no code implementations • 6 May 2022 • Liangbin Xie. Xintao Wang, Honglun Zhang, Chao Dong, Ying Shan
As a consequence, the VFSR models trained on this dataset can not output visual-pleasing results.
no code implementations • CVPR 2022 • Xixi Xu, Zhongang Qi, jianqi ma, Honglun Zhang, Ying Shan, XiaoHu Qie
Current researches mainly focus on only English characters and digits, while few work studies Chinese characters due to the lack of public large-scale and high-quality Chinese datasets, which limits the practical application scenarios of text segmentation.
1 code implementation • ICCV 2021 • Yanze Wu, Xintao Wang, Yu Li, Honglun Zhang, Xun Zhao, Ying Shan
Codes are available at https://github. com/ToTheBeginning/GCP-Colorization.
1 code implementation • CVPR 2021 • Xintao Wang, Yu Li, Honglun Zhang, Ying Shan
Blind face restoration usually relies on facial priors, such as facial geometry prior or reference prior, to restore realistic and faithful details.
Ranked #2 on Blind Face Restoration on CelebA-Test
no code implementations • 16 Sep 2020 • Lijian Lin, Haosheng Chen, Honglun Zhang, Jun Liang, Yu Li, Ying Shan, Hanzi Wang
Video object detection is a tough task due to the deteriorated quality of video sequences captured under complex environments.
1 code implementation • 2 Jul 2019 • Honglun Zhang, Wenqing Chen, Hao He, Yaohui Jin
Facial makeup transfer is a widely-used technology that aims to transfer the makeup style from a reference face image to a non-makeup face.
no code implementations • 19 Nov 2018 • Honglun Zhang, Wenqing Chen, Jidong Tian, Yongkun Wang, Yaohui Jin
Recently unpaired multi-domain image-to-image translation has attracted great interests and obtained remarkable progress, where a label vector is utilized to indicate multi-domain information.
no code implementations • EMNLP 2018 • Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin
Multi-task learning has an ability to share the knowledge among related tasks and implicitly increase the training data.
no code implementations • COLING 2018 • Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin
Neural network based multi-task learning has achieved great success on many NLP problems, which focuses on sharing knowledge among tasks by linking some layers to enhance the performance.
no code implementations • NAACL 2018 • Liqiang Xiao, Honglun Zhang, Wenqing Chen
This success can be largely attributed to the feature sharing by fusing some layers among tasks.
no code implementations • EMNLP 2018 • Honglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang, Yaohui Jin
Multi-task learning in text classification leverages implicit correlations among related tasks to extract common features and yield performance gains.
no code implementations • 10 Jul 2017 • Honglun Zhang, Liqiang Xiao, Yongkun Wang, Yaohui Jin
Multi-task learning leverages potential correlations among related tasks to extract common features and yield performance gains.
no code implementations • 27 Apr 2017 • Honglun Zhang, Haiyang Wang, Xiaming Chen, Yongkun Wang, Yaohui Jin
P2P lending presents as an innovative and flexible alternative for conventional lending institutions like banks, where lenders and borrowers directly make transactions and benefit each other without complicated verifications.