Foot Measurement Using 3D Scanning Model. - Eungyeol Song; Sun-Woong Yoon; Hanbin Son; Sunjin Yu (Int. J. Fuzzy Log. Intell. Syst., 2018)

SF-CNN: A Fast Compression Artifacts Removal via Spatial-To-Frequency Convolutional Neural Networks. - Taeoh Kim; Hyeongmin Lee; Hanbin Son; Sangyoun Lee (ICIP, 2019)

AIM 2020 Challenge on Image Extreme Inpainting. - Evangelos Ntavelis; Andrés Romero; Siavash Bigdeli; Radu Timofte; Zheng Hui; Xiumei Wang; Xinbo Gao 001; Chajin Shin; Taeoh Kim; Hanbin Son; Sangyoun Lee; Chao Li 034; et al. (ECCV Workshops (3), 2020)

Regularized Adaptation for Stable and Efficient Continuous-Level Learning on Image Processing Networks. - Hyeongmin Lee; Taeoh Kim; Hanbin Son; Sangwook Baek; Minsu Cheon; Sangyoun Lee (CoRR, 2020)

Smoother Network Tuning and Interpolation for Continuous-level Image Processing. - Hyeongmin Lee; Taeoh Kim; Hanbin Son; Sangwook Baek; Minsu Cheon; Sangyoun Lee (CoRR, 2020)

Expanded Adaptive Scaling Normalization for End to End Image Compression. - Chajin Shin; Hyeongmin Lee; Hanbin Son; Sangjin Lee; Dogyoon Lee; Sangyoun Lee (ECCV (17), 2022)

Beyond Natural Motion: Exploring Discontinuity for Video Frame Interpolation. - Sangjin Lee; Hyeongmin Lee; Chajin Shin; Hanbin Son; Sangyoun Lee (CoRR, 2022)

Enhanced Standard Compatible Image Compression Framework Based on Auxiliary Codec Networks. - Hanbin Son; Taeoh Kim; Hyeongmin Lee; Sangyoun Lee (IEEE Trans. Image Process., 2022)

Exploring Discontinuity for Video Frame Interpolation. - Sangjin Lee; Hyeongmin Lee; Chajin Shin; Hanbin Son; Sangyoun Lee (CVPR, 2023)

A Nonlinear, Regularized, and Data-independent Modulation for Continuously Interactive Image Processing Network. - Hyeongmin Lee; Taeoh Kim; Hanbin Son; Sangwook Baek; Minsu Cheon; Sangyoun Lee (Int. J. Comput. Vis., 2024)