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2020 – today
- 2024
[j28]Dongseob Kim
, Hyunjung Shim:
Locally Conditioned GANs: Self-Supervised Local Patch Representation Learning for Conditional Generation. IEEE Access 12: 134115-134132 (2024)- [j27]Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim:
Few-Shot Font Generation With Weakly Supervised Localized Representations. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1479-1495 (2024) - [c46]Dongseob Kim, Seungho Lee, Junsuk Choe, Hyunjung Shim:
Weakly Supervised Semantic Segmentation for Driving Scenes. AAAI 2024: 2741-2749 - [c45]Minhyun Lee, Song Park, Byeongho Heo, Dongyoon Han, Hyunjung Shim:
SeiT++: Masked Token Modeling Improves Storage-Efficient Training. ECCV (28) 2024: 180-197 - [c44]Junsung Park, Kyungmin Kim, Hyunjung Shim:
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather. ECCV (16) 2024: 320-336 - [c43]Hyogon Ryu, Seohyun Lim, Hyunjung Shim:
Memory-Efficient Fine-Tuning for Quantized Diffusion Model. ECCV (16) 2024: 356-372 - [i36]Hyogon Ryu, Seohyun Lim, Hyunjung Shim:
Memory-Efficient Personalization using Quantized Diffusion Model. CoRR abs/2401.04339 (2024) - [i35]Seungho Lee, Seoungyoon Kang, Hyunjung Shim:
Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels. CoRR abs/2401.12535 (2024) - [i34]Yunji Jung, Seokju Lee, Tair Djanibekov, Hyunjung Shim, Jong Chul Ye:
Latent Inversion with Timestep-aware Sampling for Training-free Non-rigid Editing. CoRR abs/2402.08601 (2024) - [i33]Jiho Choi, Seonho Lee, Seungho Lee, Minhyun Lee, Hyunjung Shim:
Understanding Multi-Granularity for Open-Vocabulary Part Segmentation. CoRR abs/2406.11384 (2024) - [i32]Junsung Park, Hyunjung Shim:
Precision matters: Precision-aware ensemble for weakly supervised semantic segmentation. CoRR abs/2406.19638 (2024) - [i31]Junsung Park, Kyungmin Kim, Hyunjung Shim:
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather. CoRR abs/2407.02286 (2024) - [i30]Youngsun Lim, Hyunjung Shim:
Addressing Image Hallucination in Text-to-Image Generation through Factual Image Retrieval. CoRR abs/2407.10683 (2024) - [i29]Jiwook Kim, Seonho Lee, Jaeyo Shin, Jiho Choi, Hyunjung Shim:
DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation. CoRR abs/2407.11394 (2024) - [i28]Seonho Lee, Jiho Choi, Seohyun Lim, Jiwook Kim, Hyunjung Shim:
Scribble-Guided Diffusion for Training-free Text-to-Image Generation. CoRR abs/2409.08026 (2024) - [i27]NaHyeon Park, Kunhee Kim, Hyunjung Shim:
TextBoost: Towards One-Shot Personalization of Text-to-Image Models via Fine-tuning Text Encoder. CoRR abs/2409.08248 (2024) - [i26]Youngsun Lim, Hojun Choi, Pin-Yu Chen, Hyunjung Shim:
Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering. CoRR abs/2409.12784 (2024) - [i25]Seoungyoon Kang, Youngsun Lim, Hyunjung Shim:
Label-Augmented Dataset Distillation. CoRR abs/2409.16239 (2024) - [i24]Seungho Lee, Hwijeong Lee, Hyunjung Shim:
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation. CoRR abs/2410.06893 (2024) - 2023
- [j26]Seoungyoon Kang, Minhyun Lee, Minjae Kim, Hyunjung Shim:
HybridMatch: Semi-Supervised Facial Landmark Detection via Hybrid Heatmap Representations. IEEE Access 11: 26125-26135 (2023) - [j25]Seoungyoon Kang, Minjae Kim, Hyunjung Shim:
F2RPC: Fake to Real Portrait Control From a Virtual Character. IEEE Access 11: 92120-92134 (2023) - [j24]Jaewan Moon, Yoonki Jeong, Dong-Kyu Chae, Jaeho Choi, Hyunjung Shim, Jongwuk Lee:
