Éric Granger

• En codirection avec : Sabourin, Robert
  PSO pour l'apprentissage supervisé des réseaux neuronaux de type fuzzy ARTMAP, par Henniges,Philippe.
  Été 2006
  
• Fast incremental learning of stochastic context-free grammars in radar electronic support, par Latombe,Guillaume.
  Automne 2006
  

• En codirection avec : Granger, Éric
  Multi-Feature Approach for Writer-Independent Offline Signature Verification, par Rivard,Dominique.
  Automne 2010
  
• Unsupervised Domain Adaptation for Person Re-Identification in Changing Real-World Environments, par Mekhazni,Djébril.
  Été 2022
  
• En codirection avec : Thibeault, Claude
  Réalisation de classificateurs neuroniques pour la reconnaissance à basse puissance de visages dans des séquences vidéo, par Prieur,Donavan.
  Hiver 2012
  
• En codirection avec : Hadid, Abdenour
  Local Quality-Based Matching of Faces for Watchlist Screening Applications, par Amara,Ibtihel.
  Automne 2015
  
• En codirection avec : Granger, Éric
  An Investigation of Ensemble Methods in Emotion Recognition Using LSTM and SVR, par Jafarian Bahri,Seyedeh Rafooneh.
  Été 2019
  
• En codirection avec : Granger, Éric
  Modeling Information Flow Through Deep Convolutional Neural Networks, par Nasiri,Behnaz.
  Hiver 2020
  
• En codirection avec : Ben Ayed, Ismail
  Feed-Forward Weakly Supervised Deep Learning Models for Breast Cancer Diagnosis from Histological Images, par Rony,Jérôme.
  Été 2019
  
• Adaptation of Deep Siamese Neural Networks for Video Face Recognition, par Lemoine St-André,Hugo.
  Automne 2021
  
• En codirection avec : Pedersoli, Marco
  Modèles profonds pour la détection et localisation d'anomalies dans des images IR, par Dubail,Thomas.
  Été 2023
  
• En codirection avec : Pedersoli, Marco
  Deep Domain Generalization for Person Recognition in the Wild, par Belal,Atif.
  Été 2023
  
• Comparaison de modèles semi-supervisés pour la reconnaissance d'images histologiques, par Shorten,Lucas.
  Été 2019
  
• En codirection avec : Menelau Oliveira Cruz, Rafael
  Ré-identification de personnes par fusion de données de provenances multiples, par Josi,Arthur.
  Hiver 2023
  
• En codirection avec : Bacon, Simon
  Spatio-Temporal Facial Expression Recognition with 3D Convolutional Neural Networks, par Ayral,Théo.
  Été 2021
  
• En codirection avec : Granger, Éric
  Reconnaissance multi-dimensionnelle de l’émotion par apprentissage profond de caractéristiques spatio-temporelles sur séquences vidéo, par Teixeira,Thomas.
  Automne 2020
  
• En codirection avec : Pedersoli, Marco
  Deep domain adaptation models for object detection in low-resolution RGB and IR images, par Varailhon,Simon.
  Été 2023
  
• Reconnaissance d'expressions avec le visage et la voix, par Waligora,Paul.
  Hiver 2023
  
• En codirection avec : Menelau Oliveira Cruz, Rafael
  Gated Information Fusion Networks for Person Re-Identification, par Remigereau,Félix.
  Hiver 2023
  

• La détection de nouveauté réseaux de neurones artificiels de type ARTMAP, par Klyuchnikov,Yuriy.
  Hiver 2007
  
• Comparaison des réseaux de neurones probabilistes de la famille ARTMAP et discrimination de familiarité, par Lefrançois,Germain.
  Automne 2007
  

• En codirection avec : Miri, Ali
  Towards Adaptive Anomaly Detection Systems using Boolean Combination of Hidden Markov Models, par Khreich,Wael.
  Été 2011
  
• En codirection avec : Fumera, Giorgio
  Face Re-identification in Imbalanced Video Surveillance Environnements, par Soleimani Samarin,Roghaiyeh.
  Automne 2019
  
• En codirection avec : Granger, Éric
  Object Detection with Weakly-supervised Deep Architectures, par Pilakkatt Meethal,Akhil.
  Été 2023
  
• En codirection avec : Granger, Éric
  Multi-classifier Systems for Off-line Signature Verification, par Batista,Luana Bezerra.
  Hiver 2011
  
• En codirection avec : Sabourin, Robert
  Adapting Heterogeneous Ensembles with Particle Swarm Optimization for Video Face Recognition, par Connolly,Jean-François.
  Été 2012
  
• En codirection avec : Granger, Éric
  Intelligent Watermarking of Long Streams of Document Images, par Vellasques,Eduardo.
  Automne 2012
  
• En codirection avec : Lameiras Koerich, Alessandro
  Learning Models for Multimodal Expression Recognition from Videos Captured In-The-Wild, par Aslam,Muhammad Haseeb.
  Été 2023
  
• En codirection avec : Granger, Éric
  A Dissimilarity Representation Approach to Designing Systems for Signature Verification and Bio-Cryptography, par Ekladious,George.
  Automne 2013
  
• En codirection avec : Granger, Éric
  Rapid Intelligent Watermarking System for High-Resolution Grayscale Facial Images, par Guendy,Bassem.
  Automne 2013
  
• En codirection avec : Sabourin, Robert
  Adaptive Multi-Classifier Systems for Face Re-Identification Applications, par De la Torre Gomora,Miguel Angel.
  Automne 2014
  
• En codirection avec : Sabourin, Robert
  Adaptive Classifier Ensembles for Face Recognition in Video-Surveillance, par Pagano,Christophe.
  Été 2015
  
• En codirection avec : Granger, Éric
  Multiple Instance Learning Under Real-World Conditions, par Carbonneau,Marc-André.
  Automne 2017
  
• En codirection avec : Bilodeau, Guillaume-Alexandre
  Face Recognition in Video Surveillance from a Single Reference Sample Through Domain Adaptation, par Bashbaghi,Saman.
  Été 2017
  
• Domain-Specific Face Synthesis for Still-to-Video Face Recognition, par Mokhayyeri,Faniya.
  Automne 2019
  
• En codirection avec : Granger, Éric
  Flexible and Scalable Models For Clustering and Few-Shot Learning, par Ziko,Imtiaz Masud.
  Été 2020
  
• En codirection avec : Pedersoli, Marco
  Personalized Automated Expression Recognition and Ambivalence Using Domain Adaptation, par Zeeshan,Muhammad Osama.
  Été 2023
  
