L'ÉTS vous donne rendez-vous à sa journée portes ouvertes qui aura lieu sur son campus à l'automne et à l'hiver : Samedi 18 novembre 2023 Samedi 17 février 2024 Le dépôt de votre demande d'admission à un programme de baccalauréat ou au cheminement universitaire en technologie sera gratuit si vous étudiez ou détenez un diplôme collégial d'un établissement québécois.
En codirection avec : Ali Miri Towards Adaptive Anomaly Detection Systems using Boolean Combination of Hidden Markov Models, par Wael Khreich Été 2011
En codirection avec : Giorgio Fumera Face Re-identification in Imbalanced Video Surveillance Environnements, par Roghaiyeh Soleimani Samarin Automne 2019
En codirection avec : Marco Pedersoli Learning to Localize Objects with Limited Supervision, par Akhil Pilakkatt Meethal Automne 2023
En codirection avec : Rafael Menelau Oliveira Cruz Metric Learning with Siamese Networks for Person Re-Identification and Object Tracking, par Madhu Kiran Madhu Kiran Été 2024
En codirection avec : Robert Sabourin Multi-classifier Systems for Off-line Signature Verification, par Luana Bezerra Batista Hiver 2011
En codirection avec : Robert Sabourin Adapting Heterogeneous Ensembles with Particle Swarm Optimization for Video Face Recognition, par Jean-François Connolly Été 2012
En codirection avec : Robert Sabourin Intelligent Watermarking of Long Streams of Document Images, par Eduardo Vellasques Automne 2012
En codirection avec : Alessandro Lameiras Koerich Learning Models for Multimodal Expression Recognition from Videos Captured In-The-Wild, par Muhammad Haseeb Aslam Hiver 2025
En codirection avec : Robert Sabourin A Dissimilarity Representation Approach to Designing Systems for Signature Verification and Bio-Cryptography, par George Ekladious Automne 2013
En codirection avec : Robert Sabourin Rapid Intelligent Watermarking System for High-Resolution Grayscale Facial Images, par Bassem Guendy Automne 2013
En codirection avec : Robert Sabourin Adaptive Multi-Classifier Systems for Face Re-Identification Applications, par Miguel Angel De la Torre Gomora Automne 2014
En codirection avec : Robert Sabourin Adaptive Classifier Ensembles for Face Recognition in Video-Surveillance, par Christophe Pagano Été 2015
En codirection avec : Ghyslain Gagnon Multiple Instance Learning Under Real-World Conditions, par Marc-André Carbonneau Automne 2017
En codirection avec : Guillaume-Alexandre Bilodeau Face Recognition in Video Surveillance from a Single Reference Sample Through Domain Adaptation, par Saman Bashbaghi Été 2017
Domain-Specific Face Synthesis for Still-to-Video Face Recognition, par Faniya Mokhayyeri Automne 2019
En codirection avec : Ismail Ben Ayed Flexible and Scalable Models For Clustering and Few-Shot Learning, par Imtiaz Masud Ziko Été 2020
En codirection avec : Marco Pedersoli Personalized Automated Expression Recognition and Ambivalence Using Domain Adaptation, par Muhammad Osama Zeeshan Hiver 2025
En codirection avec : Ismail Ben Ayed Constrained Deep Networks for Medical Image Segmentation, par Hoel Kervadec Hiver 2021
En codirection avec : Marco Pedersoli Using Privileged Information for Low-Resolution Object Detection on the Edge, par Heitor Rapela Medeiros Hiver 2025
En codirection avec : Mohammadhadi Shateri Knowledge Distillation and Multi-Modal Learning for Cancer Detection, par Banafsheh Karimian Hiver 2025
En codirection avec : Mohammadhadi Shateri Few-Shot Generative Adaptation of Diffusion Models, par Yara Mohammadi Bahram Hiver 2025
En codirection avec : Marco Pedersoli Reconnaissance d'actions à partir de vidéos infrarouges, par Kevin Nguetche Hiver 2025
En codirection avec : Marco Pedersoli Deep Weakly-Supervised Leaning Networks for Object Localization and Interpretation, par Shakeeb Murtaza Hiver 2025
En codirection avec : Yves Blaquière Infrastructure for Automatic Optimization of Applications on Heterogeneous FPGA-Based Computing Platforms, par Pouya Taghipour Hiver 2025
En codirection avec : Ismail Ben Ayed Optimization Problems for Deep Neural Networks, par Jérôme Rony Été 2023
En codirection avec : Patrick Cardinal Deep Regression Models for Spatio-temporal Expression Recognition in Videos, par Gnanapraveen Rajasekhar Été 2023
