+ Papers in refereed conference proceedings

«Distance functions and normalization under stream scenarios»

Barboza, Eduardo V. L., De Almeida, Paulo R. L., De Souza Britto, Alceu and Cruz, Rafael M. O..”
International Joint Conference on Neural Networks (Gold Coast, Australia, June 18-23, 2023)Institute of Electrical and Electronics Engineers. 2023.

«GNN-DES: A new end-to-end dynamic ensemble selection method based on multi-label graph neural network»

de Araujo Souza, Mariana, Sabourin, Robert, da Cunha Cavalcanti, George Darmiton and Cruz, Rafael Menelau Oliveira E..”
Graph-Based Representations in Pattern Recognition : 13th IAPR-TC-15 International Workshop, GbRPR, Proceedings (Vietri sul Mare, Italy, Sept. 06-08, 2023) vol. 14121.pp. 59-69.Springer Science and Business Media. 2023.

«Privileged knowledge distillation for dimensional emotion recognition in the wild»

Aslam, Muhammad Haseeb, Osama Zeeshan, Muhammad, Pedersoli, Marco, Koerich, Alessandro L., Bacon, Simon and Granger, Eric.”
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vancouver, BC, Canada, June 17-24, 2023)pp. 3338-3347.IEEE Computer Society. 2023.

«Cascaded zoom-in detector for high resolution aerial images»

Meethal, Akhil, Granger, Eric and Pedersoli, Marco.”
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vancouver, BC, Canada, June 17-24, 2023)pp. 2046-2055.IEEE Computer Society. 2023.

«TCAM: Temporal class activation maps for object localization in weakly-labeled unconstrained videos»

Belharbi, Soufiane, Ben Ayed, Ismail, McCaffrey, Luke and Granger, Eric.”
23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 02-07, 2023)pp. 137-146.Institute of Electrical and Electonics Engineers Inc.. 2023.

«Negative evidence matters in interpretable histology image classification»

Belharbi, Soufiane, Pedersoli, Marco, Ben Ayed, Ismail, McCaffrey, Luke and Granger, Éric.”
Medical Imaging with Deep Learning MIDL (Zurich, Switzerland, July 06-08, 2022) 2022.

«Multimodal data augmentation for visual-infrared person ReID with corrupted data»

Josi, Arthur, Alehdaghi, Mahdi, Cruz, Rafel M. O. and Granger, Eric.”
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.. 2023.

«Discriminative sampling of proposals in self-supervised transformers for weakly supervised object localization»

Murtaza, Shakeeb, Belharbi, Soufiane, Pedersoli, Marco, Sarraf, Aydin and Granger, Eric.”
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.. 2023.

«Multimodal data augmentation for visual-infrared person ReID with corrupted data»

Josi, Arthur, Alehdaghi, Mahdi, Cruz, Rafel M. O. and Granger, Eric.”
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.. 2023.

«TransVLAD: Multi-scale attention-based global descriptors for visual geo-localization»

Xu, Yifan, Shamsolmoali, Pourya, Granger, Eric, Nicodeme, Claire, Gardes, Laurent and Yang, Jie.”
IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023)p. 2839-2848.Institute of Electrical and Electronics Engineers Inc.. 2023.

«Privacy-preserving person detection using low-resolution infrared cameras»

Dubail, Thomas, Guerrero Peña, Fidel Alejandro, Medeiros, Heitor Rapela, Aminbeidokhti, Masih, Granger, Eric and Pedersoli, Marco.”
Computer Vision – ECCV 2022 Workshops (Tel Aviv, Israel, Oct. 23-27, 2022) vol. 13805.p. 689-702.Springer Science and Business Media. 2023.

«Camera alignment and weighted contrastive learning for domain adaptation in video person ReID»

Mekhazni, Djebril, Dufau, Maximilien, Desrosiers, Christian, Pedersoli, Marco and Granger, Eric.”
IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023)p. 1624-1633.Institute of Electrical and Electronics Engineers Inc.. 2023.

«Enhanced single-shot detector for small object detection in remote sensing images»

Shamsolmoali, Pourya, Zareapoor, Masoumeh, Jie, Yang, Granger, Eric and Chanussot, Jocelyn.”
IGARSS 2022 – 2022 IEEE International Geoscience and Remote Sensing Symposium (Kuala Lumpur, Malaysia, July 17-22, 2022)p. 1716-1719.Piscataway, NJ, USA : IEEE. 2022.

«Semi-weakly supervised object detection by sampling pseudo ground-truth boxes»

Meethal, Akhil, Pedersoli, Marco, Zhu, Zhongwen, Romero, Francisco Perdigon and Granger, Eric.”
International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022)Institute of Electrical and Electronics Engineers Inc.. 2022.

«Constrained deep networks: Lagrangian optimization via Log-barrier extensions»

Kervadec, H., Dolz, J., Yuan, J., Desrosiers, C., Granger, E. and Ben Ayed, I..”
30th European Signal Processing Conference (EUSIPCO) (Belgrade, Serbia, Aug. 29-Sept. 02, 2022)p. 962-966.European Signal Processing Conference, EUSIPCO. 2022.

«Salient skin lesion segmentation via dilated scale-wise feature fusion network»

Shamsolmoali, Pourya, Zareapoor, Masoumeh, Yang, Jie, Granger, Eric and Zhou, Huiyu.”
26th International Conference on Pattern Recognition (ICPR) (Montreal, QC, Canada, Aug. 21-25, 2022)p. 4219-4225.Institute of Electrical and Electronics Engineers Inc.. 2022.

«F-CAM: Full resolution class activation maps via guided parametric upscaling»

Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger”
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.. 2022.

«Temporal stochastic softmax for 3D CNNs : An application in facial expression recognition»

Theo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger”
IEEE Winter Conference on Applications of Computer Vision (WACV) (En ligne, Jan. 05-09, 2021)p. 3028-3037.Institute of Electrical and Electronics Engineers. 2021.

«Unsupervised multi-target domain adaptation through knowledge distillation»

L. T. Nguyen-Meidine, A. Belal, M. Kiran, J. Dolz, L. A. Blais-Morin, E. Granger”
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. 2021.

«Cross attentional audio-visual fusion for dimensional emotion recognition»

R. Gnana Praveen, Eric Granger, Patrick Cardinal”
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.. .2021.

«Deep active learning for joint classification segmentation with weak annotator»

Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger”
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. 2021.

«Augmented Lagrangian Adversarial Attacks»

Jerome Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed”
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.. 2021.

