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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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Proceedings ArticleDOI
Detection of corners on 3D space curves
TL;DR: A quantitative measure is proposed to define the "cornerness" of a 3D curve at a curve point, which has the advantage of being more stable and causing much less shape distortion than the traditional smoothing methods.
Journal ArticleDOI
Dependence-Aware Feature Coding for Person Re-Identification
TL;DR: A novel dependence-aware feature coding framework is proposed for person re-identification by employing the Hilbert–Schmidt independence criterion as the discriminative term to explore the dependence between different kinds of person pairs.
Posted Content
SADet: Learning An Efficient and Accurate Pedestrian Detector
TL;DR: A series of systematic optimization strategies for the detection pipeline of one-stage detector, forming a single shot anchor-based detector (SADet) for efficient and accurate pedestrian detection, which includes three main improvements.
Posted Content
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes
TL;DR: Zhang et al. as discussed by the authors designed a mask-guided module to leverage the head information to enhance the feature representation learning of the backbone network and developed a strict classification criterion by improving the quality of positive samples during training to eliminate common false positives.
Proceedings ArticleDOI
Automated feature points management for video mosaic construction
TL;DR: A two level automatic feature points management method for constructing a seamless entire panorama from video sequence that is able to achieve robust and fast mosaicing result while maintain the most valuable information of the scene.