no code implementations • COLING 2022 • Guisheng Liu, Yi Li, Yanqing Guo, Xiangyang Luo, Bo wang
To achieve this, we design a contrastive-generator that can effectively generate texts with more attributes.
no code implementations • 6 Apr 2024 • Yi Li, Xin Xie, Lina Lei, Haiyan Fu, Yanqing Guo
The generation of smooth and continuous images between domains has recently drawn much attention in image-to-image (I2I) translation.
no code implementations • 10 Sep 2023 • Guisheng Liu, Yi Li, Zhengcong Fei, Haiyan Fu, Xiangyang Luo, Yanqing Guo
While impressive performance has been achieved in image captioning, the limited diversity of the generated captions and the large parameter scale remain major barriers to the real-word application of these systems.
1 code implementation • CVPR 2022 • Xin Xie, Yi Li, Huaibo Huang, Haiyan Fu, Wanwan Wang, Yanqing Guo
Style transfer has been well studied in recent years with excellent performance processed.
no code implementations • 26 Dec 2018 • Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li, Ran He
Deep learning based facial attribute analysis consists of two basic sub-issues: facial attribute estimation (FAE), which recognizes whether facial attributes are present in given images, and facial attribute manipulation (FAM), which synthesizes or removes desired facial attributes.
no code implementations • 12 Sep 2017 • Nan Xu, Yanqing Guo, Jiujun Wang, Xiangyang Luo, Ran He
In this method, we use the subspace representations of different views to adaptively learn a consensus similarity matrix, uncovering the subspace structure and avoiding noisy nature of original data.