«COMET-OCEP: A software process for research and development»

Jesús Fonseca, Miguel De-la-Torre, Salvador Cervantes, Eric Granger, Jezreel Mejia”
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. 2021.

«Holistic guidance for occluded person re-identification»

Madhu Kiran, Gnana R. Praveen, Le Thanh Nguyen-Meidine, Soufiane Belharbi, Louis-Antoine Blais Morin, Eric Granger”
The 32nd British Machine Vision Conference (En ligne, Nov. 22-25, 2021)BMVC.2021.

«Joint progressive knowledge distillation and unsupervised domain adaptation»

Nguyen-Meidine Le Thanh, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin”
International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020)Piscataway, NJ, USA : IEEE. 2020.

«Convolutional STN for weakly supervised object localization»

Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger”
25th International Conference on Pattern Recognition (ICPR) (Milan, Italy – En ligne, Jan. 10-15, 2021)p. 10157-10164.IEEE. 2020.

«Unsupervised domain adaptation in the dissimilarity space for person re-identification»

Djebril Mekhazni, Amran Bhuiyan, George Ekladious, Eric Granger”
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. 2020.

«Cross-Domain face synthesis using a controllable GAN»

Fania Mokhayeri, Kaveh Kamali, Éric Granger”
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.. 2020.

«Progressive gradient pruning for classification, detection and domain adaptation»

Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Marco Pedersoli, Louis-Antoine Blais-Morin”
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.. 2020.

«Encoding temporal information for automatic depression recognition from facial analysis»

Wheidima Carneiro De Melo, Eric Granger, Miguel Bordallo Lopez”
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.. 2020.

«Dual-triplet metric learning for unsupervised domain adaptation in video face recognition»

George Ekladious, Hugo Lemoine, Eric Granger, Kaveh Kamali, Salim Moudache”
International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020)Piscataway, NJ, USA : IEEE. 2020.

«Deep weakly supervised domain adaptation for pain localization in videos»

Gnana R. Praveen, Eric Granger, Patrick Cardinal”
15th IEEE International Conference on Automatic Face and Gesture Recognition (FG) (Buenos Aires, Argentina, Nov. 16-20, 2020)p. 473-480.IEE Computer Society.2020.

«Pose guided gated fusion for person re-identification»

Amran Bhuiyan, Yang Liu, Parthipan Siva, Mehrsan Javan, Ismail Ben Ayed, Éric Granger”
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.. 2020.

«A unifying mutual information view of metric learning: Cross-entropy vs. Pairwise losses»

Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed”
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. 2020.

«Laplacian regularized few-shot learning»

Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed”
37th International Conference on Machine Learning (ICML) (En ligne, July 12-18, 2020)p. 11596-11606. 2020.

«Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision»

Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed”
Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada (Montreal, QC, Canada, July 06-08, 2020)p. 365-381.PLMR. 2020.

«Robust video face recognition from a single still using a synthetic plus variational model»

Fania Mokhayeri, Eric Granger”
14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019) (Lille, France, May 14-18, 2019)Piscataway, NJ, USA : IEEE. Compte des citations dans Scopus : 1. 2019.

«Using adaptive trackers for video face recognition from a single sample per person»

Francis Charette Migneault, Eric Granger, Fania Mokhayeri”
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.. 2019.

«Emotion recognition with spatial attention and temporal softmax pooling»

Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger”
Image Analysis and Recognition : 16th International Conference, ICIAR : Proceedings (Waterloo, ON, Canada, Aug. 27-29, 2019) p. 323-331.Cham, Switzerland : Springer International Publishing. 2019.

«Combining global and local convolutional 3D networks for detecting depression from facial expressions»

Wheidima Carneiro de Melo, Eric Granger, Abdenour Hadid”
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.. 2019.

«Depression detection based on deep distribution learning»

Wheidima Carneiro De Melo, Eric Granger, Abdenour Hadid”
26th IEEE International Conference on Image Processing (ICIP) (Taipei, Taiwan, Sept. 22-25, 2019)p. 4544-4548.Taipei, Taiwan : IEEE Computer Society. 2019.

«Decoupling direction and norm for efficient gradient-based L2 adversarial attacks and defenses»

Jérôme Rony, Luiz G.Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger”
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Long Beach, CA, USA, June 15-20, 2019)p. 4317-4325.IEEE .2019.

«Audio-visual kinship verification in the wild»

Wu Xiaoting, Éric Granger, Tomi H. Kinnunen, Feng Xiaoyi, Abdenour Hadid”
International Conference on Biometrics (ICB) (Crete, Greece, June 04-07, 2019)Piscataway, NJ, USA : IEEE. 2019.

«RGB-depth cross-modal person re-identification»

Frank M. Hafner, Amran Bhuiyan, Julian F. P. Kooij, Eric Granger”
16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (Taipei, Taiwan, Sept. 18-21, 2019)Piscataway, NJ, USA : IEEE .2019.

«Boundary loss for highly unbalanced segmentation»

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

«Curriculum semi-supervised segmentation»

Hoel Kervadec, Jose Dolz, Éric Granger, Ismail Ben Ayed”
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. 2019.

«On the interaction between deep detectors and siamese trackers in video surveillance»

Madhu Kiran, Vivek Tiwari, Le Thanh Nguyen-Meidine, Louis-Antoine Blais Morin, Eric Granger”
16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (Taipei, Taiwan, Sept. 18-21, 2019)Piscataway, NJ, USA : IEEE. 2019.

«Contextual weighting of patches for local matching in still-to-video face recognition»

Ibtihel Amara, Eric Granger, Abdenour Hadid”
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. 2018.

«Decoupling direction and norm for efficient gradient-based l2 adversarial attacks»

Jérôme Rony, Luiz Gustavo, Robert Sabourin, Eric Granger”
NeurIPS 2018 Workshop on Security in Machine Learning (Montreal, QC, Canada, Dec. 7, 2018) 2018.

«F-Measure curves for visualizing classifier performance with imbalanced data»

Roghayeh Soleymani, Eric Granger, Giorgio Fumera”
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 2018.

«Scalable Laplacian K-modes»

Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed”
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). 2018.

«Constrained-CNN losses for weakly supervised segmentation»

Hoel Kervadec, Jose Dolz, Meng Tang, Éric Granger, Yuri Boykov, Ismail Ben Ayed”
1st Conference on Medical Imaging with Deep Learning (MIDL 2018) (Amsterdam, Netherlands, July 4-6, 2018) 2018.

