4 papers
Learning to Attract and Repel: Dual Quality Margin Learning for Face Recognition (DQM-Face)
El Ouanas Belabbaci, Bhavesh Wani, Philipp Terhörst
Face recognition in unconstrained environments remains highly challenging due to diverse and extreme variations encountered in real-world scenarios. To mitigate these effects, exis…
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…
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…
Enhancing Kinship Verification through Multiscale Retinex and Combined Deep-Shallow features
El Ouanas Belabbaci, Mohammed Khammari, Ammar Chouchane +5
The challenge of kinship verification from facial images represents a cutting-edge and formidable frontier in the realms of pattern recognition and computer vision. This area of st…