24 citations · 48 across the 4 of their papers we have counts for
4 papers
DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
Zixuan Chen, Zewei He, Zhe-Ming Lu
Single image dehazing is a challenging ill-posed problem which estimates latent haze-free images from observed hazy images. Some existing deep learning based methods are devoted to…
Boosting Image Super-Resolution Via Fusion of Complementary Information Captured by Multi-Modal Sensors
Fan Wang, Jiangxin Yang, Yanlong Cao +2
Image Super-Resolution (SR) provides a promising technique to enhance the image quality of low-resolution optical sensors, facilitating better-performing target detection and auton…
Learning Inter- and Intraframe Representations for Non-Lambertian Photometric Stereo
Yanlong Cao, Binjie Ding, Zewei He +4
Photometric stereo provides an important method for high-fidelity 3D reconstruction based on multiple intensity images captured under different illumination directions. In this pap…
Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based Fusion of Orientation-aware Features
Du Chen, Zewei He, Yanpeng Cao +5
Recently, Convolutional Neural Networks (CNNs) have been successfully adopted to solve the ill-posed single image super-resolution (SISR) problem. A commonly used strategy to boost…