«Dynamic selection of exemplar-SVMs forwatch-list screening through domain adaptation»

Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau”
6th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2017) (Porto, Portugal, Feb. 24-26, 2017)p. 738-745.SciTePress. 2017.

«An extended sparse classification framework for domain adaptation in video surveillance»

Farshad Nourbakhsh, Eric Granger, Giorgio Fumera”
omputer 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. 2017.

«CNNs with cross-correlation matching for face recognition in video surveillance using a single training sample per person»

Mostafa Parchami, Saman Bashbaghi, Eric Granger”
14th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS) (Lecce, Italy, Aug. 29 – Sept.01 2017)Piscataway, NJ, USA : IEEE. 2017.

«Video-based face recognition using ensemble of haar-like deep convolutional neural networks»

Mostafa Parchami, Saman Bashbaghi, Eric Granger”
2017 International Joint Conference on Neural Networks (IJCNN) (Anchorage, AK, USA, May 14-19, 2017)p. 4625-4632.Piscataway, NJ, USA : IEEE. 2017.

«Using deep autoencoders to learn robust domain-invariant representations for still-to-video face recognition»

Mostafa Parchami, Saman Bashbaghi, Eric Granger, Saif Sayed”
14th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS) (Lecce, Italy, Aug. 29- Sept. 01 2017)IEEE. 2017.

«Multi-orientation scene text detection leveraging background suppression»

Xihan Wang, Xiaoyi Feng, Zhaoqiang Xia, Jinye Peng, E. Granger”
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 .2017.

«A comparison of CNN-based face and head detectors for real-time video surveillance applications»

Nguyen-Meidine Le Thanh, Eric Granger, Madhu Kiran, Louis-Antoine Blais-Morin”
Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) (Montreal, QC, Canada, Nov. 28 – Dec. 01, 2017)Piscataway, NJ, USA : IEEE. 2017.

«Score thresholding for accurate instance classification in multiple instance learning»

Marc-André Carbonneau, Eric Granger, Ghyslain Gagnon”
Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) (Oulu, Finland, Dec. 12-15, 2016)Piscataway, NJ, USA : IEEE. 2016.

«Witness identification in multiple instance learning using random subspaces»

Marc-André Charbonneau, Éric Granger, Ghyslain Gagnon”
23rd International Conference on Pattern Recognition (ICPR) (Cancún, México, Dec. 04-08, 2016)p. 3639-3644.IEEE. 2016.

«Learning of graph compressed dictionaries for sparse representation classification»

Farshad Nourbakhsh, Eric Granger”
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016) (Rome, Italy, Feb. 24-26, 2016)p. 309-316.SciTePress. 2016.

«Recognizing people and their activities in surveillance video: technology state of readiness and roadmap»

Dmitry O Gorodnichy, David Bissessar, Eric Granger, Robert Laganiére”
13th Conference on Computer and Robot Vision (Victoria, BC, Canada, June 1-3, 2016)p. 250-259.IEEE. 2016.

«Classifier ensembles with trajectory under-sampling for face re-identification»

Roghayeh Soleymani, Eric Granger, Giorgio Fumera”
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016) (Rome, Italy, Feb. 24-26, 2016)p. 97-108.SciTePress. 2016.

«Loss factors for learning Boosting ensembles from imbalanced data»

Roghayeh Soleymani, Eric Granger, Giorgio Fumera”
23rd International Conference on Pattern Recognition (ICPR) (Cancun, Mexico, Dec. 4-8, 2016)p. 204-209.IEEE. 2016.

«Real-time visual play-break detection in sport events using a context descriptor»

Marc-André Carbonneau, Alexandre J.Raymond, Éric Granger, Ghyslain Gagnon”
2015 IEEE International Symposium on Circuits and Systems (ISCAS). Proceedings (Lisbon, Portugal, May 24-27, 2015)p. 2808-2811.Piscataway, NJ, USA : IEEE .2015.

«Contextual object tracker with structure encoding»

Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Éric Granger”
2015 IEEE International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015)p. 4937-4941.IEEE. 2015.

«Synthetic face generation under various operational conditions in video surveillance»

Fania Mokhayeri, Éric Granger, Guillaume-Alexandre Bilodeau”
IEEE International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015)p. 4052-4056.IEEE. 2015.

«On the effects of illumination normalization with LBP-based watchlist screening»

I. Amara, Eric Granger, A. Hadid”
Computer Vision – ECCV 2014 Workshops. Proceedings: LNCS 8926 (Zurich, Switzerland, Sept. 6-12, 2014)p. 173-188.Cham, Switzerland : Springer International Publishing .2015.

«Adaptive skew-sensitive fusion of ensembles and their application to face re-identification»

Miguel De La Torre, Éric Granger, Robert Sabourin”
International Joint Conference on Neural Networks 2015 (Killarney, Ireland, July 12-17, 2015) 2015.

«Ensembles of exemplar-SVMs for video face recognition from a single sample per person»

Saman Bashbaghi, Éric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau”
2015 12th IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS) (Karlsruhe, Germany, Aug. 25-28 2015)IEEE. 2015.

«Adaptive classification for person re-identification driven by change detection»

C. Pagano, E. Granger, R. Sabourin, G. L. Marcialis, F. Roli”In ICPRAM 2015 – 4th International Conference on Pattern Recognition Applications and Methods, Proceedings (Lisbon, Portugal, Jan. 10-15, 2015)p. 45-55.SciTePress. .2015.

«Video face recognition from a single still image using an adaptive appearance model tracker»

M. Ali Akber Dewan, E. Granger, R. Sabourin, G. L. Marcialis, F. Roli”
2015 IEEE Symposium Series on Computational Intelligence (Cape Town, South Africa, Dec. 7-10, 2015)p. 196-202.IEEE. 2015.

«Super-resolution pipeline for fast adjudication in watchlist screening»

Vitaliy Tayanov, Éric Granger, Miguel Bordallo, Abdenour Hadid”
IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA) (Orleans, France, Nov. 10-13, 2015)p. 273-278.IEEE. 2015.

«Spatio-temporal fusion for learning of regions of interests over multiple video streams»

Samaneh Khoshrou, Jaime S. Cardoso, Eric Granger, Luis F. Teixeira”
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. 2015.

«Self-updating with facial trajectories for video-to-video face recognition»

M. De-la-Torre, Eric Granger, P. Radtke, R. Sabourin, D. O. Gorodnichy”
2014 22nd International Conference on Pattern Recognition (ICPR) (Stockholm, Sweden, Aug. 24-28, 2014)p. 1669-1674.Los Alamitos, CA, USA : IEEE Computer Society .2014.

