most citedMulti-Objective Reinforced Evolution in Mobile Neural Architecture Search

38 citations · 57 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Cascade Luminance and Chrominance for Image Retouching: More Like Artist

Hailong Ma, Sibo Feng, Xi Xiao +2

Photo retouching aims to adjust the luminance, contrast, and saturation of the image to make it more human aesthetically desirable. However, artists' actions in photo retouching ar…

cs.CV202214 cited

MoCoViT: Mobile Convolutional Vision Transformer

Hailong Ma, Xin Xia, Xing Wang +3

Recently, Transformer networks have achieved impressive results on a variety of vision tasks. However, most of them are computationally expensive and not suitable for real-world mo…

cs.CV20194 cited

A Matrix-in-matrix Neural Network for Image Super Resolution

Hailong Ma, Xiangxiang Chu, Bo Zhang +1

In recent years, deep learning methods have achieved impressive results with higher peak signal-to-noise ratio in single image super-resolution (SISR) tasks by utilizing deeper lay…

cs.NE201938 cited

Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search

Xiangxiang Chu, Bo Zhang, Ruijun Xu +1

Fabricating neural models for a wide range of mobile devices demands for a specific design of networks due to highly constrained resources. Both evolution algorithms (EA) and reinf…

cs.CV2019

Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search

Xiangxiang Chu, Bo Zhang, Hailong Ma +2

Deep convolutional neural networks demonstrate impressive results in the super-resolution domain. A series of studies concentrate on improving peak signal noise ratio (PSNR) by usi…