54 citations · 70 across the 7 of their papers we have counts for
3 papers
cs.CV2022★ 54 cited
Toward Fast, Flexible, and Robust Low-Light Image Enhancement
Long Ma, Tengyu Ma, Risheng Liu +2
Existing low-light image enhancement techniques are mostly not only difficult to deal with both visual quality and computational efficiency but also commonly invalid in unknown com…
eess.IV2021
Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement
Long Ma, Risheng Liu, Jiaao Zhang +2
Enhancing the quality of low-light images plays a very important role in many image processing and multimedia applications. In recent years, a variety of deep learning techniques h…
cs.CV2021★ 9 cited
Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision
Risheng Liu, Long Ma, Tengyu Ma +2
Images captured from low-light scenes often suffer from severe degradations, including low visibility, color cast and intensive noises, etc. These factors not only affect image qua…