«Efficient adaptive face recognition systems based on capture conditions»

C. Pagano, É. Granger, R. Sabourin, A. Rattani, G. L. Marcialis, F. Roli.”
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. 2014.

«Watch-list screening using ensembles based on multiple face representations»

Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau”
Proceedings – International Conference on Pattern Recognition (Stockholm, Sweden, Aug. 24-28, 2014)p. 4489-4494.IEEE. 2014.

«An Individual-Specific Strategy for Management of Reference Data in Adaptive Ensembles for Person Re-Identification»

M. De-la-Torre, Éric Granger, Robert Sabourin, D. O. Gorodnichy”
5th International Conference on Imaging for Crime Detection and Prevention (ICDP 2013) (London, UK, Dec. 16-17, 2013)Stevenage, UK : IET. 2014.

«Improving signature-based biometric cryptosystems using Cascaded Signature Verification-Fuzzy Vault (SV-FV) approach»

George S.Eskander, Robert Sabourin, Éric Granger”
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. 2014.

«Offline signature-based fuzzy vault: A review and new results»

George S. Eskander, Robert Sabourin, Éric Granger”
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. 2014.

«Target-based evaluation of face recognition technology for video surveillance applications»

Dmitry Gorodnichy, Éric Granger”
IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Orlando, FL, USA, Dec. 9-12, 2014)p. 110-117.IEEE Computer Society. 2014.

«Efficient adaptive face recognition systems based on capture conditions»

C. Pagano, É. Granger, R. Sabourin, A. Rattani, G. L. Marcialis, F. Roli”
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 .2014.

«Dynamic weighted fusion of adaptive classifier ensembles based on changing data streams»

Christophe Pagano, Éric Granger, Robert Sabourin, Gian Luca Marcialis, Fabio Roli”
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. 2014.

«Evolving classifier ensembles using dynamic multi-objective swarm intelligence»

Jean-François Connolly, Éric Granger, Robert Sabourin”
Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (Barcelona, Spain, Feb. 15-18, 2013)p. 206-215.SciTePress. 2013.

«Comparison of adaptive appearance methods for tracking faces in video surveillance»

M. Ali Akber Dewan, Éric Granger, F. Roli, Robert Sabourin, G. L. Marcialis”
5th International Conference on Imaging for Crime Detection and Prevention, ICDP 2013 (London, UK, Dec. 16-17, 2013)Institution of Engineering and Technology. 2013.

«A dissimilarity-based approach for biometric fuzzy vaults – Application to handwritten signature images»

George S. Eskander, Robert Sabourin, Éric Granger.”
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. 2013.

«Dissimilarity representation for handwritten signature verification»

George S. Eskander, Robert Sabourin, Eric Granger.”
CEUR Workshop Proceedings (Washington D.C., USA, Aug. 22-23, 2013)p. 26-30.CEUR-WS. 2013.

«On the dissimilarity representation and prototype selection for signature-based bio-cryptographic systems»

George S. Eskander, Robert Sabourin, Éric Granger.”
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. 2013.

«Towards automated transactions based on the offline handwritten signatures»

George S. Eskander, Robert Sabourin, Eric Granger”
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. 2013.

«Securing mass biometric templates using blockwise multi-resolution clustering watermarking»

Bassem S.Rabil, Robert Sabourin, Eric Granger”
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. 2013.

«Adaptive ensemble selection for face re-identification under class imbalance»

Paulo Radtke, Robert Sabourin, Dmitry Gorodnichy”
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. 2013.

«On the correlation between genotype and classifier diversity»

Jean-François Connolly, Éric Granger, Robert Sabourin”
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.. 2012.

«Incremental update of biometric models in face-based video surveillance»

M. De-la-Torre, Éric Granger, P. V. W. Radtke, Robert Sabourin, D. O. Gorodnichy”
The 2012 International Joint Conference on Neural Networks (IJCNN) (Brisbane, Australia, June 10-15, 2012)Piscataway, NJ, USA : IEEE. 2012.

«A comparison of adaptive matchers for screening of faces in video surveillance»

M. De-la-Torre, P. V. W. Radtke, Éric Granger, Robert Sabourin, D. O. Gorodnichy”
2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications (CISDA) (Ottawa, ON, Canada, July 11-13, 2012)Piscataway, NJ, USA : IEEE. 2012.

«Adaptation of writer-independent systems for offline signature verification»

George S. Eskander, Robert Sabourin, Éric Granger”
2012 International Conference on Frontiers in Handwriting Recognition (ICFHR) (Bari, Italy, Sept.18-20, 2012)p. 434-439.Los Alamitos, CA : IEEE Computer Society. 2012.

«Why template self-update should work in biometric authentication systems?»

Gian Luca Marcialis, Luca Didaci, Alessandro Pisano, Éric Granger, Fabio Roli”
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. 2012.

«Detector ensembles for face recognition in video surveillance»

Christophe Pagano, Éric Granger, Robert Sabourin, Dmitry O. Gorodnichy”
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.. 2012.

«Adaptive selection of ensembles for imbalanced class distributions»

Paulo V. W. Radtke, Éric Granger, Robert Sabourin, Dmitry Gorodnichy”
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.. 2012.

«A dual-staged classification-selection approach for automated update of biometric templates»

Ajita Rattani, Gian Luca Marcialis, Éric Granger, Fabio Roli”
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.. 2012.

«Gaussian mixture modeling for dynamic particle swarm optimization of recurrent problems»

Eduardo Vellasques, Robert Sabourin, Éric Granger”
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. 2012.

«Dynamic ensemble selection for off-line signature verification»

Luana Batista, Éric Granger, Robert Sabourin”
10th International Workshop on Multiple Classifier Systems (MCS) (Naples, Italy, June 15-17, 2011) p. 157-166.Germany : Springer Verlag. 2011.

«Comparing dynamic PSO algorithms for adapting classifier ensembles in video-based face recognition»

Jean-François Connolly, Éric Granger, Robert Sabourin”
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. 2011.

«Signature based Fuzzy Vaults with boosted feature selection»

George S. Eskander, Robert Sabourin, Éric Granger”
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. 2011.

«Exploring the upper bound performance limit of iris biometrics using score calibration and fusion»

Dmitry O.Gorodnichy, Elan Dubrofsky, Richard Hoshino, Wael Khreich, Éric Granger, Robert Sabourin”
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. 2011.