Domain Adaptation and Compression of Deep Neural Networks for Video Surveillance, par Le Thanh Nguyen-Meidine Automne 2021
En codirection avec : Marco Pedersoli Source-Free Adaptation of Deep Learning Models for Expression Recognition in eHealth Applications, par Masoumeh Sharafi Hiver 2025
En codirection avec : Luke McCaffrey Multi task source free unsupervised domain adaptation for histology images, par Alexis Guichemerre Hiver 2025
En codirection avec : Rafael Menelau Oliveira Cruz Multi Modal Person Re-identification using Context Based Information Fusion, par Mahdi Alehdaghi Hiver 2025
En codirection avec : Mohamad Forouzanfar A machine learning framework for predicting mental-physical states and health conditions from multi-sensor sleep data, par Boshra Khajehpiri Hiver 2025
En codirection avec : Marco Pedersoli Multi-source Domain Generalization, par Masih Aminbeidokhti Hiver 2025
En codirection avec : Abdelmalik Taleb-Ahmed Deep Spatiotemporal Models for Video-based Pain Estimation, par Issam Serraoui Automne 2024
En codirection avec : Robert Sabourin Multi-Feature Approach for Writer-Independent Offline Signature Verification, par Dominique Rivard Automne 2010
Unsupervised Domain Adaptation for Person Re-Identification in Changing Real-World Environments, par Djébril Mekhazni Été 2022
En codirection avec : Claude Thibeault Réalisation de classificateurs neuroniques pour la reconnaissance à basse puissance de visages dans des séquences vidéo, par Donavan Prieur Hiver 2012
En codirection avec : Abdenour Hadid Local Quality-Based Matching of Faces for Watchlist Screening Applications, par Ibtihel Amara Automne 2015
En codirection avec : Patrick Cardinal An Investigation of Ensemble Methods in Emotion Recognition Using LSTM and SVR, par Seyedeh Rafooneh Jafarian Bahri Été 2019
En codirection avec : Matthew Toews Modeling Information Flow Through Deep Convolutional Neural Networks, par Behnaz Nasiri Hiver 2020
En codirection avec : Ismail Ben Ayed Feed-Forward Weakly Supervised Deep Learning Models for Breast Cancer Diagnosis from Histological Images, par Jérôme Rony Été 2019
Adaptation of Deep Siamese Neural Networks for Video Face Recognition, par Hugo Lemoine St-André Automne 2021
En codirection avec : Marco Pedersoli Exploration du niveau de supervision et du contexte temporel pour la détection des personnes en infrarouge, par Thomas Dubail Automne 2023
En codirection avec : Marco Pedersoli Crowd Counting with Different Levels of Supervision in Infrared Images, par Moetez Kdayem Hiver 2025
Comparaison de modèles semi-supervisés pour la reconnaissance d'images histologiques, par Lucas Shorten Été 2019
En codirection avec : Rafael Menelau Oliveira Cruz Deep Visual-Infrared Fusion for Multimodal Person Re-Identification in the Wild, par Arthur Josi Été 2023
En codirection avec : Simon Bacon Spatio-Temporal Facial Expression Recognition with 3D Convolutional Neural Networks, par Théo Ayral Été 2021
En codirection avec : Alessandro Lameiras Koerich Reconnaissance multi-dimensionnelle de l’émotion par apprentissage profond de caractéristiques spatio-temporelles sur séquences vidéo, par Thomas Teixeira Automne 2020
En codirection avec : Mohammadhadi Shateri Enhancing Indoor Localization Accuracy in Asset Tracking through Deep Learning, par Negar Mehregan Hiver 2025
En codirection avec : Marco Pedersoli Source-Free Domain Adaptation for YOLO Object Detection, par Simon Varailhon Été 2024
Reconnaissance d'expressions avec le visage et la voix, par Paul Waligora Hiver 2025
En codirection avec : Rafael Menelau Oliveira Cruz Multi-Target Domain Adaptation for Person Re-Identification, par Félix Remigereau Été 2023
En codirection avec : Robert Sabourin PSO pour l'apprentissage supervisé des réseaux neuronaux de type fuzzy ARTMAP, par Philippe Henniges Été 2006
Fast incremental learning of stochastic context-free grammars in radar electronic support, par Guillaume Latombe Automne 2006
Conception de système de reconnaissance spatio-temporelle de visages sur vidéo à partir d'une seule image de référence, par Francis Charette Migneault Automne 2017