CoMix: Collaborative filtering with mixup for implicit datasets. Inf. Sci. 628: 254-268 (2023) - [j23]Daejin Kim, Min-Soo Kim, Hyunjung Shim, Jongwuk Lee:
Your lottery ticket is damaged: Towards all-alive pruning for extremely sparse networks. Inf. Sci. 634: 608-620 (2023) - [j22]Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Seungho Lee, Zeynep Akata, Hyunjung Shim:
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1732-1748 (2023) - [j21]Minhyun Lee, Seungho Lee, Jongwuk Lee, Hyunjung Shim:
Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12341-12357 (2023) - [j20]Dongjun Hwang, Jung-Woo Ha, Hyunjung Shim, Junsuk Choe:
Entropy regularization for weakly supervised object localization. Pattern Recognit. Lett. 169: 1-7 (2023) - [c42]Seoungyoon Kang, Minjae Kim, Hyunjung Shim:
F2RPC: Fake to Real Portrait Control from a Virtual Character. VR Workshops 2023: 803-804 - [i23]Minhyun Lee, Song Park, Byeongho Heo, Dongyoon Han, Hyunjung Shim:
Forging Tokens for Improved Storage-efficient Training. CoRR abs/2312.10105 (2023) - [i22]Dongseob Kim, Seungho Lee, Junsuk Choe, Hyunjung Shim:
Weakly Supervised Semantic Segmentation for Driving Scenes. CoRR abs/2312.13646 (2023) - 2022
- [j19]Minah Han, Hyunjung Shim, Jongduk Baek:
Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser. IEEE Access 10: 62412-62422 (2022) - [j18]Jae-woong Lee, Minjin Choi, Lee Sael, Hyunjung Shim, Jongwuk Lee:
Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation. Knowl. Inf. Syst. 64(5): 1323-1348 (2022) - [c41]Sangwoo Han, Eunseong Choi, Chan Lim, Hyunjung Shim, Jongwuk Lee:
Long-tail Mixup for Extreme Multi-label Classification. CIKM 2022: 3998-4002 - [c40]Minhyun Lee, Dongseob Kim, Hyunjung Shim:
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds. CVPR 2022: 4320-4329 - [c39]Kyungjune Baek, Hyunjung Shim:
Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data. CVPR 2022: 7844-7854 - [c38]Kyungjune Baek, Seungho Lee, Hyunjung Shim:
Learning from Better Supervision: Self-distillation for Learning with Noisy Labels. ICPR 2022: 1829-1835 - [c37]Duhyeon Bang, Kyungjune Baek, Jiwoo Kim, Yunho Jeon, Jin-Hwa Kim, Jiwon Kim, Jongwuk Lee, Hyunjung Shim:
Logit Mixing Training for More Reliable and Accurate Prediction. IJCAI 2022: 2812-2819 - [c36]Kwanyoung Lee, Hyungjo Byun, Hyunjung Shim:
Cell Segmentation in Multi-modality High-Resolution Microscopy Images with Cellpose. Cell Segmentation Challenge @ NeurIPS 2022: 1-11 - [c35]Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee:
S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks. WSDM 2022: 150-160 - [i21]Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee:
S-Walk: Accurate and Scalable Session-based Recommendationwith Random Walks. CoRR abs/2201.01091 (2022) - [i20]Minhyun Lee, Dongseob Kim, Hyunjung Shim:
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds. CoRR abs/2203.16045 (2022) - [i19]Kyungjune Baek, Hyunjung Shim:
Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data. CoRR abs/2204.04950 (2022) - 2021
- [j17]Duhyeon Bang, Jongwuk Lee, Hyunjung Shim:
Distilling from professors: Enhancing the knowledge distillation of teachers. Inf. Sci. 576: 743-755 (2021) - [j16]Youngjun Ko, Seunghyuk Moon, Jongduk Baek, Hyunjung Shim:
Rigid and non-rigid motion artifact reduction in X-ray CT using attention module. Medical Image Anal. 67: 101883 (2021) - [j15]Byeongjoon Kim, Hyunjung Shim, Jongduk Baek:
Weakly-supervised progressive denoising with unpaired CT images. Medical Image Anal. 71: 102065 (2021) - [j14]Junsuk Choe, Seungho Lee, Hyunjung Shim:
Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4256-4271 (2021) - [j13]Kyungjune Baek, Duhyeon Bang, Hyunjung Shim:
GridMix: Strong regularization through local context mapping. Pattern Recognit. 109: 107594 (2021) - [j12]Junsuk Choe, Dongyoon Han, Sangdoo Yun, Jung-Woo Ha, Seong Joon Oh, Hyunjung Shim:
Region-based dropout with attention prior for weakly supervised object localization. Pattern Recognit. 116: 107949 (2021) - [c34]Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim:
Few-shot Font Generation with Localized Style Representations and Factorization. AAAI 2021: 2393-2402 - [c33]Seungho Lee, Minhyun Lee, Jongwuk Lee, Hyunjung Shim:
Railroad Is Not a Train: Saliency As Pseudo-Pixel Supervision for Weakly Supervised Semantic Segmentation. CVPR 2021: 5495-5505 - [c32]Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim:
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts. ICCV 2021: 13880-13889 - [c31]Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim:
Rethinking the Truly Unsupervised Image-to-Image Translation. ICCV 2021: 14134-14143 - [c30]Duhyeon Bang, Hyunjung Shim:
MGGAN: Solving Mode Collapse Using Manifold-Guided Training. ICCVW 2021: 2347-2356 - [c29]Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee:
Session-aware Linear Item-Item Models for Session-based Recommendation. WWW 2021: 2186-2197 - [i18]Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee:
Session-aware Linear Item-Item Models for Session-based Recommendation. CoRR abs/2103.16104 (2021) - [i17]Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim:
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts. CoRR abs/2104.00887 (2021) - [i16]Seungho Lee, Minhyun Lee, Jongwuk Lee, Hyunjung Shim:
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation. CoRR abs/2105.08965 (2021) - [i15]Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim:
Few-shot Font Generation with Weakly Supervised Localized Representations. CoRR abs/2112.11895 (2021) - 2020
- [j11]Duhyeon Bang, Seoungyoon Kang, Hyunjung Shim:
Discriminator Feature-Based Inference by Recycling the Discriminator of GANs. Int. J. Comput. Vis. 128(10): 2436-2458 (2020) - [c28]Kyungjune Baek, Minhyun Lee, Hyunjung Shim:
PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation. AAAI 2020: 10451-10459 - [c27]Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluating Weakly Supervised Object Localization Methods Right. CVPR 2020: 3130-3139 - [c26]Jun-Ho Choi, Kyungmin Kim, Taejin Park, Junho Yun, Jong-Hwan Lee, Songkuk Kim, Hyunjung Shim, Jong-Seok Lee:
Real-time Integrated Human Activity Recognition System based on Multimodal User Understanding. IUI Companion 2020: 89-90 - [c25]Hyeseon Ko, Junhyuk Lee, Jinhong Kim, Jongwuk Lee, Hyunjung Shim:
Diversity regularized autoencoders for text generation. SAC 2020: 883-891 - [i14]Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluating Weakly Supervised Object Localization Methods Right. CoRR abs/2001.07437 (2020) - [i13]Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim:
Rethinking the Truly Unsupervised Image-to-Image Translation. CoRR abs/2006.06500 (2020) - [i12]Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. CoRR abs/2007.04178 (2020) - [i11]Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim:
