Showing results 1 to 60 of 68
A convolutional neural network-based model observer for breast CT images Kim, Gihun; Han, Minah; Shim, Hyunjung; Baek, Jongduk, MEDICAL PHYSICS, v.47, no.4, pp.1619 - 1632, 2020-04 |
A deeper convolutional neural network for denoising low-dose CT images Kim, Byeongjoon; Shim, Hyunjung; Baek, Jongduk, Medical Imaging 2018: Physics of Medical Imaging, SPIE, 2018-02 |
A performance comparison of convolutional neural network-based image denoising methods: The effect of loss functions on low-dose CT images Kim, Byeongjoon; Han, Minah; Shim, Hyunjung; Baek, Jongduk, MEDICAL PHYSICS, v.46, no.9, pp.3906 - 3923, 2019-09 |
A probabilistic approach to realistic face synthesis Shim, Hyunjung; Ha, Inwoo; Rhee, Taehyun; Kim, James Dokyoon; Kim, Changyeong, 2010 17th IEEE International Conference on Image Processing, ICIP 2010, pp.1817 - 1820, IEEE Signal Processing Society, 2010-09 |
A statistical framework for image-based relighting Shim, Hyunjung; Chen, Tsuhan, 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, pp.1093 - 1096, Institute of Electrical and Electronics Engineers Inc., 2005-03 |
A subspace model-based approach to face relighting under unknown lighting and poses Shim, Hyunjung; Luo, Jiebo; Chen, Tsuhan, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.17, no.8, pp.1331 - 1341, 2008-08 |
Adaptive environment map for relighting: Using cameras and projected light Shim, Hyunjung; Chen, Tsuhan, 2006 Conference on Computer Vision and Pattern Recognition Workshops, Institute of Electrical and Electronics Engineers Inc., 2006-06 |
An example-based face relighting Shim, Hyunjung; Chen, Tsuhan, The Engineering Reality of Virtual Reality 2012, SPIE, 2012-01 |
Attention-based dropout layer for weakly supervised object localization Choe, Junsuk; Shim, Hyunjung, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, pp.2214 - 2223, IEEE Computer Society, 2019-06 |
Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation Choe, Junsuk; Lee, Seungho; Shim, Hyunjung, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.43, no.12, pp.4256 - 4271, 2021-12 |
Automatic color realism enhancement for computer generated images Shim, Hyunjung; Lee, Seungkyu, COMPUTERS & GRAPHICS-UK, v.36, no.8, pp.966 - 973, 2012-12 |
Automatic color realism enhancement for virtual reality Shim, Hyunjung; Lee, Seungkyu, 19th IEEE Virtual Reality Conference, VR 2012, pp.59 - 60, IEEE Computer Society, 2012-03 |
Collaborative distillation for top-N recommendation Lee, Jae-Woong; Choi, Minjin; Lee, Jongwuk; Shim, Hyunjung, 19th IEEE International Conference on Data Mining, ICDM 2019, pp.369 - 378, Institute of Electrical and Electronics Engineers Inc., 2019-10 |
CoMix: Collaborative filtering with mixup for implicit datasets Moon, Jaewan; Jeong, Yoonki; Chae, Dong-Kyu; Choi, Jaeho; Shim, Hyunjung; Lee, Jongwuk, INFORMATION SCIENCES, v.628, pp.254 - 268, 2023-05 |
Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data Baek, Kyungjune; Shim, Hyunjung, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, pp.7844 - 7854, IEEE Computer Society, 2022-06-22 |
Depth image enhancement using perceptual texture priors Bang, Duhyeon; Shim, Hyunjung, Human Vision and Electronic Imaging XX, SPIE, 2015-02 |
Discriminator Feature-Based Inference by Recycling the Discriminator of GANs Bang, Duhyeon; Kang, Seoungyoon; Shim, Hyunjung, INTERNATIONAL JOURNAL OF COMPUTER VISION, v.128, no.10-11, pp.2436 - 2458, 2020-11 |
Distilling from professors: Enhancing the knowledge distillation of teachers Bang, Duhyeon; Lee, Jongwuk; Shim, Hyunjung, INFORMATION SCIENCES, v.576, pp.743 - 755, 2021-10 |
Diversity regularized autoencoders for text generation Ko, Hyeseon; Lee, Junhyuk; Kim, Jinhong; Lee, Jongwuk; Shim, Hyunjung, 35th Annual ACM Symposium on Applied Computing, SAC 2020, pp.883 - 891, Association for Computing Machinery, 2020-04 |
Dual neural personalized ranking Kim, Seunghyeon; Lee, Jongwuk; Shim, Hyunjung, 2019 World Wide Web Conference, WWW 2019, pp.863 - 873, Association for Computing Machinery, Inc, 2019-05 |
Entropy regularization for weakly supervised object localization Hwang, Dongjun; Ha, Jung-Woo; Shim, Hyunjung; Choe, Junsuk, PATTERN RECOGNITION LETTERS, v.169, pp.1 - 7, 2023-05 |
