no code implementations • ECCV 2020 • Yaoxiong Huang, Mengchao He, Lianwen Jin, Yongpan Wang
Style transfer has attracted much interest owing to its various applications.
2 code implementations • CVPR 2019 • Zecheng Xie, Yaoxiong Huang, Yuanzhi Zhu, Lianwen Jin, Yuliang Liu, Lele Xie
In this paper, we propose a novel method, aggregation cross-entropy (ACE), for sequence recognition from a brand new perspective.
3 code implementations • 3 Dec 2018 • Shuaitao Zhang, Yuliang Liu, Lianwen Jin, Yaoxiong Huang, Songxuan Lai
The feature of the former is first enhanced by a novel lateral connection structure and then refined by four carefully designed losses: multiscale regression loss and content loss, which capture the global discrepancy of different level features; texture loss and total variation loss, which primarily target filling the text region and preserving the reality of the background.