• En codirection avec : Granger, Éric
  Constrained Deep Networks for Medical Image Segmentation, par Kervadec,Hoel.
  Hiver 2021
  
• En codirection avec : Granger, Éric
  Using Privileged Information for Low-Resolution Object Detection on the Edge, par Rapela Medeiros,Heitor.
  Été 2023
  
• En codirection avec : Pedersoli, Marco
  Deep Weakly-Supervised Leaning Networks for Object Localization and Interpretation, par Murtaza,Shakeeb.
  Été 2023
  
• En codirection avec : Granger, Éric
  Infrastructure for Automatic Optimization of Applications on Heterogeneous FPGA-Based Computing Platforms, par Taghipour,Pouya.
  Été 2023
  
• En codirection avec : Granger, Éric
  Optimization Problems for Deep Neural Networks, par Rony,Jérôme.
  Été 2023
  
• En codirection avec : Cardinal, Patrick
  Deep Regression Models for Spatiotemporal Expression Recognition in Videos, par Rajasekhar,Gnanapraveen.
  Hiver 2023
  
• Domain Adaptation and Compression of Deep Neural Networks for Video Surveillance, par Nguyen-Meidine,Le Thanh.
  Automne 2021
  
• En codirection avec : Menelau Oliveira Cruz, Rafael
  Multi Modal Person Re-identification using Context Based Information Fusion, par Alehdaghi,Mahdi.
  Été 2023
  
• En codirection avec : Granger, Éric
  A machine learning framework for predicting mental-physical states and health conditions from multi-sensor sleep data, par Khajehpiri,Boshra.
  Été 2023
  
• En codirection avec : Granger, Éric
  Multi-source Domain Generalization, par Aminbeidokhti,Masih.
  Été 2023
  

• En codirection avec : Taleb-Ahmed, Abdelmalik
  Contribution au développement du monitoring de l'environnement d'un train autonome, par Mahtani,Ankur Victor.
  Hiver 2020
  
• En codirection avec : Granger, Éric
  Une approche évolutive pour l'extraction de caractéristiques graphométriques : application à la vérification des signatures manuscrites, par Ayala Luis,Melissa Barbara.
  Été 2010
  
• En codirection avec : Granger, Éric
  Sélection optimale de transformations pour l'augmentation de données, par Harlé,Antoine.
  Été 2020
  

• Conception de système de reconnaissance spatio-temporelle de visages sur vidéo à partir d'une seule image de référence, par Charette Migneault,Francis.
  Automne 2017
  
• Détection-tracking-reconnaissance de visages avec des CNN+RNN, par Masson,Hugo.
  Été 2019
  
• L'adaptation de réseaux profonds pour la détection d'objets en video surveillance, par Chakroun,David.
  Hiver 2021
  

Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger. 2023. « Discriminative sampling of proposals in self-supervised transformers for weakly supervised object localization ». IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW (Waikoloa, HI, USA, Jan. 03-07, 2023) p. 155-165. Institute of Electrical and Electronics Engineers Inc..

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) p. 32-41. 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. « Dynamic template selection through change detection for adaptive siamese tracking ». International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022) IEEE.

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) p. 502-513. Springer Science and Business Media Deutschland GmbH.

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) p. 3727-3736. Institute of Electrical and Electronics Engineers Inc..

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) p. 2485-2494. Piscataway, NJ, USA : IEEE.

Pourya Shamsolmoali, Masoumeh Zareapoor, Yang Jie, Eric Granger, Jocelyn Chanussot. 2022. « Enhanced single-shot detector for small object detection in remote sensing images ». IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (Kuala Lumpur, Malaysia, July 17-22, 2022) p. 1716-1719. Piscataway, NJ, USA : 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) p. 4219-4225. Institute of Electrical and Electronics Engineers Inc..

H. Kervadec, J. Dolz, J. Yuan, C. Desrosiers, E. Granger, I. Ben Ayed. 2022. « Constrained deep networks: Lagrangian optimization via Log-barrier extensions ». 30th European Signal Processing Conference (EUSIPCO) (Belgrade, Serbia, Aug. 29-Sept. 02, 2022) p. 962-966. European Signal Processing Conference, EUSIPCO.

Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger. 2021. « Deep active learning for joint classification segmentation with weak annotator ». IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021) p. 3337-3346. Los Alamitos, CA, USA : IEEE Computer Society.

Theo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger. 2021. « Temporal stochastic softmax for 3D CNNs : An application in facial expression recognition ». IEEE Winter Conference on Applications of Computer Vision (WACV) (En ligne, Jan. 05-09, 2021) p. 3028-3037. Institute of Electrical and Electronics Engineers.

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.

L. T. Nguyen-Meidine, A. Belal, M. Kiran, J. Dolz, L. A. Blais-Morin, E. Granger. 2021. « Unsupervised multi-target domain adaptation through knowledge distillation ». IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021) p. 1338-1346. Los Alamitos, CA, USA : IEEE Computer Society.

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) p. 7718-7727. 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) p. 99-112. Springer.

Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed. 2020. « Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision ». Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada (Montreal, QC, Canada, July 06-08, 2020) p. 365-381. PLMR.

Nguyen-Meidine Le Thanh, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin. 2020. « Joint progressive knowledge distillation and unsupervised domain adaptation ». International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020) Piscataway, NJ, USA : IEEE.

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) p. 2664-2673. 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) p. 548-564. Springer.

Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger. 2020. « Convolutional STN for weakly supervised object localization ». 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy - En ligne, Jan. 10-15, 2021) p. 10157-10164. IEEE.

Djebril Mekhazni, Amran Bhuiyan, George Ekladious, Eric Granger. 2020. « Unsupervised domain adaptation in the dissimilarity space for person re-identification ». Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VI (Glasgow, United Kingdom, Aug. 23-28, 2020) p. 159-174. 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) p. 241-249. 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) p. 2795-2802. Institute of Electrical and Electronics Engineers Inc..

Gnana R. Praveen, Eric Granger, Patrick Cardinal. 2020. « Deep weakly supervised domain adaptation for pain localization in videos ». 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG) (Buenos Aires, Argentina, Nov. 16-20, 2020) p. 473-480. IEE Computer Society.

Wheidima Carneiro De Melo, Eric Granger, Miguel Bordallo Lopez. 2020. « Encoding temporal information for automatic depression recognition from facial analysis ». IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Barcelona, Spain, May 04-08, 2020) p. 1080-1084. Institute of Electrical and Electronics Engineers Inc..