Estimating all frequency lighting using a color/depth image Shim, Hyunjung, 2012 19th IEEE International Conference on Image Processing, ICIP 2012, pp.565 - 568, IEEE Signal Processing Society, 2012-10 |
Evaluating weakly supervised object localization methods right Choe, Junsuk; Oh, Seong Joon; Lee, Seungho; Chun, Sanghyuk; Akata, Zeynep; Shim, Hyunjung, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, pp.3130 - 3139, IEEE Computer Society, 2020-06 |
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets Choe, Junsuk; Oh, Seong Joon; Chun, Sanghyuk; Lee, Seungho; Akata, Zeynep; Shim, Hyunjung, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.45, no.2, pp.1732 - 1748, 2023-02 |
F2RPC: Fake to Real Portrait Control from a Virtual Character Kang, Seoungyoon; Kim, Minjae; Shim, Hyunjung, 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023, pp.803 - 804, Institute of Electrical and Electronics Engineers Inc., 2023-03-26 |
F2RPC: Fake to Real Portrait Control From a Virtual Character Kang, Seoungyoon; Kim, Minjae; Shim, Hyunjung, IEEE ACCESS, v.11, pp.92120 - 92134, 2023 |
Face Generation for Low-Shot Learning Using Generative Adversarial Networks Choe, Junsuk; Park, Song; Kim, Kyungmin; Park, Joo Hyun; Kim, Dongseob; Shim, Hyunjung, 16th IEEE International Conference on Computer Vision Workshops, ICCVW 2017, pp.1940 - 1948, Institute of Electrical and Electronics Engineers Inc., 2017-10-28 |
Faces as light probes for relighting Shim, Hyunjung, OPTICAL ENGINEERING, v.51, no.7, 2012-07 |
Feasibility study of deep convolutional generative adversarial networks to generate mammography images Kim, Gihun; Shim, Hyunjung; Baek, Jongduk, Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, SPIE, 2018-10 |
Few-shot Font Generation with Localized Style Representations and Factorization Park, Song; Chun, Sanghyuk; Cha, Junbum; Lee, Bado; Shim, Hyunjung, 35th AAAI Conference on Artificial Intelligence, AAAI 2021, pp.2393 - 2402, Association for the Advancement of Artificial Intelligence, 2021-02 |
GridMix: Strong regularization through local context mapping Baek, Kyungjune; Bang, Duhyeon; Shim, Hyunjung, PATTERN RECOGNITION, v.109, 2021-01 |
Hybrid exposure for depth imaging of a time-of-flight depth sensor Shim, Hyunjung; Lee, Seungkyu, OPTICS EXPRESS, v.22, no.11, pp.13393 - 13402, 2014-06 |
HybridMatch: Semi-Supervised Facial Landmark Detection via Hybrid Heatmap Representations Kang, Seoungyoon; Lee, Minhyun; Kim, Minjae; Shim, Hyunjung, IEEE ACCESS, v.11, pp.26125 - 26135, 2023 |
Image Quality Enhancement of Digital Breast Tomosynthesis Images by Deblurring with Deep Residual Convolutional Neural Network Choi, Yunsu; Shim, Hyunjung; Baek, Jongduk, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018, Institute of Electrical and Electronics Engineers Inc., 2018-11 |
Implementation of an ideal observer model using convolutional neural network for breast CT images Kim, Gihun; Han, Minah; Shim, Hyunjung; Baek, Jongduk, Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment, SPIE, 2019-02 |
Improved training of generative adversarial networks using representative features Bang, Duhyeon; Shim, Hyunjung, 35th International Conference on Machine Learning, ICML 2018, pp.737 - 746, International Machine Learning Society (IMLS), 2018-06 |
Inverse lighting for non-homogeneous objects from color and depth image using wavelet representation Choe, Junsuk; Shim, Hyunjung, Computational Imaging XIII, SPIE, 2015-02 |
Learning from Better Supervision: Self-distillation for Learning with Noisy Labels Baek, Kyungjune; Lee, Seungho; Shim, Hyunjung, 26th International Conference on Pattern Recognition / 8th International Workshop on Image Mining - Theory and Applications (IMTA), pp.1829 - 1835, IEEE, 2022-08-23 |
Logit Mixing Training for More Reliable and Accurate Prediction Bang, Duhyeon; Baek, Kyungjune; Kim, Jiwoo; Jeon, Yunho; Kim, Jin-Hwa; Kim, Jiwon; Lee, Jongwuk; et al, 31st International Joint Conference on Artificial Intelligence, IJCAI 2022, pp.2812 - 2819, International Joint Conferences on Artificial Intelligence, 2022-07-25 |
Long-tail Mixup for Extreme Multi-label Classification Han, Sangwoo; Choi, Eunseong; Lim, Chan; Shim, Hyunjung; Lee, Jongwuk, 31st ACM International Conference on Information and Knowledge Management, CIKM 2022, pp.3998 - 4002, Association for Computing Machinery, 2022-10 |
