Abdessamad Ben Hamza, PhD
- Professor, Concordia Institute for Information Systems Engineering
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Sign in to editResearch areas: Computer Vision; Artificial Intelligence; Geometric Deep Learning; Image Processing and Medical Imaging; Graph Signal Processing
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Biography
Education
Ph.D. (2003) Electrical and Computer Engineering, North Carolina State University, USAResearch interests
- Computer Vision
- Artificial Intelligence
- Geometric Deep Learning
- Image Processing
- Graph Signal Processing
Publications
A federated large language model for long-term time series forecasting
R. Abdel-Sater and A. Ben Hamza
Proc. European Conference on Artificial Intelligence (ECAI), 2024.
Learning to recognize occluded and small objects with partial inputs
H. Zunair and A. BenHamza
Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
PEEKABOO: Hiding parts of an image for unsupervised object localization
H. Zunair and A. Ben Hamza
Proc. British Machine Vision Conference (BMVC), 2024.
Flexible graph convolutional network for 3D human pose estimation
ATM. Shahjahan and A. Ben Hamza
Proc. British Machine Vision Conference (BMVC), 2024.
Spatio-temporal MLP-graph network for 3D human pose estimation
T. Hassan and A. Ben HamzaProc. British Machine Vision Conference (BMVC), 2023.
Masked supervised learning for semantic segmentation
H. Zunair and A. Ben HamzaProc. 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 HamzaProc. British Machine Vision Conference (BMVC), 2022.
Higher-order implicit fairing networks for 3D human pose estimation
J. Quan and A. Ben HamzaProc. British Machine Vision Conference (BMVC), 2021.
A federated learning approach to anomaly detection in smart buildings
R. Abdel Sater and A. Ben HamzaACM Transactions on Internet of Things, 2021.
MoNuSAC2020: A Multi-organ nuclei segmentation and classification challenge
R. Verma et al.IEEE Transactions on Medical Imaging, 2021.
Synthetic COVID-19 chest X-ray dataset for computer-aided diagnosis
H. Zunair and A. Ben HamzaProc. ICML Workshop on Computational Biology, 2021.
STAR: Noisy semi-supervised transfer learning for visual classification
H. Zunair, Y. Gobeil, S. Mercier and A. Ben HamzaProc. ACM International Workshop on Multimedia Content Analysis in Sports, 2021
Sharp U-Net: Depthwise convolutional network for biomedical image segmentation
H. Zunair and A. Ben HamzaComputers in Biology and Medicine, 2021.
Anisotropic Graph Convolutional Network for Semi-supervised Learning
M. Mesgaran and A. Ben HamzaIEEE Transactions on Multimedia, 2020.
Melanoma detection using adversarial training and deep transfer learning
H. Zunair and A. Ben HamzaPhysics in Medicine & Biology, 2020.
A global geometric framework for 3D shape retrieval using deep learning
L. Luciano and A. Ben HamzaComputers & Graphics, 2019.
Deep learning with geodesic moments for 3D shape classification
L. Luciano and A. Ben HamzaPattern Recognition Letters, 2018.
Spectral shape classification: A deep learning approach
M. Masoumi and A. Ben HamzaJournal 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 HamzaInternational Journal of Multimedia Information Retrieval, 2016.
Geometric methods in signal and image analysis
H. Krim and A. Ben HamzaCambridge University Press, 2015.
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