14 citations · 24 across the 4 of their papers we have counts for
6 papers
Convolutional Neural Network with Convolutional Block Attention Module for Finger Vein Recognition
Zhongxia Zhang, Mingwen Wang
Convolutional neural networks have become a popular research in the field of finger vein recognition because of their powerful image feature representation. However, most researche…
Finger Vein Recognition by Generating Code
Zhongxia Zhang, Mingwen Wang
Finger vein recognition has drawn increasing attention as one of the most popular and promising biometrics due to its high distinguishes ability, security and non-invasive procedur…
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding
Jinshan Zeng, Qi Chen, Yunxin Liu +2
The generation of stylish Chinese fonts is an important problem involved in many applications. Most of existing generation methods are based on the deep generative models, particul…
Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background
Qiaosi Yi, Yunxing Liu, Aiwen Jiang +3
Crowd counting is an important task that shown great application value in public safety-related fields, which has attracted increasing attention in recent years. In the current res…
Progressive Feature Fusion Network for Realistic Image Dehazing
Kangfu Mei, Aiwen Jiang, Juncheng Li +1
Single image dehazing is a challenging ill-posed restoration problem. Various prior-based and learning-based methods have been proposed. Most of them follow a classic atmospheric s…
An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks
Kangfu Mei, Aiwen Jiang, Juncheng Li +2
Recent works on single-image super-resolution are concentrated on improving performance through enhancing spatial encoding between convolutional layers. In this paper, we focus on…