Hyunjung Shim

发表

A Subspace Model-Based Approach to Face Relighting Under Unknown Lighting and Poses

Jiebo Luo, Tsuhan Chen, Hyunjung Shim, 2008, IEEE Transactions on Image Processing.

Logit As Auxiliary Weak-supervision for More Reliable and Accurate Prediction

Jiwon Kim, Hyunjung Shim, Duhyeon Bang, 2021 .

2006 Conference on Computer Vision and Pattern Recognition Workshops

Koichiro Deguchi, Kosuke Sato, Christophe Collewet, 2006 .

Personalized Face Modeling for Photorealistic Synthesis

Hyunjung Shim, Kyungmin Kim, 2015 .

Evaluating Weakly Supervised Object Localization Methods Right

Seong Joon Oh, Zeynep Akata, Hyunjung Shim, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation

Hyunjung Shim, Lee Sael, Jongwuk Lee, 2022, Knowledge and Information Systems.

Online underwater optical mapping for trajectories with gaps

Jinwhan Kim, N. Gracias, A. Elibol, 2016, Intelligent Service Robotics.

A Performance Comparison of CNN-based Image Denoising Methods: The Effect of Loss Functions on Low-dose CT Images.

Byeongjoon Kim, Jongduk Baek, Hyunjung Shim, 2019, Medical physics.

Performance comparison of convolutional neural network based denoising in low dose CT images for various loss functions

Byeongjoon Kim, Jongduk Baek, Hyunjung Shim, 2019, Medical Imaging.

Feasibility study of deep convolutional generative adversarial networks to generate mammography images

Jongduk Baek, Hyunjung Shim, Gihun Kim, 2018, Medical Imaging.

Probabilistic Approach to Realistic Face Synthesis With a Single Uncalibrated Image

Hyunjung Shim, Hyunjung Shim, 2012, IEEE Transactions on Image Processing.

MGGAN: Solving Mode Collapse Using Manifold-Guided Training pdf

Hyunjung Shim, Duhyeon Bang, Hyunjung Shim, 2018, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Mismatched image identification using histogram of loop closure error for feature-based optical mapping

Jinwhan Kim, Armagan Elibol, Nuno Gracias, 2019, International Journal of Intelligent Robotics and Applications.

Developing a Visual Stopping Criterion for Image Mosaicing Using Invariant Color Histograms

Armagan Elibol, Hyunjung Shim, A. Elibol, 2015, PCM.

Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation

Jongwuk Lee, Hyunjung Shim, Minhyun Lee, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation

Hyunjung Shim, Minhyun Lee, Kyungjune Baek, 2020, AAAI.

Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation

Hyunjung Shim, Junsuk Choe, Seungho Lee, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds

Hyunjung Shim, Minhyun Lee, Dongseob Kim, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Attention-Based Dropout Layer for Weakly Supervised Object Localization

Hyunjung Shim, Junsuk Choe, Hyunjung Shim, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts pdf

Hyunjung Shim, Sanghyuk Chun, Junbum Cha, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Rigid and non-rigid motion artifact reduction in X-ray CT using attention module

Jongduk Baek, Hyunjung Shim, Youngjun Ko, 2020, Medical Image Anal..

Time-of-flight sensor and color camera calibration for multi-view acquisition

M. Gross, Chang-Yeong Kim, Hyunjung Shim, 2012, The Visual Computer.

Weakly-supervised progressive denoising with unpaired CT images

Byeongjoon Kim, Jongduk Baek, Hyunjung Shim, 2021, Medical Image Anal..

Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser

Hyunjung Shim, J. Baek, Minah Han, 2022, IEEE Access.

Rethinking the Truly Unsupervised Image-to-Image Translation

Youngjung Uh, Yunjey Choi, Hyunjung Shim, 2020, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Diversity regularized autoencoders for text generation

Jongwuk Lee, Hyeseon Ko, Junhyuk Lee, 2020, SAC.

S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks pdf

Hyunjung Shim, Minjin Choi, Jinhong Kim, 2022, WSDM.

Face Generation for Low-Shot Learning Using Generative Adversarial Networks

Kyungmin Kim, Dongseob Kim, Joo-Hyun Park, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data

Hyunjung Shim, Kyungjune Baek, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Logit Mixing Training for More Reliable and Accurate Prediction

Jiwon Kim, Hyunjung Shim, Jiwoo Kim, 2022, IJCAI.