George Ekladious, Hugo Lemoine, Eric Granger, Kaveh Kamali, Salim Moudache. 2020. « Dual-triplet metric learning for unsupervised domain adaptation in video face recognition ». International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020) Piscataway, NJ, USA : IEEE.

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) p. 11596-11606.

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) p. 568-576. Springer.

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) p. 323-331. Cham, Switzerland : Springer International Publishing.

Madhu Kiran, Vivek Tiwari, Le Thanh Nguyen-Meidine, Louis-Antoine Blais Morin, Eric Granger. 2019. « On the interaction between deep detectors and siamese trackers in video surveillance ». 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (Taipei, Taiwan, Sept. 18-21, 2019) Piscataway, NJ, USA : IEEE.

Fania Mokhayeri, Eric Granger. 2019. « Robust video face recognition from a single still using a synthetic plus variational model ». 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019) (Lille, France, May 14-18, 2019) Piscataway, NJ, USA : IEEE.

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. « Combining global and local convolutional 3D networks for detecting depression from facial expressions ». 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG): Proceedings (Lille, France, May 14-18, 2019) 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) p. 4544-4548. Taipei, Taiwan : IEEE Computer Society.

Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger. 2019. « Decoupling direction and norm for efficient gradient-based L2 adversarial attacks and defenses ». 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Long Beach, CA, USA, June 15-20, 2019) p. 4317-4325. IEEE.

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) Piscataway, NJ, USA : IEEE.

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) Piscataway, NJ, USA : IEEE.

Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed. 2019. « Boundary loss for highly unbalanced segmentation ». Proceedings of the 2nd International Conference on Medical Imaging with Deep Learning (PMLR) (London, England, July 08-10, 2019) p. 285-296. PMLR.

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)

Ibtihel Amara, Eric Granger, Abdenour Hadid. 2018. « Contextual weighting of patches for local matching in still-to-video face recognition ». 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018) (Xi'an, China, May 15-19, 2018) p. 756-763. Los Alamitos, CA, USA : IEEE Computer Society.

Jérôme Rony, Luiz Gustavo, Robert Sabourin, Eric Granger. 2018. « Decoupling direction and norm for efficient gradient-based l2 adversarial attacks ». NeurIPS 2018 Workshop on Security in Machine Learning (Montreal, QC, Canada, Dec. 7, 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) p. 165-177. Springer.

Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed. 2018. « Scalable Laplacian K-modes ». 32nd Conference on Neural Information Processing Systems (NIPS) (Montreal, QC, Canada, Dec. 02-08, 2018) p. 10041-10051. La Jolla : Neural Information Processing Systems (NIPS).

Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau. 2017. « Dynamic selection of exemplar-SVMs forwatch-list screening through domain adaptation ». 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2017) (Porto, Portugal, Feb. 24-26, 2017) p. 738-745. SciTePress.

Nguyen-Meidine Le Thanh, Eric Granger, Madhu Kiran, Louis-Antoine Blais-Morin. 2017. « A comparison of CNN-based face and head detectors for real-time video surveillance applications ». Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) (Montreal, QC, Canada, Nov. 28 - Dec. 01, 2017) Piscataway, NJ, USA : IEEE.

Farshad Nourbakhsh, Eric Granger, Giorgio Fumera. 2017. « An extended sparse classification framework for domain adaptation in video surveillance ». Computer Vision – ACCV 2016 Workshops : ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III (Taipei, Taiwan, Nov. 20-24, 2016) p. 360-376. Springer Verlag.

Mostafa Parchami, Saman Bashbaghi, Eric Granger. 2017. « CNNs with cross-correlation matching for face recognition in video surveillance using a single training sample per person ». 14th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS) (Lecce, Italy, Aug. 29 - Sept. 01 2017) Piscataway, NJ, USA : IEEE.

Mostafa Parchami, Saman Bashbaghi, Eric Granger. 2017. « Video-based face recognition using ensemble of haar-like deep convolutional neural networks ». 2017 International Joint Conference on Neural Networks (IJCNN) (Anchorage, AK, USA, May 14-19, 2017) p. 4625-4632. Piscataway, NJ, USA : IEEE.

Mostafa Parchami, Saman Bashbaghi, Eric Granger, Saif Sayed. 2017. « Using deep autoencoders to learn robust domain-invariant representations for still-to-video face recognition ». 14th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS) (Lecce, Italy, Aug. 29 - Sept. 01 2017) IEEE.

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) p. 555-566. Springer.

Marc-André Carbonneau, Eric Granger, Ghyslain Gagnon. 2016. « Score thresholding for accurate instance classification in multiple instance learning ». Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) (Oulu, Finland, Dec. 12-15, 2016) Piscataway, NJ, USA : IEEE.

Farshad Nourbakhsh, Eric Granger. 2016. « Learning of graph compressed dictionaries for sparse representation classification ». Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016) (Rome, Italy, Feb. 24-26, 2016) p. 309-316. SciTePress.

Marc-André Charbonneau, Éric Granger, Ghyslain Gagnon. 2016. « Witness identification in multiple instance learning using random subspaces ». 23rd International Conference on Pattern Recognition (ICPR) (Cancún, México, Dec. 04-08, 2016) p. 3639-3644. IEEE.

Roghayeh Soleymani, Eric Granger, Giorgio Fumera. 2016. « Classifier ensembles with trajectory under-sampling for face re-identification ». Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016) (Rome, Italy, Feb. 24-26, 2016) p. 97-108. SciTePress.

Roghayeh Soleymani, Eric Granger, Giorgio Fumera. 2016. « Loss factors for learning Boosting ensembles from imbalanced data ». 23rd International Conference on Pattern Recognition (ICPR) (Cancun, Mexico, Dec. 4-8, 2016) p. 204-209. IEEE.

Dmitry O Gorodnichy, David Bissessar, Eric Granger, Robert Laganiére. 2016. « Recognizing people and their activities in surveillance video: technology state of readiness and roadmap ». 13th Conference on Computer and Robot Vision (Victoria, BC, Canada, June 1-3, 2016) p. 250-259. IEEE.

Saman Bashbaghi, Éric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau. 2015. « Ensembles of exemplar-SVMs for video face recognition from a single sample per person ». 2015 12th IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS) (Karlsruhe, Germany, Aug. 25-28 2015) IEEE.

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) p. 509-520. Springer Verlag.

I. Amara, Eric Granger, A. Hadid. 2015. « On the effects of illumination normalization with LBP-based watchlist screening ». Computer Vision - ECCV 2014 Workshops. Proceedings: LNCS 8926 (Zurich, Switzerland, Sept. 6-12, 2014) p. 173-188. Cham, Switzerland : Springer International Publishing.