Détection-tracking-reconnaissance de visages avec des CNN+RNN, par Hugo Masson Été 2019
En codirection avec : Marco Pedersoli Optimisation d’un modèle de détection déployé sur un système embarqué, par Clément Floer Été 2024
En codirection avec : Marco Pedersoli Réseaux profonds pour le démêlement des caractéristiques faciales en estimation de la douleur, par Emma Ollivier Été 2024
L'adaptation de réseaux profonds pour la détection d'objets en video surveillance, par David Chakroun Hiver 2021
La détection de nouveauté réseaux de neurones artificiels de type ARTMAP, par Yuriy Klyuchnikov Hiver 2007
Comparaison des réseaux de neurones probabilistes de la famille ARTMAP et discrimination de familiarité, par Germain Lefrançois Automne 2007
En codirection avec : Abdelmalik Taleb-Ahmed Contribution au développement du monitoring de l'environnement d'un train autonome, par Ankur Victor Mahtani Hiver 2020
En codirection avec : Robert Sabourin Une approche évolutive pour l'extraction de caractéristiques graphométriques : application à la vérification des signatures manuscrites, par Melissa Barbara Ayala Luis Été 2010
En codirection avec : Marco Pedersoli Sélection optimale de transformations pour l'augmentation de données, par Antoine Harlé Été 2020
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg. 2024 « SeTformer is what you need for vision and language ». Proceedings of the AAAI Conference on Artificial Intelligence vol. 38 , nº 5. p. 4713-4721
Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger. 2021 « Exploiting prunability for person re-identification ». EURASIP Journal on Image and Video Processing vol. 2021 , nº 1
C. Pagano, E. Granger, R. Sabourin, P. Tuveri, G. L. Marcialis, F. Roli. 2015 « Context-sensitive self-updating for adaptive face recognition ». In Adaptive Biometric Systems: Recent Advances and Challenges. p. 9-34. Springer International Publishing
Eduardo Vellasques, Éric Granger, Robert Sabourin. 2010 « Intelligent watermarking systems : a survey ». In Handbook of Pattern Recognition and Computer Vision. p. 687-724. World Scientific Publishing
Luana Batista, Dominique Rivard, Robert Sabourin, Éric Granger, Patrick Maupin. 2008 « State of the art in off-line signature verification ». In Pattern recognition technologies and applications : recent advances . p. 39-62. Information Science Reference
P. Maupin, Éric Granger, Tony Wong, Robert Sabourin. 2004 « A review of situation recognition models and systems ». Communication lors de la conférence : The 24th Army Science Conference (ASC 2004) (Orlando, FL, USA, Nov. 29-Dec. 2, 2004)
Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel Alejandro Guerrero Peña, David Latortue, Eric Granger, Marco Pedersoli. 2025 « Modality translation for object detection adaptation without forgetting prior knowledge ». Computer Vision – ECCV 2024 : 18th European Conference 2024, Proceedings, Part LXXXIX (Milan, Italy, Sept. 29-Oct. 04, 2024) Springer
Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger. 2024 « Distilling privileged multimodal information for expression recognition using optimal transport ». IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) (Istanbul, Turkey, May 27-31, 2024) Institute of Electrical and Electonics Engineers
David Latortue, Moetez Kdayem, Fidel A. Guerrero Pena, Eric Granger, Marco Pedersoli. 2024 « Evaluating supervision levels trade-offs for infrared-based people counting ». IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) (Waikoloa, HI, USA, Jan. 01-06, 2024) Institute of Electrical and Electronics Engineers Inc.
Paul Waligora, Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger. 2024 « Joint multimodal transformer for emotion recognition in the wild ». IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (Seattle, WA, USA, June 17-18, 2024) IEEE Computer Society
Muhammad Osama Zeeshan, Muhammad Haseeb Aslam, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric G. Granger. 2024 « Subject-based domain adaptation for facial expression recognition ». IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) (Istanbul, Turkey, May 27-31, 2024) Institute of Electrical and Electronics Engineers Inc.
Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Eric Granger. 2023 « Privileged knowledge distillation for dimensional emotion recognition in the wild ». IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vancouver, BC, Canada, June 17-24, 2023) IEEE Computer Society
Thomas Dubail, Fidel Alejandro Guerrero Peña, Heitor Rapela Medeiros, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli. 2023 « Privacy-preserving person detection using low-resolution infrared cameras ». Computer Vision – ECCV 2022 Workshops (Tel Aviv, Israel, Oct. 23-27, 2022) Springer Science and Business Media
Fidel A. Guerrero Peña, Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric G. Granger, Marco Pedersoli. 2023 « Re-basin via implicit Sinkhorn differentiation ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023) IEEE Computer Society
Arthur Josi, Mahdi Alehdaghi, Rafel M. O. Cruz, Eric Granger. 2023 « Multimodal data augmentation for visual-infrared person ReID with corrupted data ». IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW (Waikoloa, HI, USA, Jan. 03-07, 2023) Institute of Electrical and Electronics Engineers Inc.
Akhil Meethal, Eric Granger, Marco Pedersoli. 2023 « Cascaded zoom-in detector for high resolution aerial images ». IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vancouver, BC, Canada, June 17-24, 2023) IEEE Computer Society
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger. 2023 « Image completion via dual-path cooperative filtering ». IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Rhodes Island, Greece, June 04-10, 2023) IEEE
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger. 2023 « Transinpaint: Transformer-based image inpainting with context adaptation ». IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) (Paris, France, Oct. 02-06, 2023) Institute of Electrical and Electronics Engineers
Yifan Xu, Pourya Shamsolmoali, Eric Granger, Claire Nicodeme, Laurent Gardes, Jie Yang. 2023 « TransVLAD: Multi-scale attention-based global descriptors for visual geo-localization ». IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023) Institute of Electrical and Electronics Engineers Inc.
Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger. 2022 « F-CAM: Full resolution class activation maps via guided parametric upscaling ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2022) Institute of Electrical and Electronics Engineers Inc.
Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E. Cruz, Louis-Antoine Blais-Morin, Eric Granger. 2022 « Generative target update for adaptive siamese tracking ». Pattern Recognition and Artificial Intelligence : Third International Conference, ICPRAI 2022 : Proceedings, Par I (Paris, France, June 01-03, 2022) Springer Science and Business Media Deutschland GmbH
Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger. 2022 « Semi-weakly supervised object detection by sampling pseudo ground-truth boxes ». International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022) Institute of Electrical and Electronics Engineers Inc.
R. G. Praveen, W. C. de Melo, N. Ullah, H. Aslam, O. Zeeshan, T. Denorme, M. Pedersoli, A. L. Koerich, S. Bacon, P. Cardinal, E. Granger. 2022 « A joint cross-attention model for audio-visual fusion in dimensional emotion recognition ». IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (New Orleans, LA, USA, June 19-20, 2022) IEEE
Pourya Shamsolmoali, Masoumeh Zareapoor, Jie Yang, Eric Granger, Huiyu Zhou. 2022 « Salient skin lesion segmentation via dilated scale-wise feature fusion network ». 26th International Conference on Pattern Recognition (ICPR) (Montreal, QC, Canada, Aug. 21-25, 2022) Institute of Electrical and Electronics Engineers Inc.
Jesús Fonseca, Miguel De-la-Torre, Salvador Cervantes, Eric Granger, Jezreel Mejia. 2021 « COMET-OCEP: A software process for research and development ». New Perspectives in Software Engineering : Proceedings of the 9th International Conference on Software Process Improvement (CIMPS 2020) (Mazatlán, Mexico, Oct. 21-23, 2020) Springer
Madhu Kiran, Gnana R. Praveen, Le Thanh Nguyen-Meidine, Soufiane Belharbi, Louis-Antoine Blais Morin, Eric Granger. 2021 « Holistic guidance for occluded person re-identification ». The 32nd British Machine Vision Conference (En ligne, Nov. 22-25, 2021) BMVC
R. Gnana Praveen, Eric Granger, Patrick Cardinal. 2021 « Cross attentional audio-visual fusion for dimensional emotion recognition ». 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) (Jodhpur, India, Dec. 15-18, 2021) Institute of Electrical and Electronics Engineers Inc.
Jerome Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed. 2021 « Augmented Lagrangian Adversarial Attacks ». 18th IEEE/CVF International Conference on Computer Vision (ICCV) (Montreal, QC, Canada - en ligne, Oct. 10-17, 2021) Institute of Electrical and Electronics Engineers Inc.
