2 citations · 2 across the 2 of their papers we have counts for
3 papers
eess.IV2022
Lightweight Image Enhancement Network for Mobile Devices Using Self-Feature Extraction and Dense Modulation
Sangwook Baek, Yongsup Park, Youngo Park +2
Convolutional neural network (CNN) based image enhancement methods such as super-resolution and detail enhancement have achieved remarkable performances. However, amounts of operat…
cs.CV2020★ 2 cited
Smoother Network Tuning and Interpolation for Continuous-level Image Processing
Hyeongmin Lee, Taeoh Kim, Hanbin Son +3
In Convolutional Neural Network (CNN) based image processing, most studies propose networks that are optimized to single-level (or single-objective); thus, they underperform on oth…
cs.CV2020
Regularized Adaptation for Stable and Efficient Continuous-Level Learning on Image Processing Networks
Hyeongmin Lee, Taeoh Kim, Hanbin Son +3
In Convolutional Neural Network (CNN) based image processing, most of the studies propose networks that are optimized for a single-level (or a single-objective); thus, they underpe…