Fania Mokhayeri, Éric Granger, Guillaume-Alexandre Bilodeau. 2015. « Synthetic face generation under various operational conditions in video surveillance ». IEEE International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015) p. 4052-4056. IEEE.

Marc-André Carbonneau, Alexandre J. Raymond, Éric Granger, Ghyslain Gagnon. 2015. « Real-time visual play-break detection in sport events using a context descriptor ». 2015 IEEE International Symposium on Circuits and Systems (ISCAS). Proceedings (Lisbon, Portugal, May 24-27, 2015) p. 2808-2811. Piscataway, NJ, USA : IEEE.

Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Éric Granger. 2015. « Contextual object tracker with structure encoding ». 2015 IEEE International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015) p. 4937-4941. IEEE.

C. Pagano, E. Granger, R. Sabourin, G. L. Marcialis, F. Roli. 2015. « Adaptive classification for person re-identification driven by change detection ». ICPRAM 2015 - 4th International Conference on Pattern Recognition Applications and Methods, Proceedings (Lisbon, Portugal, Jan. 10-15, 2015) p. 45-55. SciTePress.

Miguel De La Torre, Éric Granger, Robert Sabourin. 2015. « Adaptive skew-sensitive fusion of ensembles and their application to face re-identification ». International Joint Conference on Neural Networks 2015 (Killarney, Ireland, July 12-17, 2015)

M. Ali Akber Dewan, E. Granger, R. Sabourin, G. L. Marcialis, F. Roli. 2015. « Video face recognition from a single still image using an adaptive appearance model tracker ». 2015 IEEE Symposium Series on Computational Intelligence (Cape Town, South Africa, Dec. 7-10, 2015) p. 196-202. IEEE.

Vitaliy Tayanov, Éric Granger, Miguel Bordallo, Abdenour Hadid. 2015. « Super-resolution pipeline for fast adjudication in watchlist screening ». IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA) (Orleans, France, Nov. 10-13, 2015) p. 273-278. IEEE.

Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau. 2014. « Watch-list screening using ensembles based on multiple face representations ». Proceedings - International Conference on Pattern Recognition (Stockholm, Sweden, Aug. 24-28, 2014) p. 4489-4494. IEEE.

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) p. 60-67. Piscataway, NJ, USA : 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) p. 105-116. Cham, Switzerland : Springer International Publishing.

M. De-la-Torre, Eric Granger, P. Radtke, R. Sabourin, D. O. Gorodnichy. 2014. « Self-updating with facial trajectories for video-to-video face recognition ». 2014 22nd International Conference on Pattern Recognition (ICPR) (Stockholm, Sweden, Aug. 24-28, 2014) p. 1669-1674. Los Alamitos, CA, USA : IEEE Computer Society.

M. De-la-Torre, Éric Granger, Robert Sabourin, D. O. Gorodnichy. 2014. « An Individual-Specific Strategy for Management of Reference Data in Adaptive Ensembles for Person Re-Identification ». 5th International Conference on Imaging for Crime Detection and Prevention (ICDP 2013) (London, UK, Dec. 16-17, 2013) Stevenage, UK : IET.

George S. Eskander, Robert Sabourin, Éric Granger. 2014. « Improving signature-based biometric cryptosystems using Cascaded Signature Verification-Fuzzy Vault (SV-FV) approach ». Proceedings. 2014 14th International Conference on Frontiers in Handwriting Recognition (ICFHR) (Heraklion, Sept. 1-4, 2014) p. 187-192. Los Alamitos, CA, USA : IEEE Computer Society.

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) p. 45-52. IEEE Computer Society.

Dmitry Gorodnichy, Éric Granger. 2014. « Target-based evaluation of face recognition technology for video surveillance applications ». IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Orlando, FL, USA, Dec. 9-12, 2014) p. 110-117. IEEE Computer Society.

Jean-François Connolly, Éric Granger, Robert Sabourin. 2013. « Evolving classifier ensembles using dynamic multi-objective swarm intelligence ». Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (Barcelona, Spain, Feb. 15-18, 2013) p. 206-215. SciTePress.

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) p. 89-98. Ibai Publishing.

Paulo Radtke, Robert Sabourin, Dmitry Gorodnichy. 2013. « Adaptive ensemble selection for face re-identification under class imbalance ». Multiple Classifier Systems : 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings (Nanjing, China, May 15-17, 2013) p. 95-108. Springer-Verlag.

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, Éric Granger. 2013. « A dissimilarity-based approach for biometric fuzzy vaults - Application to handwritten signature images ». New Trends in Image Analysis and Processing - ICIAP 2013 International Workshops, Naples, Italy, September 9-13, 2013. Proceedings (Naples, Italy, Sept. 9-13, 2013) p. 95-102. Heidelberg, Germany : Springer Verlag.

George S. Eskander, Robert Sabourin, Eric Granger. 2013. « Dissimilarity representation for handwritten signature verification ». CEUR Workshop Proceedings (Washington D.C., USA, Aug. 22-23, 2013) p. 26-30. CEUR-WS.

George S. Eskander, Robert Sabourin, Éric Granger. 2013. « On the dissimilarity representation and prototype selection for signature-based bio-cryptographic systems ». Similarity-Based Pattern Recognition : Second International Workshop, SIMBAD 2013, York, UK, July 3-5, 2013. Proceedings (York, UK, July 3-5, 2013) p. 265-280. Heidelberg, Germany : Springer Verlag.

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) p. 141-150. Ibai Publishing.

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) p. 1086-1091. Washington, DC : 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) Piscataway, N.J. : Institute of Electrical and Electronics Engineers Inc..

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) p. 1068-1071. Piscataway, NJ : 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) p. 2980-2984. Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc..

M. De-la-Torre, Éric Granger, P. V. W. Radtke, Robert Sabourin, D. O. Gorodnichy. 2012. « Incremental update of biometric models in face-based video surveillance ». The 2012 International Joint Conference on Neural Networks (IJCNN) (Brisbane, Australia, June 10-15, 2012) Piscataway, NJ, USA : IEEE.

M. De-la-Torre, P. V. W. Radtke, Éric Granger, Robert Sabourin, D. O. Gorodnichy. 2012. « A comparison of adaptive matchers for screening of faces in video surveillance ». 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications (CISDA) (Ottawa, ON, Canada, July 11-13, 2012) Piscataway, NJ, USA : IEEE.

