Výsledky vyhledávání - "Gharbi, Akram"

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Advancing Person Re-Identification: Tensor-based Feature Fusion and Multilinear Subspace Learning

Autor: Gharbi, Akram Abderraouf, Chouchane, Ammar, Ouamane, Abdelmalik

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-overlapping camera views. In this paper, We propose a novel PRe-ID system that

Externí odkaz: http://arxiv.org/abs/2312.16226

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Enhancing Person Re-Identification through Tensor Feature Fusion

Autor: Gharbi, Akram Abderraouf, Chouchane, Ammar, Bessaoudi, Mohcene, Ouamane, Abdelmalik, Belabbaci, El ouanas

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 pretrained CNNs for high-level feature extraction, along with Local Maximal

Externí odkaz: http://arxiv.org/abs/2312.10470

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Fusion of Deep and Shallow Features for Face Kinship Verification

Autor: Ouanas, Belabbaci El, Mohammed, Khammari, Ammar, Chouchane, Bessaoudi, Mohcene, Ouamane, Abdelmalik, Gharbi, Akram Abderraouf

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 incorporating a preprocessing technique known as Multiscale Retinex (MSR), wh

Externí odkaz: http://arxiv.org/abs/2312.10462

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