«Incremental boolean combination of classifiers»

Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin”
10th International Workshop on Multiple Classifier Systems (MCS) (Naples, Italy, June 15-17, 2011) p. 340-349.Germany : Springer Verlag. 2011.

«Dénombrement de foule lors d’événements au quartier des spectacles de Montréal»

Samuel Nault, Thierry Blaise, Tasse Fotso, Richard Lepage, Éric Granger”
79e Congrès de l\’ACFAS (Sherbrooke, Canada, 9-13 mai 2011) 2011.

«Impact of watermarking on offline signature verification in intelligent bio-watermarking systems»

Bassem S. Rabil, Robert Sabourin, Éric Granger”
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. 2011.

«Watermarking stack of grayscale face images as dynamic multi-objective optimization problem»

Bassem S. Rabil, Robert Sabourin, Éric Granger”
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. 2011.

«A multi-classifier system for off-line signature verification based on dissimilarity representation»

Luana Batista, Éric Granger, Robert Sabourin”
9th International Workshop on Multiple Classifier Systems (MCS) (Cairo, Egypt, Apr. 7-9, 2010) p. 264-273.Berlin, Germany : Springer Verlag. 2010.

«Applying dissimilarity representation to off-line signature verification»

Luana Batista, Éric Granger, Robert Sabourin”
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. 2010.

«An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification»

Jean-François Connolly, Éric Granger, Robert Sabourin”
IEEE Congress on Evolutionary Computation (Barcelona, Spain, July 18-23, 2010)Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers. 2010.

«Evolving ARTMAP neural networks using multi-objective particle swarm optimization»

Éric Granger, D. Prieur, Jean-François Connolly”
IEEE World Congress on Evolutionary Computation (WCCI) (Barcelona, Spain, July 18-23, 2010)Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers. 2010.

«Boolean combination of classifiers in the ROC space»

Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin”
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. 2010.

«Intelligent watermarking with multi-objective population based incremental learning»

Bassem S. Rabil, Robert Sabourin, Éric Granger”
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. 2010.

«Intelligent watermarking of document images as a dynamic optimization problem»

EduardoVellasques, Robert Sabourin, Éric Granger”
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. 2010.

«A multi-hypothesis approach for off-line signature verification with HMMs»

Luana Batista, Éric Granger, Robert Sabourin”
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. 2009.

«Incremental adaptation of fuzzy ARTMAP neural networks for video-based face classification»

Jean-François Connolly, Éric Granger, Robert Sabourin”
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. 2009.

«A comparison of techniques for on-line incremental learning of HMM parameters in anomaly detection»

Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin”
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. 2009.

«Combining hidden Markov models for improved anomaly detection»

Wael Khreich, Éric Granger, Robert Sabourin, Ali Miri”
IEEE International Conference on Communications (ICC) (Dresden, Germany, June 14-18, 2009)Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers. 2009.

«Supervised incremental learning with the fuzzy ARTMAP neural network»

Jean-François Connolly, Éric Granger, Robert Sabourin”
Artificial Neural Networks in Pattern Recognition. Third IAPR Workshop (ANNPR) (Paris, France, Jul. 2-4, 2008) p. 66-77.Berlin, Germany : Springer Verlag. 2008.

«A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning»

Éric Granger, Jean-Francois Connolly, Robert Sabourin”
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. 2008.

«Novelty detection with probabilistic ARTMAP neural networks»

Eric Granger, Germain Lefrançois”
Smart Systems Engineering—Computational Intelligence in Architecting Engineering Systems (St-Louis, MO, USA, Nov. 9-12, 2008) The American Society of Mechanical Engineers. 2008.

«Comparison of ARTMAP neural networks for classification for face recognition from video»

M. Barry, Éric Granger”
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. .2007.

«Face recognition in video using a what-and-where fusion neural network»

M. Barry-Camerra, Éric Granger”
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. 2007.

«Incremental learning of stochastic grammars with graphical EM in radar electronic support»

Guillaume Latombe, Éric Granger, Fred A. Dilkes”
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. 2007.

«Particle swarm optimization of fuzzy ARTMAP parameters»

Éric Granger, P. Henniges, L.S. Oliveira, Robert Sabourin”
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. 2006.

«Impact of fuzzy ARTMAP match tracking strategies on the recognition of handwritten digits»

Philippe Henniges, Éric Granger, Robert Sabourin, Luiz S. Oliveira”
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. 2006.

«Fast incremental techniques for learning production rule probabilities in radar electronic support»

Guillaume Latombe, Éric Granger, Fred A. Dilkes”
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. 2006.

«Maximum likelihood and the graphical em algorithm»

Guillaume Latombe, Éric Granger, Fred A. Dilkes”
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. 2006.

«Feature selection techniques for classification of satellite images with fuzzy ARTMAP neural networks»

Dominique Rivard, Éric Granger, Robert Sabourin”
Intelligent Engineering Systems through Artificial Neural Networks (Saint-Louis, MO, USA, Nov. 5-8, 2006)p. 479-486.ASME. 2006.

«Factors of overtraining with fuzzy ARTMAP neural networks»

Philippe Henniges, Éric Granger, Robert Sabourin”
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. 2005.

«Radar ESM with a what-and-where fusion neural network»

Eric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie”
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. 2001.

«Analysis of quantization effects in a digital hardware implementation of a fuzzy ART neural network algorithm»

M. -A. Cantin, Y. Savaria, Y. Blaquière, E. Granger, P. Lavoie”
ISCAS 2000 Geneva : proceedings of the 2000 IEEE International Symposium on Circuits and Systems (Geneva, Switzerland, May 28-31, 2000)p. 141-144.IEEE. 2000.

«Classification of incomplete data using the fuzzy ARTMAP neural network»

E. Granger, M. A. Rubin, S. Grossberg, P. Lavoie”
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 2000p. 35-40.Los Alamitos, Calif : IEEE Computer Society. 2000.

«Four implementations of the fuzzy ART neural network for high data throughput applications»

M. -A. Cantin, E. Granger, Y. Savaria, Y. Blaquière, P. Lavoie”
Proceedings of the third International Conference on Cognitive and Neural Systems (ICCNS\’99) (Boston, MA, USA, May 26-29, 1999)p. 15. 1999.

«A comparison of classifiers for radar emitter type identification»

Eric Granger, Stephen Grossberg, Pierre Lavoie, Mark A. Rubin”
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. 1999.

«Familiarity discrimination of radar pulses»

Eric Granger, Stephen Grossberg, Mark A. Rubin, William W. Streilein”
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. 1999.

