262 citations · 382 across the 9 of their papers we have counts for
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eess.IV2021★ 3 cited
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…
eess.IV2021★ 1 cited
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…
eess.IV2019★ 7 cited
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…