Amran Bhuiyan, Yang Liu, Parthipan Siva, Mehrsan Javan, Ismail Ben Ayed, Éric Granger. 2020 « Pose guided gated fusion for person re-identification ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Snowmass Village, CO, USA, Mar. 01-05, 2020) Institute of Electrical and Electronics Engineers Inc.
Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed. 2020 « A unifying mutual information view of metric learning: Cross-entropy vs. Pairwise losses ». Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VI (Glasgow, United Kingdom, Aug. 23-28, 2020) Springer
Fania Mokhayeri, Kaveh Kamali, Éric Granger. 2020 « Cross-Domain face synthesis using a controllable GAN ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Snowmass Village, CO, USA, Mar. 01-05, 2020) Institute of Electrical and Electronics Engineers Inc.
Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Marco Pedersoli, Louis-Antoine Blais-Morin. 2020 « Progressive gradient pruning for classification, detection and domain adaptation ». 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy - en ligne, Jan. 10-15, 2021) Institute of Electrical and Electronics Engineers Inc.
Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed. 2020 « Laplacian regularized few-shot learning ». 37th International Conference on Machine Learning (ICML) (En ligne, July 12-18, 2020)
Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger. 2019 « Emotion recognition with spatial attention and temporal softmax pooling ». Image Analysis and Recognition : 16th International Conference, ICIAR : Proceedings (Waterloo, ON, Canada, Aug. 27-29, 2019) Springer International Publishing
Francis Charette Migneault, Eric Granger, Fania Mokhayeri. 2019 « Using adaptive trackers for video face recognition from a single sample per person ». 8th International Conference on Image Processing Theory, Tools and Applications (IPTA 2018) - Proceedings (Xi'an, China, Nov. 7-10, 2018) Institute of Electrical and Electronics Engineers Inc.
Wheidima Carneiro De Melo, Eric Granger, Abdenour Hadid. 2019 « Depression detection based on deep distribution learning ». 26th IEEE International Conference on Image Processing (ICIP) (Taipei, Taiwan, Sept. 22-25, 2019) IEEE Computer Society
Frank M. Hafner, Amran Bhuiyan, Julian F. P. Kooij, Eric Granger. 2019 « RGB-depth cross-modal person re-identification ». 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (Taipei, Taiwan, Sept. 18-21, 2019) IEEE
Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed. 2019 « Boundary loss for highly unbalanced segmentation ». 2nd International Conference on Medical Imaging with Deep Learning (MIDL) (London, England, July 08-10, 2019) PMLR
Hoel Kervadec, Jose Dolz, Éric Granger, Ismail Ben Ayed. 2019 « Curriculum semi-supervised segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct 13-17, 2019) Springer
Wu Xiaoting, Éric Granger, Tomi H. Kinnunen, Feng Xiaoyi, Abdenour Hadid. 2019 « Audio-visual kinship verification in the wild ». International Conference on Biometrics (ICB) (Crete, Greece, June 04-07, 2019) IEEE
Hoel Kervadec, Jose Dolz, Meng Tang, Éric Granger, Yuri Boykov, Ismail Ben Ayed. 2018 « Constrained-CNN losses for weakly supervised segmentation ». 1st Conference on Medical Imaging with Deep Learning (MIDL 2018) (Amsterdam, Netherlands, July 4-6, 2018)
Roghayeh Soleymani, Eric Granger, Giorgio Fumera. 2018 « F-Measure curves for visualizing classifier performance with imbalanced data ». Artificial Neural Networks in Pattern Recognition : 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings (Siena, Italy, Sept. 19-21, 2018) Springer
Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed. 2018 « Scalable Laplacian K-modes ». Advances in Neural Information Processing Systems 31 (NeurIPS 2018) (Montreal, QC, Canada, Dec. 02-08, 2018) Neural Information Processing Systems (NIPS)