Few-shot Font Generation with Localized Style Representations and Factorization. CoRR abs/2009.11042 (2020)
2010 – 2019
- 2019
- [j10]Armagan Elibol, Nak Young Chong, Hyunjung Shim, Jinwhan Kim, Nuno Gracias, Rafael García:
Mismatched image identification using histogram of loop closure error for feature-based optical mapping. Int. J. Intell. Robotics Appl. 3(2): 196-206 (2019) - [j9]Joo-Hyun Park, Song Park, Hyunjung Shim:
Semantic-aware neural style transfer. Image Vis. Comput. 87: 13-23 (2019) - [c24]Junsuk Choe, Hyunjung Shim:
Attention-Based Dropout Layer for Weakly Supervised Object Localization. CVPR 2019: 2219-2228 - [c23]Jae-woong Lee, Minjin Choi, Jongwuk Lee, Hyunjung Shim:
Collaborative Distillation for Top-N Recommendation. ICDM 2019: 369-378 - [c22]Gihun Kim, Minah Han, Hyunjung Shim, Jongduk Baek:
Implementation of an ideal observer model using convolutional neural network for breast CT images. Image Perception, Observer Performance, and Technology Assessment 2019: 109520L - [c21]Seunghyeon Kim, Jongwuk Lee, Hyunjung Shim:
Dual Neural Personalized Ranking. WWW 2019: 863-873 - [i10]Junsuk Choe, Hyunjung Shim:
Attention-based Dropout Layer for Weakly Supervised Object Localization. CoRR abs/1908.10028 (2019) - [i9]Jae-woong Lee, Minjin Choi, Jongwuk Lee, Hyunjung Shim:
Collaborative Distillation for Top-N Recommendation. CoRR abs/1911.05276 (2019) - 2018
- [j8]Junsuk Choe, Hyunjung Shim:
Robust approach to inverse lighting using RGB-D images. Inf. Sci. 438: 73-94 (2018) - [c20]Kyungjune Baek, Duhyeon Bang, Hyunjung Shim:
Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously. ACCV (1) 2018: 39-55 - [c19]Seongjong Song, Hyunjung Shim:
Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera Using Deep Residual Networks. ACCV (5) 2018: 641-657 - [c18]Duhyeon Bang, Hyunjung Shim:
Resembled Generative Adversarial Networks: Two Domains with Similar Attributes. BMVC 2018: 224 - [c17]Duhyeon Bang, Hyunjung Shim:
Improved Training of Generative Adversarial Networks using Representative Features. ICML 2018: 442-451 - [c16]Gihun Kim, Hyunjung Shim, Jongduk Baek:
Feasibility study of deep convolutional generative adversarial networks to generate mammography images. Image Perception, Observer Performance, and Technology Assessment 2018: 105771C - [c15]Hyunjung Shim:
Session details: Interactive Art. ACM Multimedia 2018 - [i8]Duhyeon Bang, Hyunjung Shim:
Improved Training of Generative Adversarial Networks Using Representative Features. CoRR abs/1801.09195 (2018) - [i7]Junsuk Choe, Joo Hyun Park, Hyunjung Shim:
Improved Techniques For Weakly-Supervised Object Localization. CoRR abs/1802.07888 (2018) - [i6]Duhyeon Bang, Hyunjung Shim:
MGGAN: Solving Mode Collapse using Manifold Guided Training. CoRR abs/1804.04391 (2018) - [i5]Duhyeon Bang, Hyunjung Shim:
High Quality Bidirectional Generative Adversarial Networks. CoRR abs/1805.10717 (2018) - [i4]Junsuk Choe, Joo Hyun Park, Hyunjung Shim:
Unsupervised Object Localization using Generative Adversarial Networks. CoRR abs/1806.00236 (2018) - [i3]Duhyeon Bang, Hyunjung Shim:
Resembled Generative Adversarial Networks: Two Domains with Similar Attributes. CoRR abs/1807.00947 (2018) - [i2]Kyungjune Baek, Duhyeon Bang, Hyunjung Shim:
Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously. CoRR abs/1807.07700 (2018) - [i1]Seongjong Song, Hyunjung Shim:
Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera using Deep Residual Networks. CoRR abs/1809.10917 (2018) - 2017