Ajita Rattani, Gian Luca Marcialis, Éric Granger, Fabio Roli. 2012. « A dual-staged classification-selection approach for automated update of biometric templates ». 21st International Conference on Pattern Recognition (ICPR) (Tsukuba, Japan, Nov. 11-15, 2012) p. 2972-2975. Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc..

George S. Eskander, Robert Sabourin, Éric Granger. 2012. « Adaptation of writer-independent systems for offline signature verification ». 2012 International Conference on Frontiers in Handwriting Recognition (ICFHR) (Bari, Italy, Sept.18-20, 2012) p. 434-439. Los Alamitos, CA : IEEE Computer Society.

Eduardo Vellasques, Robert Sabourin, Éric Granger. 2012. « Gaussian mixture modeling for dynamic particle swarm optimization of recurrent problems ». GECCO'12 : Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference (Philadelphia, PA, USA, July 7-11, 2012) p. 73-80. New York, N.Y. : Association for Computing Machinery.

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) p. 340-349. Germany : Springer Verlag.

Luana Batista, Éric Granger, Robert Sabourin. 2011. « Dynamic ensemble selection for off-line signature verification ». 10th International Workshop on Multiple Classifier Systems (MCS) (Naples, Italy, June 15-17, 2011) p. 157-166. Germany : Springer Verlag.

Samuel Nault, Thierry Blaise, Tasse Fotso, Richard Lepage, Éric Granger. 2011. « Dénombrement de foule lors d’événements au quartier des spectacles de Montréal ». 79e Congrès de l'ACFAS (Sherbrooke, Canada, 9-13 mai 2011)

Jean-François Connolly, Éric Granger, Robert Sabourin. 2011. « Comparing dynamic PSO algorithms for adapting classifier ensembles in video-based face recognition ». IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Paris, France, Apr. 11-15, 2011) p. 1-8. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Bassem S. Rabil, Robert Sabourin, Éric Granger. 2011. « Impact of watermarking on offline signature verification in intelligent bio-watermarking systems ». IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Paris, France, Apr. 11-15, 2011) p. 13-20. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Bassem S. Rabil, Robert Sabourin, Éric Granger. 2011. « Watermarking stack of grayscale face images as dynamic multi-objective optimization problem ». International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry (New York, NY, USA, Aug. 30-Sept. 3, 2011) p. 63-77. Germany : IbaI Publishing.

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) p. 131-138. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Dmitry O. Gorodnichy, Elan Dubrofsky, Richard Hoshino, Wael Khreich, Éric Granger, Robert Sabourin. 2011. « Exploring the upper bound performance limit of iris biometrics using score calibration and fusion ». IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Paris, France, Apr. 11-15, 2011) p. 54-61. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

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) p. 4299-4303. Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.

Luana Batista, Éric Granger, Robert Sabourin. 2010. « A multi-classifier system for off-line signature verification based on dissimilarity representation ». 9th International Workshop on Multiple Classifier Systems (MCS) (Cairo, Egypt, Apr. 7-9, 2010) p. 264-273. Berlin, Germany : 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) p. 1293-1297. Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.

Jean-François Connolly, Éric Granger, Robert Sabourin. 2010. « An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification ». IEEE Congress on Evolutionary Computation (Barcelona, Spain, July 18-23, 2010) Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

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) p. 131-134. Los Alamitos, CA : 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) p. 139-142. Los Alamitos, CA : Institute of Electrical and Electronics Engineers Computer Society.

Éric Granger, D. Prieur, Jean-François Connolly. 2010. « Evolving ARTMAP neural networks using multi-objective particle swarm optimization ». IEEE World Congress on Evolutionary Computation (WCCI) (Barcelona, Spain, July 18-23, 2010) Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin. 2009. « A comparison of techniques for on-line incremental learning of HMM parameters in anomaly detection ». IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) (Ottawa, Ont., Canada, July 8-10, 2009) Washington, D.C. : 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) p. 1315-1319. Washington, D.C. : 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) Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Jean-François Connolly, Éric Granger, Robert Sabourin. 2009. « Incremental adaptation of fuzzy ARTMAP neural networks for video-based face classification ». IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) (Ottawa, Ont., Canada, July 8-10, 2009) Washington, D.C. : Institute of Electrical and Electronics Engineers Computer Society.

Jean-François Connolly, Éric Granger, Robert Sabourin. 2008. « Supervised incremental learning with the fuzzy ARTMAP neural network ». Artificial Neural Networks in Pattern Recognition. Third IAPR Workshop (ANNPR) (Paris, France, Jul. 2-4, 2008) p. 66-77. Berlin, Germany : Springer Verlag.

Éric Granger, Jean-Francois Connolly, Robert Sabourin. 2008. « A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning ». IEEE International Joint Conference on Neural Networks (IJCNN) (Hong Kong, China, June 1-8, 2008) p. 3305-3312. Piscataway, NJ, USA : 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.

Guillaume Latombe, Éric Granger, Fred A. Dilkes. 2007. « Incremental learning of stochastic grammars with graphical EM in radar electronic support ». IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Honolulu, HI, USA, April 15-20, 2007) p. 301-304. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

M. Barry, Éric Granger. 2007. « Comparison of ARTMAP neural networks for classification for face recognition from video ». Image Analysis and Recognition : 4th International Conference, ICIAR 2007, Montreal, Canada, August 22-24, 2007. Proceedings (Montreal, Canada, Aug. 22-24, 2007) p. 794-805. Heidelberg, Germany : Springer Verlag.

M. Barry-Camerra, Éric Granger. 2007. « Face recognition in video using a what-and-where fusion neural network ». International Joint Conference on Neural Networks (IJCNN) (Orlando, FL, USA, Aug. 12-17, 2007) p. 2255-2260. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Guillaume Latombe, Éric Granger, Fred A. Dilkes. 2006. « Fast incremental techniques for learning production rule probabilities in radar electronic support ». IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Toulouse, France, May 14-19, 2006) p. 773-776. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

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) p. 1475-1480. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Dominique Rivard, Éric Granger, Robert Sabourin. 2006. « Feature selection techniques for classification of satellite images with fuzzy ARTMAP neural networks ». Intelligent Engineering Systems through Artificial Neural Networks (Saint-Louis, MO, USA, Nov. 5-8, 2006) p. 479-486. ASME.

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) p. 2060-2067. Piscataway, NJ, USA : 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) p. 465-472. ASME.

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) p. 1075-1080. Piscataway, NJ, USA : 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) p. 539-548. Piscataway, NJ, USA : IEEE.