Xihan Wang, Xiaoyi Feng, Zhaoqiang Xia, Jinye Peng, E. Granger. 2017 « Multi-orientation scene text detection leveraging background suppression ». 9th International Conference on Image and Graphics, ICIG 2017; Shanghai; China; 13 September 2017 through 15 September 2017 (Shanghai, China, Sept. 13-15, 2017) Springer
Samaneh Khoshrou, Jaime S. Cardoso, Eric Granger, Luis F. Teixeira. 2015 « Spatio-temporal fusion for learning of regions of interests over multiple video streams ». Advances in Visual Computing : 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part II (Las Vegas, NV, USA, Dec. 14-16, 2015) Springer Verlag
George S. Eskander, Robert Sabourin, Éric Granger. 2014 « Offline signature-based fuzzy vault: A review and new results ». 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Orlando, FL, USA, Dec. 9-12, 2014) IEEE Computer Society
C. Pagano, É. Granger, R. Sabourin, A. Rattani, G. L. Marcialis, F. Roli. 2014 « Efficient adaptive face recognition systems based on capture conditions ». 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM). Proceedings (Orlando, FL, U.S.A, Dec. 9-12, 2014) IEEE
Christophe Pagano, Éric Granger, Robert Sabourin, Gian Luca Marcialis, Fabio Roli. 2014 « Dynamic weighted fusion of adaptive classifier ensembles based on changing data streams ». Artificial Neural Networks in Pattern Recognition. 6th IAPR TC 3 International Workshop, ANNPR 2014. Proceedings (Montreal, QC, Canada, Oct. 6-8, 2014) Springer International Publishing
M. Ali Akber Dewan, Éric Granger, F. Roli, Robert Sabourin, G. L. Marcialis. 2013 « Comparison of adaptive appearance methods for tracking faces in video surveillance ». 5th International Conference on Imaging for Crime Detection and Prevention, ICDP 2013 (London, UK, Dec. 16-17, 2013) Institution of Engineering and Technology
George S. Eskander, Robert Sabourin, Eric Granger. 2013 « Towards automated transactions based on the offline handwritten signatures ». Machine Learning and Data Mining in Pattern Recognition : 1st WIPRA Workshop on Intelligent Pattern Recognition and Analysis : Poster and WIPRA Workshop Proceedings (New York, NY, USA, July 19-25, 2013) Ibai Publishing
Bassem S. Rabil, Robert Sabourin, Eric Granger. 2013 « Securing mass biometric templates using blockwise multi-resolution clustering watermarking ». Machine Learning and Data Mining in Pattern Recognition : 1st WIPRA Workshop on Intelligent Pattern Recognition and Analysis : Poster and WIPRA Workshop Proceedings (New York, NY, USA, July 19-25, 2013) Ibai Publishing
Jean-François Connolly, Éric Granger, Robert Sabourin. 2012 « On the correlation between genotype and classifier diversity ». 21st International Conference on Pattern Recognition (ICPR) (Tsukuba, Japan, Nov. 11-15, 2012) Institute of Electrical and Electronics Engineers Inc.
Gian Luca Marcialis, Luca Didaci, Alessandro Pisano, Éric Granger, Fabio Roli. 2012 « Why template self-update should work in biometric authentication systems? ». 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA) (Montreal, QC, Canada, July 2-5, 2012) IEEE Computer Society
Christophe Pagano, Éric Granger, Robert Sabourin, Dmitry O. Gorodnichy. 2012 « Detector ensembles for face recognition in video surveillance ». The 2012 International Joint Conference on Neural Networks (IJCNN) (Brisbane, Australia, June 10-15, 2012) Institute of Electrical and Electronics Engineers Inc.
Paulo V. W. Radtke, Éric Granger, Robert Sabourin, Dmitry Gorodnichy. 2012 « Adaptive selection of ensembles for imbalanced class distributions ». 21st International Conference on Pattern Recognition (ICPR) (Tsukuba, Japan, Nov. 11-15, 2012) Institute of Electrical and Electronics Engineers Inc.
