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Stan Z. Li
Researcher at Westlake University
Publications - 625
Citations - 49737
Stan Z. Li is an academic researcher from Westlake University. The author has contributed to research in topics: Facial recognition system & Computer science. The author has an hindex of 97, co-authored 532 publications receiving 41793 citations. Previous affiliations of Stan Z. Li include Microsoft & Macau University of Science and Technology.
Papers
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Journal ArticleDOI
Bayesian shape model for facial feature extraction and recognition
TL;DR: Experimental results demonstrate that the proposed BSM facial feature extraction algorithm is more accurate and effective as compared to that of the active shape model (ASM).
Journal ArticleDOI
Large-Scale Bisample Learning on ID Versus Spot Face Recognition
TL;DR: Wang et al. as mentioned in this paper proposed a deep learning based large-scale bisample learning (LBL) method for ID versus Spot (IvS) face recognition, where a classification-verification-classification training strategy is proposed to progressively enhance the IvS performance.
Proceedings ArticleDOI
A near-infrared image based face recognition system
TL;DR: In this paper, a near infrared (NIR) image-based face recognition system is presented, where both face and facial feature localization and face recognition are performed using local features with AdaBoost learning.
Proceedings Article
Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification.
TL;DR: A novel coding method named weighted linear coding (WLC) to learn multi-level descriptors from raw pixel data in an unsupervised manner that guarantees the property of saliency with a similarity constraint and has a good balance between the robustness and distinctiveness.
Book ChapterDOI
Fusion of near infrared face and Iris biometrics
TL;DR: A method for fusing face and iris biometrics using single near infrared (NIR) image and results give promising results are presented.