1 code implementation • 27 Jul 2023 • Min Ren, Yunlong Wang, Yuhao Zhu, Kunbo Zhang, Zhenan Sun
Occlusion is a common problem with biometric recognition in the wild.
no code implementations • 25 Feb 2023 • Jawad Muhammad, Yunlong Wang, Junxing Hu, Kunbo Zhang, Zhenan Sun
The database contains 28, 717 images of 1023 African subjects (2046 iris classes) with age, gender, and ethnicity attributes that can be useful in demographically sensitive studies of Africans.
no code implementations • 11 Nov 2022 • Kaiduo Zhang, Muyi Sun, Jianxin Sun, Binghao Zhao, Kunbo Zhang, Zhenan Sun, Tieniu Tan
In this paper, we propose HumanDiffusion, a coarse-to-fine alignment diffusion framework, for text-driven person image generation.
1 code implementation • 29 Jun 2021 • Leyuan Wang, Kunbo Zhang, Yunlong Wang, Zhenan Sun
To accommodate users at different distances, it is necessary to control focus quickly and accurately.
no code implementations • 8 May 2021 • Jawad Muhammad, Yunlong Wang, Caiyong Wang, Kunbo Zhang, Zhenan Sun
The proposed database along with its face landmark annotations, evaluation protocols and preliminary results form a good benchmark to study the essential aspects of face biometrics for African subjects, especially face image preprocessing, face feature analysis and matching, facial expression recognition, sex/age estimation, ethnic classification, face image generation, etc.
no code implementations • 19 Nov 2020 • Kunbo Zhang, Zhenteng Shen, Yunlong Wang, Zhenan Sun
In this study, we develop a novel all-in-focus iris imaging system using a focus-tunable lens and a 2D steering mirror to greatly extend capture volume by spatiotemporal multiplexing method.
1 code implementation • 1 Sep 2020 • Leyuan Wang, Kunbo Zhang, Min Ren, Yunlong Wang, Zhenan Sun
The quality metric proposed in this paper can significantly improve the performance of the recognition algorithm while reducing the number of images discarded for recognition, which is advantageous over hand-crafted factors based iris quality assessment methods.
no code implementations • 18 Mar 2020 • Yu Tian, Kunbo Zhang, Leyuan Wang, Zhenan Sun
Extensive experiments demonstrate the advantages of the PAAS technique to counter diverse face spoofing attacks (print, replay, mask) in uncontrolled indoor and outdoor conditions by learning polarized face images of 33 people.