«Implementation of the fuzzy ART neural network for fast clustering of radar pulses»

M. -A. Cantin, Y. Blaquière, Y. Savaria, E. Granger, P. Lavoie”
Proceedings of the 1998 International Symposium on Circuits and Systems (ISCAS\’98) (Monterey, CA, USA, May 31-June 3, 1998)p. 458-461.IEEE. 1998.

«A VLSI architecture for fast clustering with the fuzzy ART neural networks»

E. Granger, Y. Blaquière, Y. Savaria, M.-A. Cantin, P. Lavoie”
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.1996.

«COMET-OCEP: A Software Process for Research and Development»

Fonseca, Jesús and De-la-Torre, Miguel and Cervantes, Salvador and Granger, Eric and Mejia, Jezreel”

łdots Conference on Software łdots 2021.

«Unsupervised Multi-Target Domain Adaptation through Knowledge Distillation»

Nguyen-Meidine, Le Thanh and Bela, Atif and Kiran, Madhu and Dolz, Jose and Blais-Morin, Louis Antoine and Granger, Eric”

arXiv 2020.

«Unsupervised domain adaptation in the dissimilarity space for person re-identification»

Mekhazni, Djebril and Bhuiyan, Amran and Ekladious, George and Granger, Eric”

arXiv 2020.

«Dual-triplet metric learning for unsupervised domain adaptation in video-based face recognition»

Ekladious, George and Lemoine, Hugo and Granger, Eric and Kamali, Kaveh and Moudache, Salim”

arXiv 2020.

«Pose guided gated fusion for person re-identification»

Bhuiyan, Amran and Liu, Yang and Siva, Parthipan and Javan, Mehrsan and Ayed, Ismail Ben and Granger, Eric”

Proceedings – 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020 2020.

«Deep domain adaptation for ordinal regression of pain intensity estimation using weakly-labelled videos»

Rajasekar, Gnana Praveen and Granger, Eric and Cardinal, Patrick”

arXiv 2020.

«Laplacian Regularized Few-Shot Learning»

Ziko, Imtiaz Masud and Dolz, Jose and Granger, Eric and Ayed, Ismail Ben”

arXiv 2020.

«Encoding Temporal Information for Automatic Depression Recognition from Facial Analysis»

De Melo, Wheidima Carneiro and Granger, Eric and Lopez, Miguel Bordallo”

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing – Proceedings 2020.

«Joint progressive knowledge distillation and unsupervised domain adaptation»

Meidine, Le Thanh Nguyen and Granger, Eric and Kiran, Madhu and Dolz, Jose and Morin, Louis Antoine Blais”

2020.

«Metric learning: Cross-entropy vs. pairwise losses»

Boudiaf, Malik and Rony, Jérôme and Ziko, Imtiaz Masud and Granger, Eric and Pedersoli, Marco and Piantanida, Pablo and Ayed, Ismail Ben”

arXiv 2020.

«Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision»

Kervadec, Hoel and Dolz, Jose and Wang, Shanshan and Granger, Eric and Ayed, Ismail Ben”

arXiv 2020.

«Joint progressive knowledge distillation and unsupervised domain adaptation»

Meidine, Le Thanh Nguyen and Granger, Eric and Kiran, Madhu and Dolz, Jose and Morin, Louis Antoine Blais”

arXiv 2020.

«A Paired Sparse Representation Model for Robust Face Recognition from a Single Sample»

Mokhayeri, Fania and Granger, Eric”

arXiv 2019.

«A Paired Sparse Representation Model for Robust Face Recognition from a Single Sample»

Mokhayeri, Fania and Granger, Eric”

arXiv 2019.

«A survey of pruning methods for efficient person re-identification across domains»

Masson, Hugo and Bhuiyan, Amran and Nguyen-Meidine, Le Thanh and Javan, Mehrsan and Siva, Parthipan and Ayed, Ismail Ben and Granger, Eric”

arXiv 2019.

«Clustering with fairness constraints: A flexible and scalable approach»

Ziko, Imtiaz Masud and Granger, Eric and Yuan, Jing and Ayed, Ismail Ben”

arXiv 2019.

«Curriculum semi-supervised segmentation»

Kervadec, H and Dolz, J and Granger, É and Ayed, I B”

International Conference on łdots 2019.

«Convolutional STN for weakly supervised object localization and beyond»

Meethal, Akhil and Pedersoli, Marco and Belharbi, Soufiane and Granger, Eric”

arXiv 2019.

«Min-max entropy for weakly supervised pointwise localization»

Belharbi, Soufiane and Rony, Jérôme and Dolz, Jose and Ben Ayed, Ismail and McCaffrey, Luke and Granger, Eric”

2019.

«On the interaction between deep detectors and siamese trackers in video surveillance»

Kiran, Madhu and Tiwari, Vivek and Nguyen-Meidine, Le Thanh and Morin, Louis Antoine Blais and Granger, Eric”

arXiv 2019.

«Non-parametric Uni-modality Constraints for Deep Ordinal Classification»

Belharbi, Soufiane and Ayed, Ismail Ben and McCaffrey, Luke and Granger, Eric”

arXiv 2019.

«Deep ordinal classification with inequality constraints»

Belharbi, Soufiane and Ayed, Ismail Ben and McCaffrey, Luke and Granger, Eric”

arXiv 2019.

«Audio-visual kinship verification»

Wu, Xiaoting and Granger, Eric and Feng, Xiaoyi”

arXiv 2019.

«Deep weakly-supervised learning methods for classification and localization in histology images: A survey»

Rony, Jérôme and Belharbi, Soufiane and Dolz, Jose and Ayed, Ismail Ben and McCaffrey, Luke and Granger, Eric”

arXiv 2019.

«Combining global and local convolutional 3D networks for detecting depression from facial expressions»

De Melo, Wheidima Carneiro and Granger, Eric and Hadid, Abdenour”

Proceedings – 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019 2019.

«Emotion Recognition with Spatial Attention and Temporal Softmax Pooling»

Aminbeidokhti, Masih and Pedersoli, Marco and Cardinal, Patrick and Granger, Eric”

arXiv 2019.

«Pedestrian Detection Based on Deep Learning»

Jeon, Hyung Min and Nguyen, Vinh Dinh and Jeon, Jae Wook”

IECON Proceedings (Industrial Electronics Conference) 2019.

«Deep weakly-supervised domain adaptation for pain localization in videos»

Gnana, Praveen R. and Granger, Eric and Cardinal, Patrick”

arXiv 2019.