M.-A. Cantin, Y. Savaria, Y. Blaquière, E. Granger, P. Lavoie. 2000. « Analysis of quantization effects in a digital hardware implementation of a fuzzy ART neural network algorithm ». ISCAS 2000 Geneva : proceedings of the 2000 IEEE International Symposium on Circuits and Systems (Geneva, Switzerland, May 28-31, 2000) p. 141-144. 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 p. 35-40. Los Alamitos, Calif : IEEE Computer Society.

M.-A. Cantin, E. Granger, Y. Savaria, Y. Blaquière, P. Lavoie. 1999. « Four implementations of the fuzzy ART neural network for high data throughput applications ». Proceedings of the third International Conference on Cognitive and Neural Systems (ICCNS'99) (Boston, MA, USA, May 26-29, 1999) p. 15.

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) p. 3-12. New York : 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) p. 875-881. Cambridge, Massachusetts : MIT Press.

M.-A. Cantin, Y. Blaquière, Y. Savaria, E. Granger, P. Lavoie. 1998. « Implementation of the fuzzy ART neural network for fast clustering of radar pulses ». Proceedings of the 1998 International Symposium on Circuits and Systems (ISCAS'98) (Monterey, CA, USA, May 31-June 3, 1998) p. 458-461. IEEE.

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) p. 117-125. IEEE.

R. Gnana Praveen, Patrick Cardinal, Eric Granger. 2023. « Audio-visual fusion for emotion recognition in the valence-arousal space using joint cross-attention ». IEEE Transactions on Biometrics, Behavior, and Identity Science. (Sous presse)

Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger. 2022. « Deep interpretable classification and weakly-supervised segmentation of histology images via max-min uncertainty ». IEEE Transactions on Medical Imaging. vol. 41 , nº 3. p. 702-714.

Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger. 2022. « Incremental multi-target domain adaptation for object detection with efficient domain transfer ». Pattern Recognition. vol. 129

Wheidima Carneiro de Melo, Eric Granger, Abdenour Hadid. 2022. « A deep multiscale spatiotemporal network for assessing depression from facial dynamics ». IEEE Transactions on Affective Computing. vol. 13 , nº 3.

Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Salvador Garcia, Eric Granger, Jianyi Yang. 2022. « GEN: Generative Equivariant Networks for diverse image-to-image translation ». IEEE Transactions on Cybernetics. (Sous presse)

Frank M. Hafner, Amran Bhuyian, Julian F. P. Kooij, Eric Granger. 2022. « Cross-modal distillation for RGB-depth person re-identification ». Computer Vision and Image Understanding. vol. 216

Madhu Kiran, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Louis-Antoine Blais-Morin, Ismail Ben Ayed, Eric Granger. 2021. « Flow guided mutual attention for person re-identification ». Image and Vision Computing. vol. 113 11 p.

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.

Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger. 2021. « Knowledge distillation methods for efficient unsupervised adaptation across multiple domains ». Image and Vision Computing. vol. 108 11 p.

Wheidima Carneirodemelo, Eric G. Granger, Miguel Bordallo Lopez. 2021. « MDN: A deep maximization-differentiation network for spatio-temporal depression detection ». IEEE Transactions on Affective Computing. 13 p. (Sous presse)

Gnana Praveen Rajasekhar, Eric Granger, Patrick Cardinal. 2021. « Deep domain adaptation with ordinal regression for pain assessment using weakly-labeled videos ». Image and Vision Computing. vol. 110 11 p.

Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou, Ruili Wang, M. Emre Celebi, Jie Yang. 2021. « Image synthesis with adversarial networks: A comprehensive survey and case studies ». Information Fusion. vol. 72 p. 126-146.

Thomas Teixeira, Eric Granger, Alessandro Lameiras Koerich. 2021. « Continuous emotion recognition with spatiotemporal convolutional neural networks ». Applied Sciences. vol. 11 , nº 24.

Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, José Dolz, Ismail Ben Ayed. 2021. « Boundary loss for highly unbalanced segmentation ». Medical Image Analysis. vol. 67 11 p.

Fania Mokhayeri, Eric Granger. 2020. « A paired sparse representation model for robust face recognition from a single sample ». Pattern Recognition. vol. 100

Fania Mokhayeri, Eric Granger. 2020. « Video face recognition using siamese networks with block-sparsity matching ». IEEE Transactions on Biometrics, Behavior, and Identity Science. vol. 2 , nº 2. p. 133-144.

Marc-André Carbonneau, Eric Granger, Yazid Attabi, Ghyslain Gagnon. 2020. « Feature learning from spectrograms for assessment of personality traits ». IEEE Transactions on Affective Computing. vol. 11 , nº 1. p. 25-31.

Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Éric Granger. 2020. « Robust face tracking using multiple appearance models and graph relational learning ». Machine Vision and Applications. vol. 31 , nº 4. 17 p.

Roghayeh Soleymani, Eric Granger, Giorgio Fumera. 2020. « F-measure curves: A tool to visualize classifier performance under imbalance ». Pattern Recognition. vol. 100 19 p.

Hoel Kervadec, Jose Dolz, Meng Tang, Éric Granger, Yuri Boykov, Ismail Ben Ayed. 2019. « Constrained-CNN losses for weakly supervised segmentation ». Medical Image Analysis. vol. 54 p. 88-99.

Fania Mokhayeri, Eric Granger, Guillaume-Alexandre Bilodeau. 2019. « Domain-specific face synthesis for video face recognition from a single sample per person ». IEEE Transactions on Information Forensics and Security. vol. 14 , nº 3. p. 757-772.

Marc-André Carbonneau, Eric Granger, Ghyslain Gagnon. 2019. « Bag-level aggregation for multiple-instance active learning in instance classification problems ». IEEE Transactions on Neural Networks and Learning Systems. vol. 30 , nº 5. p. 1441-1451.

Marc-André Carbonneau, Veronika Cheplygina, Eric Granger, Ghyslain Gagnon. 2018. « Multiple instance learning: A survey of problem characteristics and applications ». Pattern Recognition. vol. 77 p. 329-353.

Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Éric Granger. 2018. « Tracking using numerous anchor points ». Machine Vision and Applications. vol. 29 , nº 2. 15 p. p. 247-261.

Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Éric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu. 2018. « Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks ». Medical Physics. vol. 45 , nº 12. p. 5482-5493.

Roghayeh Soleymani, Eric Granger, Giorgio Fumera. 2018. « Progressive boosting for class imbalance and its application to face re-identification ». Expert Systems with Applications. vol. 10 21 p. p. 271-291.

Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau. 2017. « Dynamic ensembles of exemplar-SVMs for still-to-video face recognition ». Pattern Recognition. vol. 69 p. 61-81.

Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau. 2017. « Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations ». Machine Vision and Applications. vol. 28 , nº 1/2. p. 219-241.

George Ekladious, Robert Sabourin, Eric Granger. 2017. « Learning global-local distance metrics for signature-based biometric cryptosystems ». Cryptography. vol. 1 , nº 3. 22 p.

Marc-André Carbonneau, Éric Granger, Alexandre J. Raymond, Ghyslain Gagnon. 2016. « Robust multiple-instance learning ensembles using random subspace instance selection ». Pattern Recognition. vol. 58 p. 83-99.

M. Ali Akber Dewan, É. Granger, G. L. Marcialis, R. Sabourin, F. Roli. 2016. « Adaptive appearance model tracking for still-to-video face recognition ». Pattern Recognition. vol. 49 p. 129-151.

Miguel De-la-Torre, Éric Granger, Paulo V. W. Radtke, Robert Sabourin, Dmitry O. Gorodnichy. 2015. « Partially-supervised learning from facial trajectories for face recognition in video surveillance ». Information Fusion. vol. 24 p. 31-53.

Miguel De-la-Torre, Éric Granger, Robert Sabourin, Dmitry O. Gorodnichy. 2015. « Adaptive skew-sensitive ensembles for face recognition in video surveillance ». Pattern Recognition. vol. 48 , nº 11. p. 3385-3406.

Miguel De-la-Torre, Éric Granger, Robert Sabourin, Dmitry O. Gorodnichy. 2015. « An adaptive ensemble-based system for face recognition in person re-identification ». Machine Vision and Applications. vol. 26 , nº 6. p. 741-773.

Miguel De-la-Torre, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy. 2015. « Individual-specific management of reference data in adaptive ensembles for face re-identification ». IET Computer Vision. vol. 9 , nº 5. p. 732-740.

C. Pagano, Éric Granger, Robert Sabourin, G. L. Marcialis, F. Roli. 2014. « Adaptive ensembles for face recognition in changing video surveillance environments ». Information Sciences. vol. 286 p. 75-101.

Bassem S. Rabil, Robert Sabourin, Éric Granger. 2014. « Rapid blockwise multi-resolution clustering of facial images for intelligent watermarking ». Machine Vision and Applications. vol. 25 , nº 2. p. 277-300.

Paulo V. W. Radtke, Éric Granger, Robert Sabourin, Dmitry O. Gorodnichy. 2014. « Skew-sensitive boolean combination for adaptive ensembles - An application to face recognition in video surveillance ». Information Fusion. vol. 20 , nº 1. p. 31-48.

George S. Eskander, Robert Sabourin, Éric Granger. 2014. « A bio-cryptographic system based on offline signature images ». Information Sciences. vol. 259 p. 170-191.

Jean-François Connolly, Eric Granger, Robert Sabourin. 2013. « Dynamic multi-objective evolution of classifier ensembles for video face recognition ». Applied Soft Computing Journal. vol. 13 , nº 6. p. 3149-3166.

Bassem S. Rabil, Safa Tliba, Éric Granger, Robert Sabourin. 2013. « Securing high resolution grayscale facial captures using a blockwise coevolutionary GA ». Expert Systems with Applications. vol. 40 , nº 17. p. 6693-6706.

Dominique Rivard, Éric Granger, Robert Sabourin. 2013. « Multi-feature extraction and selection in writer-independent off-line signature verification ». International Journal on Document Analysis and Recognition. vol. 16 , nº 1. p. 83-103.

Saeed Samet, Ali Miri, Éric Granger. 2013. « Incremental learning of privacy-preserving Bayesian networks ». Applied Soft Computing. vol. 13 , nº 8. p. 3657-3667.

George S. Eskander, Robert Sabourin, Éric Granger. 2013. « Hybrid writer-independent writer-dependent offline signature verification system ». IET Biometrics. vol. 2 , nº 4. p. 169-181.

E. Vellasques, Robert Sabourin, Éric Granger. 2013. « Fast intelligent watermarking of heterogeneous image streams through mixture modeling of PSO populations ». Applied Soft Computing. vol. 13 , nº 6. p. 3130-3148.

Eduardo Vellasques, Robert Sabourin, Éric Granger. 2013. « DS-DPSO: A dual surrogate approach for intelligent watermarking of bi-tonal document image streams ». Expert Systems with Applications. vol. 40 , nº 13. p. 5240-5259.

Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin. 2012. « A survey of techniques for incremental learning of HMM parameters ». Information Sciences. vol. 197 p. 105-130.

Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin. 2012. « Adaptive ROC-based ensembles of HMMs applied to anomaly detection ». Pattern Recognition. vol. 45 , nº 1. p. 208-230.

L. Batista, E. Granger, R. Sabourin. 2012. « Dynamic selection of generative-discriminative ensembles for off-line signature verification ». Pattern Recognition. vol. 45 , nº 4. p. 1326-1340.

Guillaume Latombe, Éric Granger, Fred A. Dilkes. 2012. « Graphical EM for on-line learning of grammatical probabilities in radar electronic support ». Applied Soft Computing. vol. 12 , nº 8. p. 2362-2378.

J. F. Connolly, E. Granger, R. Sabourin. 2012. « Evolution of heterogeneous ensembles through dynamic particle swarm optimization for video-based face recognition ». Pattern Recognition. vol. 45 , nº 7. p. 2460-2477.

Jean-François Connolly, Éric Granger, Robert Sabourin. 2012. « An adaptive classification system for video-based face recognition ». Information Sciences. vol. 192 p. 50-70.

Éric Granger, W. Khreich, Robert Sabourin, D. O. Gorodnichy. 2012. « Fusion of biometric systems using Boolean combination: an application to iris-based authentication ». International Journal of Biometrics. vol. 4 , nº 3. p. 291-315.

Eduardo Vellasques, Robert Sabourin, Éric Granger. 2011. « A high throughput system for intelligent watermarking of bi-tonal images ». Applied Soft Computing. vol. 11 , nº 8. p. 5215-5229.

Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin. 2010. « Iterative Boolean combination of classifiers in the ROC space : an application to anomaly detection with HMMs ». Pattern Recognition. vol. 43 , nº 8. p. 2732-2752.

Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin. 2010. « On the memory complexity of the forward-backward algorithm ». Pattern Recognition Letters. vol. 31 , nº 2. p. 91-99.

