J	`jnl`	Discriminator Feature-Based Inference by Recycling the Discriminator of GANs. Int. J. Comput. Vis. Duhyeon Bang, Seoungyoon Kang, Hyunjung Shim
2020	Misc	`conf`	Diversity regularized autoencoders for text generation. SAC Hyeseon Ko, Junhyuk Lee, Jinhong Kim, Jongwuk Lee, Hyunjung Shim
2020	A*	`conf`	Evaluating Weakly Supervised Object Localization Methods Right. CVPR Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
2020	J	`jnl`	Evaluating Weakly Supervised Object Localization Methods Right. CoRR Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
2020	J	`jnl`	Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. CoRR Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
2020	J	`jnl`	Few-shot Font Generation with Localized Style Representations and Factorization. CoRR Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim
2020	A*	`conf`	PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation. AAAI Kyungjune Baek, Minhyun Lee, Hyunjung Shim
2020	—	`conf`	Real-time Integrated Human Activity Recognition System based on Multimodal User Understanding. IUI Companion Jun-Ho Choi, Kyungmin Kim, Taejin Park, Junho Yun, Jong-Hwan Lee, Songkuk Kim, Hyunjung Shim, Jong-Seok Lee
2020	J	`jnl`	Rethinking the Truly Unsupervised Image-to-Image Translation. CoRR Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim
2019	A*	`conf`	Attention-Based Dropout Layer for Weakly Supervised Object Localization. CVPR Junsuk Choe, Hyunjung Shim
2019	J	`jnl`	Attention-based Dropout Layer for Weakly Supervised Object Localization. CoRR Junsuk Choe, Hyunjung Shim
2019	A*	`conf`	Collaborative Distillation for Top-N Recommendation. ICDM Jae-woong Lee, Minjin Choi, Jongwuk Lee, Hyunjung Shim
2019	J	`jnl`	Collaborative Distillation for Top-N Recommendation. CoRR Jae-woong Lee, Minjin Choi, Jongwuk Lee, Hyunjung Shim
2019	A*	`conf`	Dual Neural Personalized Ranking. WWW Seunghyeon Kim, Jongwuk Lee, Hyunjung Shim
2019	—	`conf`	Implementation of an ideal observer model using convolutional neural network for breast CT images. Image Perception, Observer Performance, and Technology Assessment Gihun Kim, Minah Han, Hyunjung Shim, Jongduk Baek
2019	J	`jnl`	Mismatched image identification using histogram of loop closure error for feature-based optical mapping. Int. J. Intell. Robotics Appl. Armagan Elibol, Nak Young Chong, Hyunjung Shim, Jinwhan Kim, Nuno Gracias, Rafael García
2019	J	`jnl`	Semantic-aware neural style transfer. Image Vis. Comput. Joo-Hyun Park, Song Park, Hyunjung Shim
2018	—	`conf`	Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera Using Deep Residual Networks. ACCV (5) Seongjong Song, Hyunjung Shim
2018	J	`jnl`	Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera using Deep Residual Networks. CoRR Seongjong Song, Hyunjung Shim
2018	—	`conf`	Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously. ACCV (1) Kyungjune Baek, Duhyeon Bang, Hyunjung Shim
2018	J	`jnl`	Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously. CoRR Kyungjune Baek, Duhyeon Bang, Hyunjung Shim
2018	—	`conf`	Feasibility study of deep convolutional generative adversarial networks to generate mammography images. Image Perception, Observer Performance, and Technology Assessment Gihun Kim, Hyunjung Shim, Jongduk Baek
2018	J	`jnl`	High Quality Bidirectional Generative Adversarial Networks. CoRR Duhyeon Bang, Hyunjung Shim
2018	J	`jnl`	Improved Techniques For Weakly-Supervised Object Localization. CoRR Junsuk Choe, Joo Hyun Park, Hyunjung Shim
2018	J	`jnl`	Improved Training of Generative Adversarial Networks Using Representative Features. CoRR Duhyeon Bang, Hyunjung Shim
2018	A*	`conf`	Improved Training of Generative Adversarial Networks using Representative Features. ICML Duhyeon Bang, Hyunjung Shim
