Camera-based color calibration method for multiple flat-panel display system. - June-Young Jung; Seung Park; Cheol-Hwan Yoo; Yong-Goo Shin; Sung-Jea Ko (ICCE, 2015)

A novel 2-D mapping-based remote eye gaze tracking method using two IR light sources. - Yong-Goo Shin; Kang-A. Choi; Sung-Tae Kim; Cheol-Hwan Yoo; Sung-Jea Ko (ICCE, 2015)

A novel iris center localization based on circle fitting using radially sampled features. - Sung-Tae Kim; Kang-A. Choi; Yong-Goo Shin; Sung-Jea Ko (ISCE, 2015)

A novel single IR light based gaze estimation method using virtual glints. - Yong-Goo Shin; Kang-A. Choi; Sung-Tae Kim; Sung-Jea Ko (IEEE Trans. Consumer Electron., 2015)

A novel burn-in potential region detection method using image processing technique. - Yong-Goo Shin; Dae-Hong Lee; Mun-Cheon Kang; Jeisung Lee; Sung-Jea Ko (ICCE, 2017)

Adversarial Context Aggregation Network for Low-Light Image Enhancement. - Yong-Goo Shin; Min-Cheol Sagong; Yoon-Jae Yeo; Sung-Jea Ko (DICTA, 2018)

PEPSI : Fast Image Inpainting With Parallel Decoding Network. - Min-Cheol Sagong; Yong-Goo Shin; Seung-Wook Kim 002; Seung Park; Sung-Jea Ko (CVPR, 2019)

Deep Fashion Recommendation System with Style Feature Decomposition. - Yong-Goo Shin; Yoon-Jae Yeo; Min-Cheol Sagong; Seo-Won Ji; Sung-Jea Ko (ICCE-Berlin, 2019)

Contrast Enhancement Using Sensitivity Model-Based Sigmoid Function. - Seung Park; Yong-Goo Shin; Sung-Jea Ko (IEEE Access, 2019)

Unsupervised Deep Power Saving and Contrast Enhancement for OLED Displays. - Yong-Goo Shin; Seung Park; Min-Jae Yoo; Sung-Jea Ko (CoRR, 2019)

cGANs with Conditional Convolution Layer. - Min-Cheol Sagong; Yong-Goo Shin; Yoon-Jae Yeo; Seung Park; Sung-Jea Ko (CoRR, 2019)

Capturing Hand Articulations using Recurrent Neural Network for 3D Hand Pose Estimation. - Cheol-Hwan Yoo; Seung-Wook Kim 002; Seo-Won Ji; Yong-Goo Shin; Sung-Jea Ko (CoRR, 2019)

A Simple yet Effective Way for Improving the Performance of GANs. - Yong-Goo Shin; Yoon-Jae Yeo; Min-Cheol Sagong; Cheol-Hwan Yoo; Sung-Jea Ko (CoRR, 2019)

Self-Attentive Normalization for Automated Gleason Grading System. - Hong-Kyu Shin; Sung-Hoo Hong; Yeong-Jin Choi; Yong-Goo Shin; Seung Park; Sung-Jea Ko (TENCON, 2020)

Detail Restoration and Tone Mapping Networks for X-Ray Security Inspection. - Hyo-Young Kim; Seung Park; Yong-Goo Shin; Seung-Won Jung; Sung-Jea Ko (IEEE Access, 2020)

Fast and Accurate 3D Hand Pose Estimation via Recurrent Neural Network for Capturing Hand Articulations. - Cheol-Hwan Yoo; Seo-Won Ji; Yong-Goo Shin; Seung-Wook Kim 002; Sung-Jea Ko (IEEE Access, 2020)

Simple Yet Effective Way for Improving the Performance of Depth Map Super-Resolution. - Yoon-Jae Yeo; Min-Cheol Sagong; Yong-Goo Shin; Seung-Won Jung; Sung-Jea Ko (IEEE Signal Process. Lett., 2020)

Simple Yet Effective Way for Improving the Performance of Lossy Image Compression. - Yoon-Jae Yeo; Yong-Goo Shin; Min-Cheol Sagong; Seung-Wook Kim 002; Sung-Jea Ko (IEEE Signal Process. Lett., 2020)

