11 citations · 22 across the 4 of their papers we have counts for
4 papers
Pyramidal Dense Attention Networks for Lightweight Image Super-Resolution
Huapeng Wu, Jie Gui, Jun Zhang +2
Recently, deep convolutional neural network methods have achieved an excellent performance in image superresolution (SR), but they can not be easily applied to embedded devices due…
Feedback Pyramid Attention Networks for Single Image Super-Resolution
Huapeng Wu, Jie Gui, Jun Zhang +2
Recently, convolutional neural network (CNN) based image super-resolution (SR) methods have achieved significant performance improvement. However, most CNN-based methods mainly foc…
Asymmetric Quantum Concatenated and Tensor Product Codes with Large Z-Distances
Jihao Fan, Jun Li, Jianxin Wang +2
In this paper, we present a new construction of asymmetric quantum codes (AQCs) by combining classical concatenated codes (CCs) with tensor product codes (TPCs), called asymmetric…
Multi-grained Attention Networks for Single Image Super-Resolution
Huapeng Wu, Zhengxia Zou, Jie Gui +5
Deep Convolutional Neural Networks (CNN) have drawn great attention in image super-resolution (SR). Recently, visual attention mechanism, which exploits both of the feature importa…