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Hamza Kchok
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2020 – today
- 2026
[c6]Hamza Kchok, Hachem Souiher, Ilhem Fajjari, Nadjib Aitsaadi:
Deployment-Oriented Model Optimization for real-time 3D Hand Reconstruction in 5G Edge AI Virtual Try-On. GIIS 2026: 1-7- 2025
[b1]Hamza Kchok:
Edge AI and 5G Network as Enablers for Immersive Virtual Try-On Applications. (IA en périphérie et réseau 5G pour les applications d'essayage virtuel immersif). University of Paris-Saclay, France, 2025
[c5]Razine Missara, Hadi Yakan, Hamza Kchok, Ilhem Fajjari, Nadjib Aitsaadi:
Misbehavior Detection System in V2X 5G Edge Networks based on Transformer. GIIS 2025: 1-6
[c4]Hamza Kchok, Ilhem Fajjari, Faten Chaieb, Nadjib Aitsaadi, Mourad Guéroui, Richard Li:
A Novel Lightweight Deep-Learning Offloading Scheme for Try-On in 5G-Edge Network. ICC 2025: 1494-1499
[c3]Hamza Kchok, Ilhem Fajjari, Faten Chaieb, Nadjib Aitsaadi, Mourad Guéroui, Richard Li:
A Novel Multi-User Deep-Learning Offloading Scheme for Virtual Try-On in 5G-Edge Networks. ICC 2025: 2797-2802
[c2]Hamza Kchok, Ilhem Fajjari, Nadjib Aitsaadi, Mourad Guéroui, Faten Chaieb, Richard Li:
A Novel Adaptive Hybrid AI Deployment for Virtual Try-On Applications in 5G-Edge Networks. MSWiM 2025: 46-53- 2021
[c1]Rasha Friji, Hassen Drira, Faten Chaieb
, Hamza Kchok, Sebastian Kurtek:
Geometric Deep Neural Network using Rigid and Non-Rigid Transformations for Human Action Recognition. ICCV 2021: 12591-12600- 2020
[i1]Rasha Friji, Hassen Drira, Faten Chaieb
, Sebastian Kurtek, Hamza Kchok:
KShapeNet: Riemannian network on Kendall shape space for Skeleton based Action Recognition. CoRR abs/2011.12004 (2020)
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