Low-dose CT denoising via convolutional neural network with an observer loss function Han, Minah; Shim, Hyunjung; Baek, Jongduk, MEDICAL PHYSICS, v.48, no.10, pp.5727 - 5742, 2021-10 |
MGGAN: Solving Mode Collapse Using Manifold-Guided Training Bang, Duhyeon; Shim, Hyunjung, 18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, pp.2347 - 2356, Institute of Electrical and Electronics Engineers Inc., 2021-10 |
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts Park, Song; Chun, Sanghyuk; Cha, Junbum; Lee, Bado; Shim, Hyunjung, 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, pp.13880 - 13889, Institute of Electrical and Electronics Engineers Inc., 2021-10-12 |
Online underwater optical mapping for trajectories with gaps Elibol, Armagan; Shim, Hyunjung; Hong, Seonghun; Kim, Jinwhan; Gracias, Nuno; Garcia, Rafael, INTELLIGENT SERVICE ROBOTICS, v.9, no.3, pp.217 - 229, 2016-07 |
Performance comparison of convolutional neural network based denoising in low dose CT images for various loss functions Kim, Byeongjoon; Han, Minah; Shim, Hyunjung; Baek, Jongduk, Medical Imaging 2019: Physics of Medical Imaging, SPIE, 2019-02 |
Performance evaluation of time-of-flight and structured light depth sensors in radiometric/geometric variations Shim, Hyunjung; Lee, Seungkyu, OPTICAL ENGINEERING, v.51, no.9, 2012-09 |
Personalized Face Modeling for Photorealistic Synthesis Kim, Kyungmin; Shim, Hyunjung, Journal of International Society for Simulation Surgery, v.2, no.2, pp.47 - 51, 2015-12 |
Probabilistic Approach to Realistic Face Synthesis With a Single Uncalibrated Image Shim, Hyunjung, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.21, no.8, pp.3784 - 3793, 2012-08 |
PsyNet: Self-supervised approach to object localization using point symmetric transformation Baek, Kyungjune; Lee, Minhyun; Shim, Hyunjung, 34th AAAI Conference on Artificial Intelligence, AAAI 2020, pp.10451 - 10459, AAAI press, 2020-02 |
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation Lee, Seungho; Lee, Minhyun; Lee, Jongwuk; Shim, Hyunjung, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021, pp.5491 - 5501, IEEE Computer Society, 2021-06 |
Real-time integrated human activity recognition system based on multimodal user understanding Choi, Jun-Ho; Kim, Kyungmin; Park, Taejin; Yun, Junho; Lee, Jong-Hwan; Kim, Songkuk; Shim, Hyunjung; et al, 25th International Conference on Intelligent User Interfaces, IUI 2020, pp.89 - 90, Association for Computing Machinery, 2020-03 |
Recovering Translucent Objects Using a Single Time-of-Flight Depth Camera Shim, Hyunjung; Lee, Seungkyu, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v.26, no.5, pp.841 - 854, 2016-05 |
Region-based dropout with attention prior for weakly supervised object localization Choe, Junsuk; Han, Dongyoon; Yun, Sangdoo; Ha, Jung-Woo; Oh, Seong Joon; Shim, Hyunjung, PATTERN RECOGNITION, v.116, 2021-08 |
Rethinking the Truly Unsupervised Image-to-Image Translation Baek, Kyungjune; Choi, Yunjey; Uh, Youngjung; Yoo, Jaejun; Shim, Hyunjung, 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, pp.14134 - 14143, Institute of Electrical and Electronics Engineers Inc., 2021-10-12 |
Rigid and non-rigid motion artifact reduction in X-ray CT using attention module Ko, Youngjun; Moon, Seunghyuk; Baek, Jongduk; Shim, Hyunjung, MEDICAL IMAGE ANALYSIS, v.67, 2021-01 |
Robust approach to inverse lighting using RGB-D images Choe, Junsuk; Shim, Hyunjung, INFORMATION SCIENCES, v.438, pp.73 - 94, 2018-04 |
Robust approach to reconstructing transparent objects using a time-of-flight depth camera Kim, Kyungmin; Shim, Hyunjung, OPTICS EXPRESS, v.25, no.3, pp.2666 - 2676, 2017-02 |
Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic Segmentation Lee, Minhyun; Lee, Seungho; Lee, Jongwuk; Shim, Hyunjung, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.45, no.10, pp.12341 - 12357, 2023-10 |
Semantic-aware neural style transfer Park, Joo Hyun; Park, Song; Shim, Hyunjung, IMAGE AND VISION COMPUTING, v.87, pp.13 - 23, 2019-07 |
Session-aware linear item-item models for session-based recommendation Choi, Minjin; Kim, Jinhong; Lee, Joonseok; Shim, Hyunjung; Lee, Jongwuk, 2021 World Wide Web Conference, WWW 2021, pp.2186 - 2197, Association for Computing Machinery, Inc, 2021-04-19 |
Discover