Luana Batista, Éric Granger, Robert Sabourin. 2010. « Improving performance of HMM-based off-line signature verification systems through a multi-hypothesis approach ». International Journal on Document Analysis and Recognition. vol. 13 , nº 1. p. 33-47.

Guillaume Latombe, Éric Granger, Fred A. Dilkes. 2010. « Fast learning of grammar production probabilities in radar electronic support ». IEEE Transactions on Aerospace and Electronic Systems. vol. 46 , nº 3. p. 1262-1289.

Éric Granger, Philippe Henniges, Robert Sabourin, Luiz S. Oliveira. 2007. « Supervised learning of fuzzy ARTMAP neural networks through particle swarm optimization ». Journal of Pattern Recognition Research. vol. 2 , nº 1. p. 27-60.

Éric Granger, Serge Catudal, Robert Grou, Mame Maria Mbaye, Yvon Savaria. 2004. « On current strategies for hardware acceleration of digital image restoration filters ». WSEAS Transactions on Electronics. vol. 1 , nº 3. p. 551-557.

Eric Granger, Yvon Savaria, Pierre Lavoie. 2003. « A pattern reordering approach based on ambiguity detection for online category learning ». IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 25 , nº 4. p. 524-528.

Eric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie. 2001. « A What-and-Where fusion neural network for recognition and tracking of multiple radar emitters ». Neural Networks. vol. 14 , nº 3. p. 325-344.

Eric Granger, Yvon Savaria, Pierre Lavoie, Marc-André Cantin. 1998. « A comparison of self-organizing neural networks for fast clustering of radar pulses ». Signal Processing. vol. 64 , nº 3. p. 249-269.

E. Granger, Y. Savaria, Y. Blaquière, M.-A. Cantin, P. Lavoie. 1997. « A VLSI architecture for fast clustering with the fuzzy ART neural network ». Journal of Microelectronic Systems Integration. vol. 5 , nº 1. p. 3-18.

Saman Bashbaghi, Eric Granger, Robert Sabourin, Mostafa Parchami. 2019. « Deep learning architectures for face recognition in video surveillance ». In Deep learning in object detection and recognition . p. 133-154. Springer.

Donavan Prieur, Éric Granger, Yvon Savaria, Claude Thibeault. 2016. « Efficient identification of faces in video streams using low-power multi-core devices ». In Handbook of Pattern Recognition and Computer Vision . 5th ed.. p. 427-454. World Scientific.

Eduardo Vellasques, Robert Sabourin, Éric Granger. 2016. « A dual-purpose memory approach for dynamic particle swarm optimization of recurrent problems ». In Recent Advances in Computational Intelligence in Defense and Security Coll. «Studies in Computational Intelligence», Part III. p. 367-389. Springer International Publishing.

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 Coll. «Advances in Computer Vision and Pattern Recognition», . 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 . 4th ed.. p. 687-724. World Scientific Publishing.

Éric Granger, Philippe Henniges, Robert Sabourin, Luis S. Oliveira. 2010. « Match tracking strategies for fuzzy ARTMAP neural networks ». In Handbook of Pattern Recognition and Computer Vision . 4th ed.. p. 73-100. 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.

Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maeir-Hein, Stefanie Demirci, Éric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo%I Springer Carneiro. 2017. « Intravascular imaging and computer assisted stenting, and large-scale annotation of biomedical data and expert label synthesis : 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017 : Proceedings ». 166 p.

Ajita Rattani, Fabio Roli, Éric Granger. 2015. « Adaptive Biometric Systems: Recent Advances and Challenges ». Springer International Publishing. 134 p.

Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Éric Granger. 2014. « Automatic image registration in infrared-visible videos using polygon vertices ». arXiv. 7 p.

Dmitry O. Gorodnichy, Eric Granger, Paolo Radtke. 2014. « Survey of commercial technologies for face recognition in video ». «Contract Report» Agence des services frontaliers du Canada = Canada Border Services Agency. 35 p.

E. Granger, D. O. Gorodnichy, E. Choy, W. Khreich, P. Radtke, J.-P. Bergeron, D. Bissessar. 2014. « Results from evaluation of three commercial off-the-shelf face recognition systems on chokepoint dataset ». «Contract Report» Agence des services frontaliers du Canada = Canada Border Services Agency. 76 p.

Eric Granger, Dmitry O. Gorodnichy. 2014. « Evaluation methodology for face recognition technology in video surveillance applications ». «Contract Report» Agence des services frontaliers du Canada = Canada Border Services Agency. 76 p.

Eric Granger, Paolo Radtke, Dmitry O. Gorodnichy. 2014. « Survey of academic research and prototypes for face recognition in video ». «Contract Report» Agence des services frontaliers du Canada = Canada Border Services Agency. 35 p.

Richard Lepage, Éric Granger. 2011. « Méthodes d'évaluation de l'achalandage du quartier des spectacles : étape 1 : revue de documentation ». Montréal, Canada. «Rapport technique (École de technologie supérieure)» École de technologie supérieure. 41 p.

Guillaume Latombe, Éric Granger, Fred A. Dilkes. 2009. « Fast learning of grammatical probabilities in radar electronic support ». Ottawa, Canada. Defence R&D Canada -Ottawa. 94 p.

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 )

Éric Granger, S. Catudal, M. Grou, M. Mbaye, Y. Savia. 2004. « On current strategies for hardware acceleration of digital image restoration filters ». Communication lors de la conférence : 2004 WSEAS International Conference on Signal, Speech and Image Processing (ICOSSIP) ( Izmir, Turkey, Sept. 12-16, 2004 )

M.-A. Cantin, Y. Blaquière, Y. Savaria, P. Lavoie, E. Granger. 2000. « Effets de quantification sur l'implantation digital du réseau de neurone Fuzzy ». Affiche présentée lors de la conférence : Congrès de l'ACFAS ( Montreal, QC, Canada, 15-19 mai 2000 )

Y. Savaria, Y. Blaquière, M.-A. Cantin, E. Granger, P. Poiré, H. Daniel. 2000. « Implementations of the fuzzy ART neural networks on three different plaforms for fast clustering of radar pulses ». Affiche présentée lors de la conférence : GRIAO - Research review ( , 1998 )

M.-A. Cantin, Y. Savaria, Y. Blaquière, P. Lavoie, E. Granger, P. Poiré, et al.. 1998. « Implementations of the fuzzy ART neural networks on three different platforms for fast clustering of radar pulses ». Affiche présentée lors de la conférence : TEXPO, Symposium on Microelectronics Research & Development in Canada ( ,  )