21 citations · 23 across the 2 of their papers we have counts for
7 papers · 1 filter
Multilinear subspace learning for person re-identification based fusion of high order tensor features
Ammar Chouchane, Mohcene Bessaoudi, Hamza Kheddar +3
Video surveillance image analysis and processing is a challenging field in computer vision, with one of its most difficult tasks being Person Re-Identification (PRe-ID). PRe-ID aim…
Enhancing Plant Disease Detection: A Novel CNN-Based Approach with Tensor Subspace Learning and HOWSVD-MD
Abdelmalik Ouamane, Ammar Chouchane, Yassine Himeur +5
Machine learning has revolutionized the field of agricultural science, particularly in the early detection and management of plant diseases, which are crucial for maintaining crop…
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…
A Powerful Face Preprocessing For Robust Kinship Verification based Tensor Analyses
Ammar chouchane, Mohcene Bessaoudi, Abdelmalik Ouamane
Kinship verification using facial photographs captured in the wild is difficult area of research in the science of computer vision. It might be used for a variety of applications,…
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…