George S. Eskander, Robert Sabourin, Éric Granger. 2011 « Signature based Fuzzy Vaults with boosted feature selection ». IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Paris, France, Apr. 11-15, 2011) Institute of Electrical and Electronics Engineers
Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin. 2011 « Incremental boolean combination of classifiers ». 10th International Workshop on Multiple Classifier Systems (MCS) (Naples, Italy, June 15-17, 2011) Springer Verlag
Luana Batista, Éric Granger, Robert Sabourin. 2010 « Applying dissimilarity representation to off-line signature verification ». 20th International Conference on Pattern Recognition (ICPR) (Istanbul, Turkey, Aug. 23-26, 2010) Institute of Electrical and Electronics Engineers Computer Society
Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin. 2010 « Boolean combination of classifiers in the ROC space ». 20th International Conference on Pattern Recognition (ICPR) (Istanbul, Turkey, Aug. 23-26, 2010) Institute of Electrical and Electronics Engineers Computer Society
Bassem S. Rabil, Robert Sabourin, Éric Granger. 2010 « Intelligent watermarking with multi-objective population based incremental learning ». 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) (Darmstadt, Germany, Oct. 15-17, 2010) Institute of Electrical and Electronics Engineers Computer Society
Eduardo Vellasques, Robert Sabourin, Éric Granger. 2010 « Intelligent watermarking of document images as a dynamic optimization problem ». 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) (Darmstadt, Germany, Oct. 15-17, 2010) Institute of Electrical and Electronics Engineers Computer Society
Luana Batista, Éric Granger, Robert Sabourin. 2009 « A multi-hypothesis approach for off-line signature verification with HMMs ». 10th International Conference on Document Analysis and Recognition (ICDAR) (Barcelona, Spain, July 26-29, 2009) Institute of Electrical and Electronics Engineers Computer Society
Wael Khreich, Éric Granger, Robert Sabourin, Ali Miri. 2009 « Combining hidden Markov models for improved anomaly detection ». IEEE International Conference on Communications (ICC) (Dresden, Germany, June 14-18, 2009) Institute of Electrical and Electronics Engineers
Eric Granger, Germain Lefrançois. 2008 « Novelty detection with probabilistic ARTMAP neural networks ». Smart Systems Engineering—Computational Intelligence in Architecting Engineering Systems (St-Louis, MO, USA, Nov. 9-12, 2008) The American Society of Mechanical Engineers
Éric Granger, P. Henniges, L.S. Oliveira, Robert Sabourin. 2006 « Particle swarm optimization of fuzzy ARTMAP parameters ». International Joint Conference on Neural Networks (IJCNN) (Vancouver, Canada, Jul. 16-21, 2006) Institute of Electrical and Electronics Engineers
Philippe Henniges, Éric Granger, Robert Sabourin, Luiz S. Oliveira. 2006 « Impact of fuzzy ARTMAP match tracking strategies on the recognition of handwritten digits ». Smart systems engineering : infra-structure systems engineering, bio-informatics and computational biology and evolutionary computation : proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2006) (Saint-Louis, MO, USA, Nov. 5-8, 2006) ASME
Guillaume Latombe, Éric Granger, Fred A. Dilkes. 2006 « Maximum likelihood and the graphical em algorithm ». Canadian Conference on Electrical and Computer Engineering (CCECE) (Ottawa, ON, Canada, May 7-10, 2006) Institute of Electrical and Electronics Engineers
Philippe Henniges, Éric Granger, Robert Sabourin. 2005 « Factors of overtraining with fuzzy ARTMAP neural networks ». IEEE International Joint Conference on Neural Networks (IJCNN) (Montreal, Canada, Jul. 31-Aug. 4, 2005) Institute of Electrical and Electronics Engineers
Eric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie. 2001 « Radar ESM with a what-and-where fusion neural network ». Neural Networks for Signal Processing XI : Proceedings of the 2001 IEEE Signal Processing Society Workshop (North Falmouth, MA, USA, Sept. 10-12, 2001) IEEE
E. Granger, M. A. Rubin, S. Grossberg, P. Lavoie. 2000 « Classification of incomplete data using the fuzzy ARTMAP neural network ». Neural computing: new challenges and perspectives for the new millennium : proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Como, Italy, 24 - 27 July 2000 IEEE Computer Society
Eric Granger, Stephen Grossberg, Pierre Lavoie, Mark A. Rubin. 1999 « A comparison of classifiers for radar emitter type identification ». Smart engineering system design: neural networks, fuzzy logic, evolutionary programming, data mining and complex systems : proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE '99) (St-Louis, MO, USA, Nov. 7-10, 1999) ASME Press
Eric Granger, Stephen Grossberg, Mark A. Rubin, William W. Streilein. 1999 « Familiarity discrimination of radar pulses ». Advances in neural information processing systems 11 : proceedings of the 1998 conference (Denver, CO, USA, Nov. 30-Dec. 5, 1998) MIT Press
E. Granger, Y. Blaquière, Y. Savaria, M.-A. Cantin, P. Lavoie. 1996 « A VLSI architecture for fast clustering with the fuzzy ART neural networks ». Proceedings of the International Workshop on Neural Networks for Identification, Control, Robotics and Signal/Image Processing (NICROSP'96) (Venice, Italy, Aug. 21-23, 1996) IEEE