no code implementations • 9 Aug 2022 • Xin Jin, Qiang Deng, Jianwen Lv, Heng Huang, Hao Lou, Chaoen Xiao
The differences of the three attributes between the input images and the photography templates or the guidance images are described in natural language, which is aesthetic natural language guidance (ALG).
no code implementations • 9 Aug 2022 • Xin Jin, Shu Zhao, Le Zhang, Xin Zhao, Qiang Deng, Chaoen Xiao
In recent years, image generation has made great strides in improving the quality of images, producing high-fidelity ones.
3 code implementations • 5 Jul 2022 • Xin Jin, Xinning Li, Hao Lou, Chenyu Fan, Qiang Deng, Chaoen Xiao, Shuai Cui, Amit Kumar Singh
Besides, we propose a efficient method for image aesthetic attribute assessment on mixed multi-attribute dataset and construct a multitasking network architecture by using the EfficientNet-B0 as the backbone network.
no code implementations • 13 Aug 2020 • Yiru Wang, Shen Huang, Gongfu Li, Qiang Deng, Dongliang Liao, Pengda Si, Yujiu Yang, Jin Xu
The automatic quality assessment of self-media online articles is an urgent and new issue, which is of great value to the online recommendation and search.
1 code implementation • 28 Dec 2019 • Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao
In order to tackle this challenge, we propose a reinforced weakly-supervised fake news detection framework, i. e., WeFEND, which can leverage users' reports as weak supervision to enlarge the amount of training data for fake news detection.