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

Phase Matching Guided Filtering. - Dong-Pan Lim; Seo-Won Ji; Yoon-Jae Yeo; Sung-Jea Ko (GCCE, 2018)

A novel method to generate a high-quality image by using a stereo camera. - Seo-Won Ji; Yoon-Jae Yeo; Seok-Jae Kang; Joon-Hyuk Im; Sung-Jea Ko (ICCE, 2018)

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)

cGANs with Conditional Convolution Layer. - Min-Cheol Sagong; Yong-Goo Shin; Yoon-Jae Yeo; Seung Park; 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)

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)

Efficient Pyramid-Structured Networks Using Channel Separating Gate. - Yoon-Jae Yeo; Min-Cheol Sagong; Sung-Jea Ko; Dong-Pan Lim (GCCE, 2021)

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

Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention. - Min-Cheol Sagong; Yoon-Jae Yeo; Seung-Won Jung; Sung-Jea Ko (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)

RORD: A Real-world Object Removal Dataset. - Min-Cheol Sagong; Yoon-Jae Yeo; Seung-Won Jung; Sung-Jea Ko (BMVC, 2022)

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

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

Two Heads are Better Than One: Neural Networks Quantization with 2D Hilbert Curve-based Output Representation. - Mykhailo Uss; Ruslan Yermolenko; Olena Kolodiazhna; Oleksii Shashko; Ivan Safonov; Volodymyr Savin; Yoon-Jae Yeo; Seo-Won Ji; Jaeyun Jeong (CoRR, 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)