no code implementations • 5 Feb 2024 • Yunfang Niu, Dong Yi, Lingxiang Wu, Zhiwei Liu, Pengxiang Cai, Jinqiao Wang
Virtual try-on can significantly improve the garment shopping experiences in both online and in-store scenarios, attracting broad interest in computer vision.
no code implementations • 8 Jun 2018 • Xiangyu Zhu, Hao liu, Zhen Lei, Hailin Shi, Fan Yang, Dong Yi, Guo-Jun Qi, Stan Z. Li
In this paper, we propose a deep learning based large-scale bisample learning (LBL) method for IvS face recognition.
no code implementations • CVPR 2015 • Xiangyu Zhu, Zhen Lei, Junjie Yan, Dong Yi, Stan Z. Li
Pose and expression normalization is a crucial step to recover the canonical view of faces under arbitrary conditions, so as to improve the face recognition performance.
no code implementations • 9 Apr 2015 • Guosheng Hu, Yongxin Yang, Dong Yi, Josef Kittler, William Christmas, Stan Z. Li, Timothy Hospedales
In this work, we conduct an extensive evaluation of CNN-based face recognition systems (CNN-FRS) on a common ground to make our work easily reproducible.
13 code implementations • 28 Nov 2014 • Dong Yi, Zhen Lei, Shengcai Liao, Stan Z. Li
The current situation in the field of face recognition is that data is more important than algorithm.
no code implementations • 18 Jul 2014 • Dong Yi, Zhen Lei, Stan Z. Li
Compared to existing researches, a more practical setting is studied in the experiments that is training and test on different datasets (cross dataset person re-identification).
no code implementations • 5 Jun 2014 • Dong Yi, Zhen Lei, Shengcai Liao, Stan Z. Li
For NIR-VIS problem, we produce new state-of-the-art performance on the CASIA HFB and NIR-VIS 2. 0 databases.
no code implementations • CVPR 2014 • Longyin Wen, Wenbo Li, Junjie Yan, Zhen Lei, Dong Yi, Stan Z. Li
Multi-target tracking is an interesting but challenging task in computer vision field.
no code implementations • CVPR 2013 • Dong Yi, Zhen Lei, Stan Z. Li
In this paper, we propose a novel method for pose robust face recognition towards practical applications, which is fast, pose robust and can work well under unconstrained environments.
no code implementations • 28 Feb 2013 • Dong Yi, Zhen Lei, Yang Hu, Stan Z. Li
However, the use of this method is very generic and not limited in face recognition, which can be easily generalized to other biometrics as a post-processing module.