3 papers
cs.CV2023
Advancing Person Re-Identification: Tensor-based Feature Fusion and Multilinear Subspace Learning
Akram Abderraouf Gharbi, Ammar Chouchane, Abdelmalik Ouamane
Person re-identification (PRe-ID) is a computer vision issue, that has been a fertile research area in the last few years. It aims to identify persons across different non-overlapp…
cs.CV2023
Enhancing Person Re-Identification through Tensor Feature Fusion
Akram Abderraouf Gharbi, Ammar Chouchane, Mohcene Bessaoudi +2
In this paper, we present a novel person reidentification (PRe-ID) system that based on tensor feature representation and multilinear subspace learning. Our approach utilizes pretr…
cs.CV2023
Fusion of Deep and Shallow Features for Face Kinship Verification
Belabbaci El Ouanas, Khammari Mohammed, Chouchane Ammar +3
Kinship verification from face images is a novel and formidable challenge in the realms of pattern recognition and computer vision. This work makes notable contributions by incorpo…