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Advancing Person Re-Identification: Tensor-based Feature Fusion and Multilinear Subspace Learning
Person re-identification (PRe-ID) is a computer vision issue, that has been a fertile research area in the last few years.
Enhancing Person Re-Identification through Tensor Feature Fusion
In this paper, we present a novel person reidentification (PRe-ID) system that based on tensor feature representation and multilinear subspace learning.
Fusion of Deep and Shallow Features for Face Kinship Verification
Kinship verification from face images is a novel and formidable challenge in the realms of pattern recognition and computer vision.
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