«Multimodal fusion with deep neural networks for audio-video emotion recognition»

Ortega, Juan D.S. and Senoussaoui, Mohammed and Granger, Eric and Pedersoli, Marco and Cardinal, Patrick and Koerich, Alessandro L.”

arXiv 2019.

«Robust video face recognition from a single still using a synthetic plus variational model»

Mokhayeri, Fania and Granger, Eric”

Proceedings – 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019 2019.

«Min-max entropy for weakly supervised pointwise localization»

Belharbi, Soufiane and Rony, Jérôme and Dolz, Jose and Ben Ayed, Ismail and McCaffrey, Luke and Granger, Eric”

arXiv 2019.

«Clustering with fairness constraints: A flexible and scalable approach»

Ziko, Imtiaz Masud and Granger, Eric and Yuan, Jing and Ayed, Ismail Ben”

2019.

«Cross-domain face synthesis using a controllable GAN»

Mokhayeri, Fania and Kamali, Kaveh and Granger, Eric”

arXiv 2019.

«Contextual weighting of patches for local matching in still-to-video face recognition»

Amara, Ibtihel and Granger, Eric and Hadid, Abdenour”

Proceedings – 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018 2018.

«Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks»

Dolz, Jose and Xu, Xiaopan and Rony, Jérôme and Yuan, Jing and Liu, Yang and Granger, Eric and Desrosiers, Christian and Ayed, Ismail Ben and Lu, Hongbing”

arXiv 2018.

«A comparison of CNN-based face and head detectors for real-time video surveillance applications»

Nguyen-Meidine, Le Thanh and Granger, Eric and Kiran, Madhu and Blais-Morin, Louis Antoine”

arXiv 2018.

«Scalable laplacian k-modes»

Ziko, Imtiaz Masud and Granger, Eric and Ayed, Ismail Ben”

arXiv 2018.

«Boundary loss for highly unbalanced segmentation»

Kervadec, Hoel and Bouchtiba, Jihene and Desrosiers, Christian and Granger, Eric and Dolz, Jose and Ayed, Ismail Ben”

arXiv 2018.

«Constrained-CNN Losses for Weakly Supervised Segmentation»

Kervadec, Hoel and Dolz, Jose and Tang, Meng and Granger, Eric and Boykov, Yuri and Ayed, Ismail Ben”

arXiv 2018.

«Domain-specific face synthesis for video face recognition from a single sample per person»

Mokhayeri, Fania and Granger, Eric and Bilodeau, Guillaume Alexandre”

arXiv 2018.

«Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks»

Dolz, Jose and Xu, Xiaopan and Rony, Jérôme and Yuan, Jing and Liu, Yang and Granger, Eric and Desrosiers, Christian and Ayed, Ismail Ben and Lu, Hongbing”

arXiv 2018.

«A Cross-Modal Distillation Network for Person Re-identification in RGB-Depth»

Hafner, Frank and Bhuiyan, Amran and Kooij, Julian F.P. and Granger, Eric”

arXiv 2018.

«Deep learning architectures for face recognition in video surveillance»

Bashbaghi, Saman and Granger, Eric and Sabourin, Robert and Parchami, Mostafa”

arXiv 2018.

«Domain-specific face synthesis for video face recognition from a single sample per person»

Mokhayeri, Fania and Granger, Eric and Bilodeau, Guillaume Alexandre”

arXiv 2018.

«Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses»

Rony, Jérôme and Hafemann, Luiz G. and Oliveira, Luiz S. and Ayed, Ismail Ben and Sabourin, Robert and Granger, Eric”

arXiv 2018.

«Tracking using Numerous Anchor Points»

Chakravorty, Tanushri and Bilodeau, Guillaume Alexandre and Granger, Éric”

arXiv 2017.

«CNNs with cross-correlation matching for face recognition in video surveillance using a single training sample per person»

Parchami, Mostafa and Bashbaghi, Saman and Granger, Eric”

2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017 2017.

«Bag-level aggregation for multiple instance active learning in instance classification problems»

Carbonneau, Marc André and Granger, Eric and Gagnon, Ghyslain”

arXiv 2017.

«Modeling information flow through deep neural networks»

Chaddad, Ahmad and Pedersoli, Marco and Granger, Eric and Desrossiers, Christian and Toews, Matthew”

arXiv 2017.

«Dynamic selection of exemplar-svms forwatch-list screening through domain adaptation»

Bashbaghi, Saman and Granger, Eric and Sabourin, Robert and Bilodeau, Guillaume Alexandre”

ICPRAM 2017 – Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods 2017.

«Using deep autoencoders to learn robust domain-invariant representations for still-to-video face recognition»

Parchami, Mostafa and Bashbaghi, Saman and Granger, Eric and Sayed, Saif”

2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017 2017.

«Robust Face Tracking using Multiple Appearance Models and Graph Relational Learning»

Chakravorty, Tanushri and Bilodeau, Guillaume Alexandre and Granger, Eric”

arXiv 2017.

«Video-based face recognition using ensemble of haar-like deep convolutional neural networks»

Parchami, Mostafa and Bashbaghi, Saman and Granger, Eric”

Proceedings of the International Joint Conference on Neural Networks 2017.

«Progressive boosting for class imbalance»

Soleymani, Roghayeh and Granger, Eric and Fumera, Giorgio”

arXiv 2017.

«Score thresholding for accurate instance classification in multiple instance learning»

Carbonneau, Marc André and Granger, Eric and Gagnon, Ghyslain”

2016 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016 2017.

«Recognizing people and their activities in surveillance video: Technology state of readiness and roadmap»

Gorodnichy, Dmitry O. and Bissessar, David and Granger, Eric and Laganiére, Robert”

Proceedings – 2016 13th Conference on Computer and Robot Vision, CRV 2016 2016.

«Loss factors for learning Boosting ensembles from imbalanced data»

Soleymani, Roghayeh and Granger, Eric and Fumera, Giorgio”

Proceedings – International Conference on Pattern Recognition 2016.

«Witness identification in multiple instance learning using random subspaces»

Carbonneau, Marc Andre and Granger, Eric and Gagnon, Ghyslain”

Proceedings – International Conference on Pattern Recognition 2016.

«Super-resolution pipeline for fast adjudication in watchlist screening»

Tayanov, Vitaliy and Granger, Eric and Bordallo, Miguel and Hadid, Abdenour”

5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015 2015.

«Synthetic face generation under various operational conditions in video surveillance»

Mokhayeri, Fania and Granger, Eric and Bilodeau, Guillaume Alexandre”

Proceedings – International Conference on Image Processing, ICIP 2015.

