F
Fei Ma
Researcher at Wuhan University
Publications - 17
Citations - 177
Fei Ma is an academic researcher from Wuhan University. The author has contributed to research in topics: Feature (computer vision) & Linear discriminant analysis. The author has an hindex of 6, co-authored 17 publications receiving 124 citations. Previous affiliations of Fei Ma include Qufu Normal University & Pingdingshan University.
Papers
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Journal ArticleDOI
Multi-spectral low-rank structured dictionary learning for face recognition
TL;DR: This paper introduces the multi-view dictionary learning technique into the field of multi-spectral face recognition and proposes a multi-Spectral low-rank structured dictionary learning (MLSDL) approach, which learns multiple structured dictionaries, including a spectrum-common dictionary and multiple spectrum-specific dictionaries.
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True-Color and Grayscale Video Person Re-Identification
TL;DR: Extensive evaluations demonstrate that the collected CGVID dataset is very challenging and can be used for further research on person re-identification and outperforms the compared methods on the CGVPR task.
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Low illumination person re-identification
TL;DR: A novel triplet-based manifold discriminative distance learning (TMD2L) approach for LIVPR, which aims to learn a manifold-based distance metric under which the intrinsic structure of image sets can be preserved, and the distance between truly matching sets is smaller than that between wrong matching sets.
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Multi-orientation and multi-scale features discriminant learning for palmprint recognition
TL;DR: A multi-orientation and multi-scale features discriminant learning (MOSDL) approach for palmprint recognition, which can fuse different orientation and scale feature information effectively in the discriminantlearning process.
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Scale-fusion framework for improving video-based person re-identification performance
Li Cheng,Xiao-Yuan Jing,Xiao-Yuan Jing,Xiaoke Zhu,Xiaoke Zhu,Fei Ma,Fei Ma,Chang-Hui Hu,Ziyun Cai,Fumin Qi +9 more
TL;DR: A novel hybrid 2D and 3D convolution-based recurrent neural network (HCRN) for video-based person re-id task that can explore the local short-term fast-varying motion information and leverage the global long-term spatial–temporal information.