Two-phase learning-based 3D deblurring method for digital breast tomosynthesis images

Hyunjung Shim, J. Baek, H. Jang, 2022, PloS one.

Low-dose CT denoising via convolutional neural network with an observer loss function.

Hyunjung Shim, J. Baek, Minah Han, 2021, Medical physics.

Session-aware Linear Item-Item Models for Session-based Recommendation

Jongwuk Lee, Hyunjung Shim, Joonseok Lee, 2021, WWW.

Few-shot Font Generation with Localized Style Representations and Factorization

Hyunjung Shim, Sanghyuk Chun, Junbum Cha, 2020, AAAI.

Recovering Translucent Objects Using a Single Time-of-Flight Depth Camera

Seungkyu Lee, Hyunjung Shim, Seungkyu Lee, 2016, IEEE Transactions on Circuits and Systems for Video Technology.

Adaptive Environment Map for Relighting: Using Cameras and Projected Light

Tsuhan Chen, Hyunjung Shim, Tsuhan Chen, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets

Seong Joon Oh, Zeynep Akata, Hyunjung Shim, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Streak artifacts reduction algorithm using an implicit neural representation in sparse-view CT

Hyunjung Shim, J. Baek, Byeongjoon Kim, 2022, Medical Imaging.

Discriminator Feature-Based Inference by Recycling the Discriminator of GANs

Hyunjung Shim, Duhyeon Bang, Seoungyoon Kang, 2018, International Journal of Computer Vision.

Collaborative Distillation for Top-N Recommendation

Jongwuk Lee, Hyunjung Shim, Minjin Choi, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

A streak artifact reduction algorithm in sparse-view CT using a self-supervised neural representation.

Hyunjung Shim, J. Baek, Byeongjoon Kim, 2022, Medical physics.

Semantic-aware neural style transfer

Hyunjung Shim, Joo Hyun Park, Song Park, 2019, Image Vis. Comput..

Resembled Generative Adversarial Networks: Two Domains with Similar Attributes pdf

Hyunjung Shim, Duhyeon Bang, Hyunjung Shim, 2018, BMVC.

Learning from Better Supervision: Self-distillation for Learning with Noisy Labels

Hyunjung Shim, Seungho Lee, Kyungjune Baek, 2022, International Conference on Pattern Recognition.

Unsupervised Object Localization using Generative Adversarial Networks pdf

Joo Hyun Park, Hyunjung Shim, Junsuk Choe, 2018, ArXiv.

Improved Training of Generative Adversarial Networks Using Representative Features pdf

Hyunjung Shim, Duhyeon Bang, Hyunjung Shim, 2018, ICML.

Online underwater optical mapping for trajectories with gaps

Jinwhan Kim, Rafael García, Armagan Elibol, 2016, Intell. Serv. Robotics.

Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic Segmentation

Hyunjung Shim, Jongwuk Lee, Seungho Lee, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Entropy regularization for weakly supervised object localization

Hyunjung Shim, Jung-Woo Ha, Junsuk Choe, 2023, Pattern Recognit. Lett..

Region-based dropout with attention prior for weakly supervised object localization

Seong Joon Oh, Jung-Woo Ha, Dongyoon Han, 2021, Pattern Recognit..

Generative Adversarial Networks for Unsupervised Object Co-localization

Joo Hyun Park, Hyunjung Shim, Junsuk Choe, 2018, 1806.00236.

Improved Techniques For Weakly-Supervised Object Localization pdf

Joo Hyun Park, Hyunjung Shim, Junsuk Choe, 2018, 1802.07888.

Improved Techniques For Weakly-Supervised Object Localization

Hyunjung Shim, Junsuk Choe, J. Park, 2018, ArXiv.

GridMix: Strong regularization through local context mapping

Hyunjung Shim, Duhyeon Bang, Kyungjune Baek, 2021, Pattern Recognit..

HybridMatch: Semi-Supervised Facial Landmark Detection via Hybrid Heatmap Representations

Hyunjung Shim, Minhyun Lee, Seoungyoon Kang, 2023, IEEE Access.

Faces as light probes for relighting

Hyunjung Shim, Hyunjung Shim, 2012 .

CoMix: Collaborative filtering with mixup for implicit datasets

Hyunjung Shim, Jongwuk Lee, Jaewan Moon, 2023, Inf. Sci..

F2RPC: Fake to Real Portrait Control From a Virtual Character

Hyunjung Shim, Seoungyoon Kang, Minjae Kim, 2023, IEEE Access.