«Contextual object tracker with structure encoding»

Chakravorty, Tanushri and Bilodeau, Guillaume Alexandre and Granger, Eric”

Proceedings – International Conference on Image Processing, ICIP 2015.

«Adaptive classification for person re-identification driven by change detection»

Pagano, C. and Granger, E. and Sabourin, R. and Marcialis, G. L. and Roli, F.”

ICPRAM 2015 – 4th International Conference on Pattern Recognition Applications and Methods, Proceedings 2015.

«Adaptive skew-sensitive fusion of ensembles and their application to face re-identification»

De-La-Torre, Miguel and Granger, Eric and Sabourin, Robert”

Proceedings of the International Joint Conference on Neural Networks 2015.

«Ensembles of exemplar-SVMs for video face recognition from a single sample per person»

Bashbaghi, Saman and Granger, Eric and Sabourin, Robert and Bilodeau, Guillaume Alexandre”

AVSS 2015 – 12th IEEE International Conference on Advanced Video and Signal Based Surveillance 2015.

«Self-updating with facial trajectories for video-to-video face recognition»

De-La-Torre, Miguel and Granger, Eric and Radtke, Paulo and Sabourin, Robert and Gorodnichy, Dmitry O.”

Proceedings – International Conference on Pattern Recognition 2014.

«Watch-list screening using ensembles based on multiple face representations»

Bashbaghi, Saman and Granger, Eric and Sabourin, Robert and Bilodeau, Guillaume Alexandre”

Proceedings – International Conference on Pattern Recognition 2014.

«Improving Signature-Based Biometric Cryptosystems Using Cascaded Signature Verification-Fuzzy Vault (SV-FV) Approach»

Eskander, George S. and Sabourin, Robert and Granger, Eric”

Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR 2014.

«Evolving classifier ensembles using dynamic multi-objective swarm intelligence»

Connolly, Jean François and Granger, Eric and Sabourin, Robert”

ICPRAM 2013 – Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods 2013.

«Why template self-update should work in biometric authentication systems?»

Marcialis, Gian Luca and Didaci, Luca and Pisano, Alessandro and Granger, Eric and Roli, Fabio”

2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012 2012.

«Detector ensembles for face recognition in video surveillance»

Pagano, Christophe and Granger, Eric and Sabourin, Robert and Gorodnichy, Dmitry O.”

Proceedings of the International Joint Conference on Neural Networks 2012.

«Gaussian mixture modeling for dynamic particle swarm optimization of recurrent problems»

Vellasques, Eduardo and Sabourin, Robert and Granger, Eric”

GECCO’12 – Proceedings of the 14th International Conference on Genetic and Evolutionary Computation 2012.

«On the correlation between genotype and classifier diversity»

Connolly, Jean Francois and Granger, Eric and Sabourin, Robert”

Proceedings – International Conference on Pattern Recognition 2012.

«Adaptive selection of ensembles for imbalanced class distributions»

Radtke, Paulo V.W. and Granger, Eric and Sabourin, Robert and Gorodnichy, Dmitry”

Proceedings – International Conference on Pattern Recognition 2012.

«A dual-staged classification-selection approach for automated update of biometric templates»

Rattani, Ajita and Marcialis, Gian Luca and Granger, Eric and Roli, Fabio”

Proceedings – International Conference on Pattern Recognition 2012.

«Incremental update of biometric models in face-based video surveillance»

De-La-Torre, Miguel and Granger, Eric and Radtke, Paulo V.W. and Sabourin, Robert and Gorodnichy, Dmitry O.”

Proceedings of the International Joint Conference on Neural Networks 2012.

«Watermarking stack of grayscale face images as dynamic multi-objective optimization problem»

Rabil, Bassem S. and Sabourin, Robert and Granger, Eric”

Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry – 6th International Conference, MDA 2011, Proceedings 2011.

«Intelligent watermarking of document images as a dynamic optimization problem»

Vellasques, Eduardo and Sabourin, Robert and Granger, Eric”

Proceedings – 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010 2010.

«Applying dissimilarity representation to off-line signature verification»

Batista, Luana and Granger, Eric and Sabourin, Robert”

Proceedings – International Conference on Pattern Recognition 2010.

«Boolean combination of classifiers in the ROC space»

Khreich, Wael and Granger, Eric and Miri, Ali and Sabourin, Robert”

Proceedings – International Conference on Pattern Recognition 2010.

«Intelligent watermarking with multi-objective Population Based Incremental Learning»

Rabil, Bassem S. and Sabourin, Robert and Granger, Eric”

Proceedings – 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010 2010.

«Combining Hidden Markov Models for improved anomaly detection»

Khreich, Wael and Granger, Eric and Sabourin, Robert and Miri, Ali”

IEEE International Conference on Communications 2009.

«A multi-hypothesis approach for off-line signature verification with HMMs»

Batista, Luana and Granger, Eric and Sabourin, Robert”

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR 2009.

«A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning»

Granger, Eric and Connolly, Jean François and Sabourin, Robert”

Proceedings of the International Joint Conference on Neural Networks 2008.

«Incremental learning of stochastic grammars with graphical em in radar electronic support»

Latombe, Guillaume and Granger, Eric and Dilkes, Fred A.”

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing – Proceedings 2007.

«Face recognition in video using a What-and-Where fusion neural network»

Barry, M. and Granger, E.”

IEEE International Conference on Neural Networks – Conference Proceedings 2007.

«Maximum likelihood and the graphical EM algorithm»

Latombe, Guillaume and Granger, Eric and Dilkes, Fred A.”

Canadian Conference on Electrical and Computer Engineering 2006.

«Particle swarm optimization of fuzzy ARTMAP parameters»

Granger, Eric and Henniges, Philippe and Oliveira, Luiz S. and Sabourin, Robert”

IEEE International Conference on Neural Networks – Conference Proceedings 2006.

«Fast incremental techniques for learning production rule probabilities in radar electronic support»

Latombe, Guillaume and Granger, Eric and Dilkes, Fred A.”

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing – Proceedings 2006.

«Factors of overtraining with fuzzy ARTMAP neural networks»

Henniges, Philippe and Granger, Eric and Sabourin, Robert”

Proceedings of the International Joint Conference on Neural Networks 2005.

«Classification of incomplete data using the fuzzy ARTMAP neural network»

Granger, Eric and Rubin, Mark A. and Grossberg, Stephen and Lavoie, Pierre”

Proceedings of the International Joint Conference on Neural Networks 2000.