3 papers
cs.CV2024
PIE: Physics-inspired Low-light Enhancement
Dong Liang, Zhengyan Xu, Ling Li +2
In this paper, we propose a physics-inspired contrastive learning paradigm for low-light enhancement, called PIE. PIE primarily addresses three issues: (i) To resolve the problem o…
cs.CV2023
ALL-E: Aesthetics-guided Low-light Image Enhancement
Ling Li, Dong Liang, Yuanhang Gao +2
Evaluating the performance of low-light image enhancement (LLE) is highly subjective, thus making integrating human preferences into image enhancement a necessity. Existing methods…
cs.CV2021
Active Terahertz Imaging Dataset for Concealed Object Detection
Dong Liang, Fei Xue, Ling Li
Concealed object detection in Terahertz imaging is an urgent need for public security and counter-terrorism. In this paper, we provide a public dataset for evaluating multi-object…