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Étudiants
Name
Program
Advisor
Research
@
Hoel Kervadec
Postdoctoral fellow
Ismail Ben Ayed and Jose Dolz
Deep learning models for medical image segmentation.
Soufiane Belharbi
Postdoctoral fellow
Eric Granger, Ismail Ben Ayed, and Luke McCaffrey (Mcgill)
Weakly supervised deep learning in biological/medical image analysis.
Imtiaz Ziko
Postdoctoral fellow
Ismail ben Ayed and Eric Granger
Efficient clustering for large scale applications.
Le Thanh Nguyen-Meidine
PhD
Eric Granger
CNN compression, Domain Adaptation for Classification and Object Detection.
Boudiaf Malik
PhD
Ismail ben Ayed and Pablo Piantanida
Information Theory, Computer Vision and Optimization.
Madhu Kiran
PhD
Eric Granger
Head tracking for real-time video surveillance applications.
Faniya Mokhayeri
PhD
E. Granger, G.-A. Bilodeau
Synthetic Face Generation for Still to Video Face Recognition.
Roghayeh Soleymani
PhD
Eric Granger and Giorgio Fumera
Machine Learning, Imbalanced Data, Classifier Ensembles, Performance Measurement, Video-Based Face Recognition, Deep Learning..
Kuldeep Kumar
PhD
Christian Desrosiers
Human brain fingerprinting, Medical Image Analysis, Brain Connectivity.
ALLOGNON Odilon
PhD
Alessandro lameiras-Koerich
Deep learning; Multimodal; Pattern Recognition.
Alexandre Reeberg de Mello
PhD
Alessandro Lameiras Koerich
Incremental multicategory SVM for streaming imbalanced data.
Abdusami Abdurahman
PhD
Patrick Cardinal
Language Identification.
Patrice Boucher
PhD
Patrick Cardinal
Human Stress Modelisation.
Hiba ZAKANE
Ph.D.
Robert Sabourin
Optimizing the dynamic selection systems (Pattern Recognition, Mathematical Optimization, Multiple Classifier Systems).
Karthik Gopinath
Ph.D.
Hervé Lombaert and Christian Desrosiers
Geometric Deep learning and shape analysis for medical image analysis.
Saypraseuth Mounsaveng
Ph.D.
Marco Pedersoli
Clustering methods for weakly supervised image segmentation.
Akhil P M
PhD
Marco Pedersoli, Eric Granger
Object Detection with Weakly-supervised Deep Architectures.
Gnana Praveen R
PhD
Eric Granger and Patrick Cardinal
Weakly Supervised Learning for SpatioTemporal Expression Recognition.
Bach Kim
PhD
Jose Dolz, Christian Desrosiers and Pierre-Marc Jodoin (Univ. of Sherbrooke)
Privacy preserving for continual learning.
Abdur R Fayjie
PhD
Jose Dolz and Ismail Ben Ayed
Few shot semantic segmentation.
Sukesh Adiga
PhD
Jose Dolz and Hervé Lombaert
Geometry of Medical Imaging Data in very Large Datasets.
Steve Tsham Mpinda Ataky
PhD
Alessandro Koerich
A large-scale breast mass analysis and diagnosis based on machine learning and deep-learning techniques.
Jonathan de Matos
PhD
Alessandro Koerich
Multi-View Deep Neural Networks.
Mohammad Esmaeilpour
PhD
Alessandro Koerich
Towards Deep Learning Models Robust to Adversarial Attacks.
Sevegni Odilon Clement Allognon
PhD
Alessandro Koerich
Deep Multimodal Representation Learning from Raw Data.
Voncarlos Marcelo de Araujo
PhD
Alessandro Koerich
Hierarchical Deep Neural Networks.
Sajjad Abdoli
PhD
Alessandro Koerich
Novel Deep Architectures for Audio Processing.
Thiago Paixão
PhD
Alessandro Koerich
Self-supervised Deep Reconstruction of Mixed Strip-shredded Text Documents.
Rafooneh Jafarian Bahri
MSc
Patrick Cardinal and Eric Granger
Affective Computing using Machine learning.
Jerome Rony
PhD
Ismail Ben Ayed, Jose Dolz and Éric Granger
Weakly-supervised models for breast cancer prediction.
Marzieh Rokooie
MSc
Matthew Toews
Medical Image Visualization.
Francis Charette Migneault
M. Ing.
Éric Granger
Real-Time Face Recognition in Video from a Single Sample Per Person.
Juan David Silva Ortega
MSc
Patrick Cardinal
Fusion methods in Emotion Detection.
Frank Hafner
MSc
Eric Granger
Person Re-Identification between Sensors.
Mohsen Benlazreg
MSc
Matthew Toews
Automatic classification of medical images for computer-assisted diagnosis
Bruce Cyusa Mukama
MSc
Jose Dolz and Ismail Ben Ayed
Curriculum semantic segmentation.
Jauffray Bruneton
MSc
Jose Dolz
Active domain adaptation with quality control segmentation on unlabelled data.
Wissam Salamé
MSc
Jose Dolz and Marco Pedestroli
Efficient search of optimal neural networks.
Tiphaine Diot
MSc
Jose Dolz and Christian Desrosiers
Machine Learning for a system to analyse neurological disorders.
Mounir Mazouari
MSc
Alessandro Koerich
Predictive Model for Train Engine Maintenance.
Karl Ritchie
MSc
Alessandro Koerich
An SVM Algorithm for Distributed Machine Learning.
Mehdi Alloune
MSc
Alessandro Koerich
1D CNN Architectures for Music Emotion Recognition.
Thomas Teixeira
MSc
Alessandro Koerich
Space-Temporal DNNs for Facial Expression Recognition.
Djebril Mekhazni
MSc
Eric Granger
Unsupervised Domain Adaptation for Person Re-identification.