2 citations · 4 across the 6 of their papers we have counts for
6 papers
Current Status and Prospects of Neutron Detection and Neutron/Gamma Discrimination Technologies in Fusion Applications
Zhuo Zuo, Bingqi Liu, Hao Feng +6
Fusion research is progressing from physics-oriented experiments toward reactor-oriented engineering applications, placing increasing demands on the accuracy and reliability of neu…
HazeSpikeMamba: Coupling Spiking-Inspired and State-Space Features for Self-Supervised Real-World Dehazing
Haoran Liu, Huibin Li, Mingzhe Liu +2
Dehazing networks are commonly trained on synthetic hazy-clear pairs, but their performance often drops on real photographs. Synthetic haze generated using the atmospheric scatteri…
Ranking Infrared-Visible Fusion the Way Humans Do: A Learned Pairwise Preference Measure
Haoran Liu, Mingzhe Liu, Peng Li +1
Human pairwise comparison provides a direct basis for perceptual infrared-visible image fusion assessment, but dense annotation becomes costly as method pools grow. We present the…
U-Net-Like Spiking Neural Networks for Single Image Dehazing
Huibin Li, Haoran Liu, Mingzhe Liu +3
Image dehazing is a critical challenge in computer vision, essential for enhancing image clarity in hazy conditions. Traditional methods often rely on atmospheric scattering models…
Pulse Shape Discrimination Algorithms: Survey and Benchmark
Haoran Liu, Yihan Zhan, Mingzhe Liu +5
This review presents a comprehensive survey and benchmark of pulse shape discrimination (PSD) algorithms for radiation detection, classifying nearly sixty methods into statistical…
Dataset for neutron and gamma-ray pulse shape discrimination
Kaimin Wang, Haoran Liu, Peng Li +2
The publicly accessible dataset includes neutron and gamma-ray pulse signals for conducting pulse shape discrimination experiments. Several traditional and recently proposed pulse…