no code implementations • 30 May 2024 • Abdelmalik Ouamane, Ammar Chouchane, Yassine Himeur, Abderrazak Debilou, Abbes Amira, Shadi Atalla, Wathiq Mansoor, Hussain Al Ahmad
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 health and productivity.
no code implementations • 17 Mar 2024 • Yassine Habchi, Hamza Kheddar, Yassine Himeur, Abdelkrim Boukabou, Ammar Chouchane, Abdelmalik Ouamane, Shadi Atalla, Wathiq Mansoor
The growing interest in developing smart diagnostic systems to help medical experts process extensive data for treating incurable diseases has been notable.
no code implementations • 24 Dec 2023 • 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.
no code implementations • 18 Dec 2023 • 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.
no code implementations • 16 Dec 2023 • Belabbaci El Ouanas, Khammari Mohammed, Chouchane Ammar, Mohcene Bessaoudi, Abdelmalik Ouamane, Akram Abderraouf Gharbi
Kinship verification from face images is a novel and formidable challenge in the realms of pattern recognition and computer vision.
no code implementations • 16 Dec 2023 • Akram Abderraouf Gharbi, Ammar Chouchane, Mohcene Bessaoudi, Abdelmalik Ouamane, El Ouanas Belabbaci
In this paper, we present a novel person reidentification (PRe-ID) system that based on tensor feature representation and multilinear subspace learning.
no code implementations • 6 Dec 2023 • El Ouanas Belabbaci, Mohammed Khammari, Ammar Chouchane, Mohcene Bessaoudi, Abdelmalik Ouamane, Yassine Himeur, Shadi Atalla, Wathiq Mansoor
The challenge of kinship verification from facial images represents a cutting-edge and formidable frontier in the realms of pattern recognition and computer vision.
no code implementations • 25 Aug 2023 • Yassine Habchi, Yassine Himeur, Hamza Kheddar, Abdelkrim Boukabou, Shadi Atalla, Ammar Chouchane, Abdelmalik Ouamane, Wathiq Mansoor
There has been a growing interest in creating intelligent diagnostic systems to assist medical professionals in analyzing and processing big data for the treatment of incurable diseases.
no code implementations • 1 Jul 2023 • Ammar Chouchane, Abdelmalik Ouamane, Yassine Himeur, Wathiq Mansoor, Shadi Atalla, Afaf Benzaibak, Chahrazed Boudellal
For example, without normalization, the rank-20 rate accuracies of the GRID, CUHK01, VIPeR and PRID450S datasets were 61. 92%, 83. 90%, 92. 03%, 96. 22%; however, after score normalization, they have increased to 64. 64%, 89. 30%, 92. 78%, and 98. 76%, respectively.
no code implementations • 1 Jun 2020 • Oualid Laiadi, Abdelmalik Ouamane, Abdelhamid Benakcha, Abdelmalik Taleb-Ahmed, Abdenour Hadid
We refer that we used the SSC method in RFIW'20 competition using the eight deep features concatenation.