Unsupervised Deep Contrast Enhancement With Power Constraint for OLED Displays. - Yong-Goo Shin; Seung Park; Yoon-Jae Yeo; Min-Jae Yoo; Sung-Jea Ko (IEEE Trans. Image Process., 2020)

Generative Adversarial Network using Perturbed-Convolutions. - Seung Park; Yoon-Jae Yeo; Yong-Goo Shin (CoRR, 2021)

PEPSI++: Fast and Lightweight Network for Image Inpainting. - Yong-Goo Shin; Min-Cheol Sagong; Yoon-Jae Yeo; Seung-Wook Kim 002; Sung-Jea Ko (IEEE Trans. Neural Networks Learn. Syst., 2021)

Improved Generative Convolution Method for Image Generation. - Seung Park; Min-Uk Yang; Geun-Hyeong Kim; Jueng-Eun Im; Ki-Hun Kim; Yong-Goo Shin (ICTC, 2022)

Generative residual block for image generation. - Seung Park; Yong-Goo Shin (Appl. Intell., 2022)

Effective Shortcut Technique for GAN. - Seung Park; Cheol-Hwan Yoo; Yong-Goo Shin (CoRR, 2022)

IF-GAN: A Novel Generator Architecture with Information Feedback. - Seung Park; Yong-Goo Shin (CoRR, 2022)

PConv: simple yet effective convolutional layer for generative adversarial network. - Seung Park; Yoon-Jae Yeo; Yong-Goo Shin (Neural Comput. Appl., 2022)

Generative convolution layer for image generation. - Seung Park; Yong-Goo Shin (Neural Networks, 2022)

Simple Yet Effective Way for Improving the Performance of GAN. - Yoon-Jae Yeo; Yong-Goo Shin; Seung Park; Sung-Jea Ko (IEEE Trans. Neural Networks Learn. Syst., 2022)

A BERT-Based Artificial Intelligence to Analyze Free-Text Clinical Notes for Binary Classification in Papillary Thyroid Carcinoma Recurrence. - Jahyun Nam; Jee-Woo Choi; Yong-Goo Shin; Seung Park (ICCE, 2023)

Structured Medical Dataset Analysis Tool Based on ChatGPT. - JinCheol Park; Jahyun Nam; Jee-Woo Choi; Yong-Goo Shin; Seung Park (ICUFN, 2023)

Effective shortcut technique for generative adversarial networks. - Seung Park; Cheol-Hwan Yoo; Yong-Goo Shin (Appl. Intell., 2023)

Image generation with self pixel-wise normalization. - Yoon-Jae Yeo; Min-Cheol Sagong; Seung Park; Sung-Jea Ko; Yong-Goo Shin (Appl. Intell., 2023)

Prognostic prediction of sepsis patient using transformer with skip connected token for tabular data. - Jee-Woo Choi; Minuk Yang; Jae-Woo Kim; Yoon Mi Shin; Yong-Goo Shin; Seung Park (Artif. Intell. Medicine, 2024)

A unified framework to stereotyped behavior detection for screening Autism Spectrum Disorder. - Cheol-Hwan Yoo; Jang-Hee Yoo; Moon-Ki Back; Woo-Jin Wang; Yong-Goo Shin (Pattern Recognit. Lett., 2024)

Conditional Convolution Projecting Latent Vectors on Condition-Specific Space. - Min-Cheol Sagong; Yoon-Jae Yeo; Yong-Goo Shin; Sung-Jea Ko (IEEE Trans. Neural Networks Learn. Syst., 2024)

GRB-Sty: Redesign of Generative Residual Block for StyleGAN. - Seung Park; Yong-Goo Shin (ICT Express, 2025)

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation. - Eun-Sol Park; MiSo Park; Seung Park; Yong-Goo Shin (CoRR, 2025)

A Novel Generator With Auxiliary Branch for Improving GAN Performance. - Seung Park; Yong-Goo Shin (IEEE Trans. Neural Networks Learn. Syst., 2025)

Rethinking Image Skip Connections in StyleGAN2. - Seung Park; Yong-Goo Shin (IEEE Trans. Neural Networks Learn. Syst., 2025)