Eric Granger
Professor
Department of Systems Engineering
Office: A-3481
Phone: 514 396-8650
Fax: 514 396-8595
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 and Expertise:
- Pattern Recognition
- Adaptive and Intelligent Systems
- Information Fusion
- Multiple Classifier Systems
- Contextual Recognition
- Online and Incremental Learning
- Computer Vision
- Evolutionary Computation
+ Application Areas:
- Face Analysis and Recognition
- Activity and Event Recognition
- Biometrics
- Monitoring and Video Surveillance
GPA759: Neural Networks and Artificial Intelligence
GPA770: Applied Microelectrics
SYS828 : Biometric Systems
MTR801: Planning a
SYS 843 Engineering Research Project : Neural Networks and Fuzzy Systems
+ Original articles in refereed journals and books chapters
«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” |
«GEN: Generative Equivariant Networks for diverse image-to-image translation»Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Salvador Garcia, Eric Granger, Jianyi Yang” |
«Cross-modal distillation for RGB-depth person re-identification»Frank M.Hafner, Amran Bhuyian, Julian F. P. Kooij, Eric Granger” |
Read More >
+ Papers in refereed conference proceedings
«F-CAM: Full resolution class activation maps via guided parametric upscaling»Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger” |
«Temporal stochastic softmax for 3D CNNs : An application in facial expression recognition»Theo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger” |
«Unsupervised multi-target domain adaptation through knowledge distillation»L. T. Nguyen-Meidine, A. Belal, M. Kiran, J. Dolz, L. A. Blais-Morin, E. Granger” |
«Cross attentional audio-visual fusion for dimensional emotion recognition»R. Gnana Praveen, Eric Granger, Patrick Cardinal” |
«Deep active learning for joint classification segmentation with weak annotator»Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger” |
+ 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 |
Read More >
+ Research Interests and Expertise:
- Pattern Recognition
- Adaptive and Intelligent Systems
- Information Fusion
- Multiple Classifier Systems
- Contextual Recognition
- Online and Incremental Learning
- Computer Vision
- Evolutionary Computation
+ Professor
- Prof. Eric Granger
+ Post-Doctorate
- Dr. Farshad Nourbakhsh
- Dr. Reza Shoja Ghiass
Current students
+ Ph.D. students
- Saman Bashbaghi
- Marc-André Carbonneau
- Roghayeh Soleymani
- Faniya Mokhayeri
+ Master’s degree students
- Salois, Patrick
Previous students
+ Post-Doctorate
- Dewan, Mohamed Ali
- Rattani, Ajita
- Radtke, Paulo Vinicius
- Ksantini, Riadh
+ Ph.D. students
- Pagano, Christophe
- de la Torre Gómora, Miguel Ángel
- Guerdy, Bassem
- Eskander, George
- Vellasques, Eduardo
- Connolly, Jean-François
- Batista, Luana Bezerra
- Khreich, Wael
+ Master’s degree students
- Amara, Ibtihel
- Tliba, Safa
- Prieur, Donavan
- Pagano, Christophe
+ Bachelore’s degree students
- Tijami, Adil
- Naud, Richard
+ Experience
06/2014 – Present
Directore of LIVIA
-Génie de la production automatisée
-École de technologie supérieure
06/2007 – 06/2014
Assistant professor
-Génie de la production automatisée
-École de technologie supérieure
06/2010 – 06/2011
Research Scientist
-Science and Engineering Directorate
-Canadian Border Services Agency
01/2004 – 06/2007
Assistant Professor
-École de technologie supérieure, CANADA
-Génie de la production automatisée
02/2001 – 10/200
ASIC Engineer / Scientist -Mitel Networks, CANADA
01/1999 – 02/2001
Defence Scientists -Defence Research and Development Canada (DRDC) Ottawa, CANADA -Electronic Warfare (Electronic Support Measure)
01/1998 – 05/1998
Visiting Scholar -Boston University, UNITED STATES -Cognitive and Neural Systems
05/1994 – 09/1994
Research Assistant -Université du Québec à Montréal, CANADA -Informatique
+ University training in research
-Doctorate (PhD), Ph.D., Génie électrique, École Polytechnique de Montréal, CANADA2002
-Bachelor’s, B.Sc.A., Microélectronique. Université du Québec à Montréal, CANADA1995
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