ABOUELAZIZ Ilyass

Research team

Engineering and Numerical Tools

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Educational activities

Research interests

• Point cloud processing
• Mesh quality assessment 
• Deep learning 
• Building information modeling 
• Computer vision 

Thesis supervision

• PhD candidate : Hafsa Benallal 
• Subject : point cloud segmentation and denoising for building information modeling

 

Scientific animation

• Reviewer : Optics Express – Optica Publishing Group 2022
• Reviewer : IEEE International Conference on Image Processing 2020
• Student committee: International Conference on Advanced Technologies for Signal and Image Processing (ATSIP 2017)
• Scientific committee: Sciences of Electronics, Technologies of Information and Telecommunications (SETIT 2016 – SETIT 2017) 
• Organisation committee :   URAC day, faculté des sciences de Rabat, November 28, 2015.

Publications

• I. Abouelaziz, A. Chetouani, M. EL Hassouni, L.J Latecki ,H. Cherifi ”Learning graph convolutional network for blind mesh visual quality assessment” IEEE Access (2021).
• I. Abouelaziz, A. Chetouani, M. EL Hassouni, L.J Latecki ,H. Cherifi ”No-reference mesh visual quality assessment via ensemble of convolutional neural networks and compact multi-linear pooling” Pattern Recognition (2020)
• I. Abouelaziz, A. Chetouani, M. EL Hassouni, L.J Latecki ,H. Cherifi ”3D visual saliency and convolutional neural network for blind mesh quality assessment ” Neural Computing and Applications (2019).
• I. Abouelaziz, M. EL Hassouni, H. Cherifi ” Blind 3D mesh visual quality assessment using support vector regression” Multimedia Tools and Applications (2018): 1-22.
• I. Abouelaziz,A. Chetouani, M. EL Hassouni, L.J Latecki ,H. Cherifi ” mesh visual quality based on the combination of convolutional neural networks” in: The International Conference on Image Processing Theory, Tools and Applications, (IPTA) 2019.
•  I. Abouelaziz,A. Chetouani, M. EL Hassouni, L.J Latecki ,H. Cherifi ” Convolutional neural network for blind mesh visual quality assessment using 3D visual saliency ” in: The 2018 IEEE International Conference on Image Processing, ICIP 2018.
• I. Abouelaziz, A. Chetouani, M. EL Hassouni, H. Cherifi ” A blind mesh visual quality assessment method based on convolutional neural network ”, in: IS & T International Symposium on Electronic Imaging, EI 2018; Burlingame, California, USA.
• I. Abouelaziz, A. Chetouani, M. EL Hassouni, H. Cherifi ” Mesh visual quality assessment Metrics: A Comparison Study ”, in: 13th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2017; Jaipur, India.
• I. Abouelaziz, M. EL Hassouni, H. Cherifi ”A convolutional neural network framework for blind mesh visual quality assessment”, in: The 2017 IEEE International Conference on Image Processing, ICIP 2017.
• I. Abouelaziz, M. EL Hassouni, H. Cherifi ” A Curvature based method for blind mesh visual quality assessment using a general regression neural network”, in: 12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016; Naples, Italy.
• I. Abouelaziz, M. EL Hassouni, H. Cherifi ”No-reference 3D mesh quality assessment based on dihedral angles model and support vector regression”, in : International Conference on Image and Signal Processing (ICISP 2016); Trois-Rivière – Canada
• I. Abouelaziz, M. Omari, M. EL Hassouni, H. Cherifi ”Reduced reference 3D mesh quality assessment based on statistical models”, in : Signal-Image Technology & Internet-Based Systems (SITIS), International Conference on. IEEE, November 2015 Bangkok- Thailande.
• I. Abouelaziz, M. EL Hassouni, ”New Models of Visual Saliency : Contourlet Transform Based Model and Hybrid Model”, in IEEE Intelligent Systems and Computer Vision (ISCV), March 2015 Fez-Morocco.