Hyunjung Shim

发表

Automatic color realism enhancement for virtual reality

Seungkyu Lee, Hyunjung Shim, 2012, 2012 IEEE Virtual Reality Workshops (VRW).

Unsupervised Object Localization using Generative Adversarial Networks pdf

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

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).

Improved Techniques For Weakly-Supervised Object Localization pdf

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

Data-driven Approach to Aesthetic Enhancement

Hyunjung Shim, Jihye Choi, Sungjoon Koh, 2016 .

Inverse lighting for non-homogeneous objects from color and depth image using wavelet representation

Hyunjung Shim, Junsuk Choe, 2015, Electronic Imaging.

Semantic-aware neural style transfer

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

High Quality Bidirectional Generative Adversarial Networks pdf

Hyunjung Shim, Duhyeon Bang, 2018, ArXiv.

3D motion artifact compenstation in CT image with depth camera

Jongduk Baek, Hyunjung Shim, Youngjun Ko, 2015, Electronic Imaging.

Online underwater optical mapping for trajectories with gaps

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

Image Quality Enhancement of Digital Breast Tomosynthesis Images by Deblurring with Deep Residual Convolutional Neural Network

Yunsu Choi, Jongduk Baek, Hyunjung Shim, 2018, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC).

Automatic color realism enhancement for computer generated images

Seungkyu Lee, Hyunjung Shim, 2012, Comput. Graph..

Hybrid exposure for depth imaging of a time-of-flight depth sensor.

Seungkyu Lee, Hyunjung Shim, 2014, Optics express.

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

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

Resembled Generative Adversarial Networks: Two Domains with Similar Attributes pdf

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

An example-based face relighting

Tsuhan Chen, Hyunjung Shim, 2012, Other Conferences.

Collaborative Distillation for Top-N Recommendation

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

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.

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

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

Generative Adversarial Networks for Unsupervised Object Co-localization

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

GridMix: Strong regularization through local context mapping

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

Skewed stereo time-of-flight camera for translucent object imaging

Seungkyu Lee, Hyunjung Shim, 2015, Image Vis. Comput..

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.

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

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

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

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

Robust approach to reconstructing transparent objects using a time-of-flight depth camera.

Kyungmin Kim, Hyunjung Shim, 2017, Optics express.

A convolutional neural network-based model observer for breast CT images.

Jongduk Baek, Hyunjung Shim, Minah Han, 2020, Medical physics.

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.

Real-time Integrated Human Activity Recognition System based on Multimodal User Understanding

Hyunjung Shim, Songkuk Kim, Jong-Seok Lee, 2020, IUI Companion.

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.

ToF depth image motion blur detection using 3D blur shape models

Chang-Yeong Kim, James D. K. Kim, Hyunjung Shim, 2012, Electronic Imaging.

A probabilistic approach to realistic face synthesis

Taehyun Rhee, Chang-Yeong Kim, Hyunjung Shim, 2010, 2010 IEEE International Conference on Image Processing.

Robust approach to inverse lighting using RGB-D images

Hyunjung Shim, Junsuk Choe, 2018, Inf. Sci..

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

Jiwon Kim, Hyunjung Shim, Duhyeon Bang, 2021 .

Few-shot Font Generation with Localized Style Representations and Factorization pdf

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

Probabilistic Approach to Realistic Face Synthesis With a Single Uncalibrated Image

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

Light weight multiview capturing

Tsuhan Chen, Seungkyu Lee, Chang-Yeong Kim, 2012, 2012 IEEE Consumer Communications and Networking Conference (CCNC).

2006 Conference on Computer Vision and Pattern Recognition Workshops

Koichiro Deguchi, Kosuke Sato, Christophe Collewet, 2006 .

Performance evaluation of time-of-flight and structured light depth sensors in radiometric/geometric variations

Hyunjung Shim, Seungkyu Lee, 2012 .

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).

Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera using Deep Residual Networks pdf

Seongjong Song, Hyunjung Shim, 2018, ACCV.

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.

A statistical framework for image-based relighting

Tsuhan Chen, Hyunjung Shim, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Efficient representation of lighting patterns for image-based relighting

Tsuhan Chen, Hyunjung Shim, 2004 .

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).

Rethinking the Truly Unsupervised Image-to-Image Translation pdf

Youngjung Uh, Hyunjung Shim, Jaejun Yoo, 2020, ArXiv.

Dual Neural Personalized Ranking

Seunghyeon Kim, Jongwuk Lee, Hyunjung Shim, 2019, WWW.

Session details: Interactive Art

Hyunjung Shim, 2018, ACM Multimedia.

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).

Implementation of an ideal observer model using convolutional neural network for breast CT images

Jongduk Baek, Hyunjung Shim, Minah Han, 2019, Medical Imaging.

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).

Improved Training of Generative Adversarial Networks Using Representative Features pdf

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

Depth image enhancement using perceptual texture priors

Hyunjung Shim, Duhyeon Bang, 2015, Electronic Imaging.

Estimating all frequency lighting using a color/depth image

Hyunjung Shim, 2012, 2012 19th IEEE International Conference on Image Processing.

Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously pdf

Hyunjung Shim, Duhyeon Bang, Kyungjune Baek, 2018, ACCV.

Recycling the discriminator for improving the inference mapping of GAN

Hyunjung Shim, Duhyeon Bang, 2018 .

A deeper convolutional neural network for denoising low-dose CT images

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

Faces as light probes for relighting

Hyunjung Shim, Hyunjung Shim, 2012 .

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

Seong Joon Oh, Zeynep Akata, Hyunjung Shim, 2020, ArXiv.

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

Seon-Min Rhee, Markus H. Gross, Taehyun Rhee, 2011, The Visual Computer.

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.

Weakly-supervised progressive denoising with unpaired CT images

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

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).

Few-shot Font Generation with Weakly Supervised Localized Representations pdf

Hyunjung Shim, Sanghyuk Chun, Junbum Cha, 2021, ArXiv.

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

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

Few-shot Font Generation with Localized Style Representations and Factorization

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

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

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

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).

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

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