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Abdessamad Ben Hamza, PhD

Professor, Concordia Institute for Information Systems Engineering

Office: S-EV 7631  
Engineering, Computer Science and Visual Arts Integrated Complex,
1515 St. Catherine W.
Phone: (514) 848-2424 ext. 5383
Website(s): A. Ben Hamza


Ph.D. (2003) Electrical and Computer Engineering, North Carolina State University, USA

Research interests

  • Computer Vision
  • Artificial Intelligence
  • Geometric Deep Learning
  • Image Processing
  • Graph Signal Processing


Masked supervised learning for semantic segmentation

H. Zunair and A. Ben Hamza
British Machine Vision Conference (BMVC), 2022.

Fill in Fabrics: Body-aware self-supervised inpainting for image-based virtual try-on

H. Zunair, Y. Gobeil, S. Mercier, and A. Ben Hamza
Proc. British Machine Vision Conference (BMVC), 2022.

Higher-order implicit fairing networks for 3D human pose estimation

J. Quan and A. Ben Hamza
Proc. British Machine Vision Conference (BMVC), 2021.

A federated learning approach to anomaly detection in smart buildings

R. Abdel Sater and A. Ben Hamza
ACM Transactions on Internet of Things, 2021.

Synthetic COVID-19 chest X-ray dataset for computer-aided diagnosis

H. Zunair and A. Ben Hamza
Proc. ICML Workshop on Computational Biology, 2021.

STAR: Noisy semi-supervised transfer learning for visual classification

H. Zunair, Y. Gobeil, S. Mercier and A. Ben Hamza
Proc. ACM International Workshop on Multimedia Content Analysis in Sports, 2021

MoNuSAC2020: A Multi-organ nuclei segmentation and classification challenge

R. Verma et al.
IEEE Transactions on Medical Imaging, 2021.

Sharp U-Net: Depthwise convolutional network for biomedical image segmentation

H. Zunair and A. Ben Hamza
Computers in Biology and Medicine, 2021.

Anisotropic Graph Convolutional Network for Semi-supervised Learning

M. Mesgaran and A. Ben Hamza
IEEE Transactions on Multimedia, 2020.

Melanoma detection using adversarial training and deep transfer learning

H. Zunair and A. Ben Hamza
Physics in Medicine & Biology, 2020.

A global geometric framework for 3D shape retrieval using deep learning

L. Luciano and A. Ben Hamza
Computers & Graphics, 2019.

Deep learning with geodesic moments for 3D shape classification

L. Luciano and A. Ben Hamza
Pattern Recognition Letters, 2018.

Spectral shape classification: A deep learning approach

M. Masoumi and A. Ben Hamza
Journal of Visual Communication and Image Representation, 2017.

Shape retrieval of non-rigid 3D human models

D. Pickup et al.
International Journal of Computer Vision, 2016.

Deep shape-aware descriptor for nonrigid 3D object retrieval

H. Ghodrati and A. Ben Hamza
International Journal of Multimedia Information Retrieval, 2016.

Geometric methods in signal and image analysis

H. Krim and A. Ben Hamza
Cambridge University Press, 2015.

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