Eric Granger
Professor
Department of Systems Engineering
Office: A-3481
Phone: 514 396-8650
eric.granger@etsmtl.ca
Eric Granger is the FRQS co-Chair in Artificial Intelligence and Digital Health for Health Behaviour Change, ETS Industrial Research co-Chair on Embedded Neural Networks for Intelligent Connected Buildings (Distech Inc.), and a Professor in the Department of Systems Engineering at Montreal’s École de technologie supérieure. He is also director of the LIVIA, a research laboratory focused on computer vision and artificial intelligence. His research expertise includes machine learning, pattern recognition, and computer vision, with applications in affective computing, biometrics, face recognition, medical imaging, and video analytics/surveillance. His contributions on the development of deep learning (DL) models for visual recognition has led to several collaborations with governmental and industrial partners like CBSA, Nuvoola, Ericsson, and Genetec Inc. Dr. Granger is an associate editor for Elsevier Pattern Recognition, Springer Nature Computer Science, and the EURASIP Journal on Image and Video Processing.
Research interests:
- Information and Communications Technologies
- Health technologies
Research areas:
- Machine learning
- Computer vision
- Pattern recognition
- Deep learning models
- Multi-modal information fusion
- Domain adaptation
- Weakly Supervised Learning
- Adaptive and Intelligent systems
- Face analysis and recognition
- Biometrics
- Medical Imaging
- Affective computing
- Computer and Network Security
- Multi-Classifier Systems
- Expression recognition
- Video Surveillance
+ Original articles in refereed journals and books chapters
«Facial expression analysis using decomposed multiscale spatiotemporal networks»de Melo, Wheidima Carneiro, Granger, Eric and Lopez, Miguel Bordallo.” |
«Audio-visual fusion for emotion recognition in the valence-arousal space using joint cross-attention»Praveen, R. Gnana, Cardinal, Patrick and Granger, Eric.” |
«A deep multiscale spatiotemporal network for assessing depression from facial dynamics»Wheidima Carneiro de Melo, Eric Granger, Abdenour Hadid” |
«Incremental multi-target domain adaptation for object detection with efficient domain transfer»Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger” |
«Deep interpretable classification and weakly-supervised segmentation of histology images via max-min uncertainty»Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger” |
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+ Papers in refereed conference proceedings
«Privileged knowledge distillation for dimensional emotion recognition in the wild»Aslam, Muhammad Haseeb, Osama Zeeshan, Muhammad, Pedersoli, Marco, Koerich, Alessandro L., Bacon, Simon and Granger, Eric.” |
«Cascaded zoom-in detector for high resolution aerial images»Meethal, Akhil, Granger, Eric and Pedersoli, Marco.” |
«TCAM: Temporal class activation maps for object localization in weakly-labeled unconstrained videos»Belharbi, Soufiane, Ben Ayed, Ismail, McCaffrey, Luke and Granger, Eric.” |
«Negative evidence matters in interpretable histology image classification»Belharbi, Soufiane, Pedersoli, Marco, Ben Ayed, Ismail, McCaffrey, Luke and Granger, Éric.” |
«Discriminative sampling of proposals in self-supervised transformers for weakly supervised object localization»Murtaza, Shakeeb, Belharbi, Soufiane, Pedersoli, Marco, Sarraf, Aydin and Granger, Eric.” |
+ Doctoral thesis
E. Granger, “Une étude des réseaux de neurones artificiels pour la classification rapide d’impulsions radars,” Ph.D. Thesis, École Polytechnique de Montréal, 243 pages, January 2002 (National Library of Canada, ISBN: 0-612-71310-5). |
Granger, E., Gorodnichy, D.O.,. (2014). Evaluation methodology for face recognition technology in video surveillance applications. 36. Canadian Border Services Agency, Border Technology Division, Division Report 2014-29 |
Granger, E., Radtke, P., Gorodnichy, D.O.(2014). Survey of academic research and prototypes for
face recognition in video. 40. Canadian Border Services Agency, Border Technology Division, Division Report 2014-25
|
Neves, E., Gorodnichy, D.O., Matwin, S., Granger, E.(2014). Evaluation of different features for face recognition in video. 30. Canadian Border Services Agency, Border Technology Division, Division Report 2014-31 |
Granger, E., Gorodnichy, D.O., Choy, E., Khreich, W., Radtke, P., Bergeron, J.-P., Bissessar, D.(2014). Results from evaluation of three commercial off-the-shelf face recognition systems on Chokepoint dataset. 30. Canadian Border Services Agency, Border Technology Division, Division Report 2014-27 |
Gorodnichy, D.O., Granger, E., Radtke, P.,. (2014). Survey of commercial technologies for face recognition in video. 30. Canadian Border Services Agency, Border Technology Division, Division Report 2014-22 |
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Éric
Granger
Research & Innovation
Contact Us
Pavillon Principal (A)
1100, rue Notre-Dame Ouest
Montréal, QC, H3C 1K3
Room A-3600
Tel.: +1 (514) 396-8650
E-Mail: eric.granger@etsmtl.ca