- [c14]Junsuk Choe, Song Park, Kyungmin Kim, Joo-Hyun Park, Dongseob Kim, Hyunjung Shim:
Face Generation for Low-Shot Learning Using Generative Adversarial Networks. ICCV Workshops 2017: 1940-1948 - 2016
- [j7]Armagan Elibol, Hyunjung Shim, Seonghun Hong, Jinwhan Kim, Nuno Gracias, Rafael García:
Online underwater optical mapping for trajectories with gaps. Intell. Serv. Robotics 9(3): 217-229 (2016) - [j6]Hyunjung Shim, Seungkyu Lee:
Recovering Translucent Objects Using a Single Time-of-Flight Depth Camera. IEEE Trans. Circuits Syst. Video Technol. 26(5): 841-854 (2016) - [c13]Jihye Choi, Sungjoon Koh, Jong Woo Kwack, Yonghun Kwon, Hyunjung Shim:
Data-driven Approach to Aesthetic Enhancement. Image Processing: Machine Vision Applications 2016: 1-5 - 2015
- [j5]Seungkyu Lee, Hyunjung Shim:
Skewed stereo time-of-flight camera for translucent object imaging. Image Vis. Comput. 43: 27-38 (2015) - [c12]Junsuk Choe, Hyunjung Shim:
Inverse lighting for non-homogeneous objects from color and depth image using wavelet representation. Computational Imaging 2015: 94010L - [c11]Youngjun Ko, Jongduk Baek, Hyunjung Shim:
3D motion artifact compenstation in CT image with depth camera. Image Processing: Machine Vision Applications 2015: 94050R - [c10]Duhyeon Bang, Hyunjung Shim:
Depth image enhancement using perceptual texture priors. Human Vision and Electronic Imaging 2015: 93941C - [c9]Armagan Elibol, Hyunjung Shim:
Developing a Visual Stopping Criterion for Image Mosaicing Using Invariant Color Histograms. PCM (2) 2015: 350-359 - 2012
- [j4]Hyunjung Shim, Seungkyu Lee:
Automatic color realism enhancement for computer generated images. Comput. Graph. 36(8): 966-973 (2012) - [j3]Hyunjung Shim:
Probabilistic Approach to Realistic Face Synthesis With a Single Uncalibrated Image. IEEE Trans. Image Process. 21(8): 3784-3793 (2012) - [j2]Hyunjung Shim, Rolf Adelsberger, James Dokyoon Kim, Seon-Min Rhee, Taehyun Rhee, Jae-Young Sim, Markus H. Gross, Changyeong Kim:
Time-of-flight sensor and color camera calibration for multi-view acquisition. Vis. Comput. 28(12): 1139-1151 (2012) - [c8]Hyunjung Shim, Tsuhan Chen, Seungkyu Lee, James Dokyoon Kim, Changyeong Kim:
Light weight multiview capturing. CCNC 2012: 25-29 - [c7]Seungkyu Lee, Hyunjung Shim, James D. K. Kim, Changyeong Kim:
ToF depth image motion blur detection using 3D blur shape models. Computational Imaging 2012: 829615 - [c6]Hyunjung Shim, Tsuhan Chen:
An example-based face relighting. ERVR 2012: 82890B - [c5]Hyunjung Shim:
Estimating all frequency lighting using a color/depth image. ICIP 2012: 565-568 - [c4]Hyunjung Shim, Seungkyu Lee:
Automatic color realism enhancement for virtual reality. VR 2012: 59-60 - 2010
- [c3]Hyunjung Shim, Inwoo Ha, Taehyun Rhee, James Dokyoon Kim, Changyeong Kim:
A probabilistic approach to realistic face synthesis. ICIP 2010: 1817-1820
2000 – 2009
- 2008
- [j1]Hyunjung Shim, Jiebo Luo, Tsuhan Chen:
A Subspace Model-Based Approach to Face Relighting Under Unknown Lighting and Poses. IEEE Trans. Image Process. 17(8): 1331-1341 (2008) - 2006
- [c2]Hyunjung Shim, Tsuhan Chen:
Adaptive Environment Map for Relighting: Using Cameras and Projected Light. CVPR Workshops 2006: 1 - 2005
- [c1]Hyunjung Shim, Tsuhan Chen:
A statistical framework for image-based relighting. ICASSP (2) 2005: 1093-1096
Coauthor Index
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