2018	J	`jnl`	MGGAN: Solving Mode Collapse using Manifold Guided Training. CoRR Duhyeon Bang, Hyunjung Shim
2018	A	`conf`	Resembled Generative Adversarial Networks: Two Domains with Similar Attributes. BMVC Duhyeon Bang, Hyunjung Shim
2018	J	`jnl`	Resembled Generative Adversarial Networks: Two Domains with Similar Attributes. CoRR Duhyeon Bang, Hyunjung Shim
2018	J	`jnl`	Robust approach to inverse lighting using RGB-D images. Inf. Sci. Junsuk Choe, Hyunjung Shim
2018	A*	`conf`	Session details: Interactive Art. ACM Multimedia Hyunjung Shim
2018	J	`jnl`	Unsupervised Object Localization using Generative Adversarial Networks. CoRR Junsuk Choe, Joo Hyun Park, Hyunjung Shim
2017	—	`conf`	Face Generation for Low-Shot Learning Using Generative Adversarial Networks. ICCV Workshops Junsuk Choe, Song Park, Kyungmin Kim, Joo-Hyun Park, Dongseob Kim, Hyunjung Shim
2016	—	`conf`	Data-driven Approach to Aesthetic Enhancement. Image Processing: Machine Vision Applications Jihye Choi, Sungjoon Koh, Jong Woo Kwack, Yonghun Kwon, Hyunjung Shim
2016	J	`jnl`	Online underwater optical mapping for trajectories with gaps. Intell. Serv. Robotics Armagan Elibol, Hyunjung Shim, Seonghun Hong, Jinwhan Kim, Nuno Gracias, Rafael García
2016	J	`jnl`	Recovering Translucent Objects Using a Single Time-of-Flight Depth Camera. IEEE Trans. Circuits Syst. Video Technol. Hyunjung Shim, Seungkyu Lee
2015	—	`conf`	3D motion artifact compenstation in CT image with depth camera. Image Processing: Machine Vision Applications Youngjun Ko, Jongduk Baek, Hyunjung Shim
2015	—	`conf`	Depth image enhancement using perceptual texture priors. Human Vision and Electronic Imaging Duhyeon Bang, Hyunjung Shim
2015	—	`conf`	Developing a Visual Stopping Criterion for Image Mosaicing Using Invariant Color Histograms. PCM (2) Armagan Elibol, Hyunjung Shim
2015	—	`conf`	Inverse lighting for non-homogeneous objects from color and depth image using wavelet representation. Computational Imaging Junsuk Choe, Hyunjung Shim
2015	J	`jnl`	Skewed stereo time-of-flight camera for translucent object imaging. Image Vis. Comput. Seungkyu Lee, Hyunjung Shim
2012	—	`conf`	An example-based face relighting. ERVR Hyunjung Shim, Tsuhan Chen
2012	J	`jnl`	Automatic color realism enhancement for computer generated images. Comput. Graph. Hyunjung Shim, Seungkyu Lee
2012	A*	`conf`	Automatic color realism enhancement for virtual reality. VR Hyunjung Shim, Seungkyu Lee
2012	B	`conf`	Estimating all frequency lighting using a color/depth image. ICIP Hyunjung Shim
2012	—	`conf`	Light weight multiview capturing. CCNC Hyunjung Shim, Tsuhan Chen, Seungkyu Lee, James Dokyoon Kim, Changyeong Kim
2012	J	`jnl`	Probabilistic Approach to Realistic Face Synthesis With a Single Uncalibrated Image. IEEE Trans. Image Process. Hyunjung Shim
2012	J	`jnl`	Time-of-flight sensor and color camera calibration for multi-view acquisition. Vis. Comput. Hyunjung Shim, Rolf Adelsberger, James Dokyoon Kim, Seon-Min Rhee, Taehyun Rhee, Jae-Young Sim, Markus H. Gross, Changyeong Kim
2012	—	`conf`	ToF depth image motion blur detection using 3D blur shape models. Computational Imaging Seungkyu Lee, Hyunjung Shim, James D. K. Kim, Changyeong Kim
2010	B	`conf`	A probabilistic approach to realistic face synthesis. ICIP Hyunjung Shim, Inwoo Ha, Taehyun Rhee, James Dokyoon Kim, Changyeong Kim
2008	J	`jnl`	A Subspace Model-Based Approach to Face Relighting Under Unknown Lighting and Poses. IEEE Trans. Image Process. Hyunjung Shim, Jiebo Luo, Tsuhan Chen
2006	—	`conf`	Adaptive Environment Map for Relighting: Using Cameras and Projected Light. CVPR Workshops Hyunjung Shim, Tsuhan Chen
2005	—	`conf`	A statistical framework for image-based relighting. ICASSP (2) Hyunjung Shim, Tsuhan Chen