Image co-saliency detection based on clustering and diffusion process. - Insung Hwang; Jae Sung Park; Gu Yong Park; Nam Ik Cho (VCIP, 2016)

Block-Matching Convolutional Neural Network (BMCNN): Improving CNN-Based Denoising by Block-Matched Inputs. - Byeongyong Ahn; Yoonsik Kim; Gu Yong Park; Nam Ik Cho (APSIPA, 2018)

Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination. - Jae Woong Soh; Gu Yong Park; Junho Jo; Nam Ik Cho (CVPR, 2019)

Deep Hierarchical Single Image Super-Resolution by Exploiting Controlled Diverse Context Features. - Jae Woong Soh; Gu Yong Park; Nam Ik Cho (ISM, 2019)

Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization. - Yoonsik Kim; Jae Woong Soh; Gu Yong Park; Nam Ik Cho (CVPR, 2020)

Residual Dilated U-Net with Spatially Adaptive Normalization for the Restoration of Under Display Camera Images. - Youngjin Oh; Gu Yong Park; Haesoo Chung; Sunwoo Cho; Nam Ik Cho (APSIPA ASC, 2021)

Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network. - Yeong Il Jang; Keuntek Lee; Gu Yong Park; Seyun Kim; Nam Ik Cho (ICCV, 2023)

RFG-HDR: Representative Feature-Guided Transformer For Multi-Exposure High Dynamic Range Imaging. - Keuntek Lee; Jaehyun Park; Gu Yong Park; Nam Ik Cho (ICIP, 2024)