no code implementations • 27 Apr 2018 • Yujun Gu, Jie Chang, Ya zhang, Yan-Feng Wang
Understanding human visual attention is important for multimedia applications.
no code implementations • 17 Nov 2017 • Jie Chang, Yujun Gu, Ya zhang
Inspired by the recent advancement in Generative Adversarial Networks (GANs), we propose a Hierarchical Adversarial Network (HAN) for typeface transformation.
no code implementations • 31 Oct 2017 • Zhonghao Wang, Yujun Gu, Ya zhang, Jun Zhou, Xiao Gu
The VAM is further connected to a global network to form an end-to-end network structure through Impdrop connection which randomly Dropout on the feature maps with the probabilities given by the attention map.
1 code implementation • 16 Jul 2017 • Jie Chang, Yujun Gu
In this paper, we propose a new network architecture for Chinese typography transformation based on deep learning.