Eric Granger
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
112
Venues
24
Active years
2000–2026
Best venue rank
A*
Where they publish
- AWACV26 papers
- BIJCNN13 papers
- BICPR12 papers
- A*CVPR9 papers
- A*ECCV9 papers
- MulticonferenceICASSP5 papers
- BAVSS5 papers
- CICPRAM5 papers
- A*AAAI4 papers
- BICIP4 papers
- A*ICCV3 papers
- CISCAS2 papers
- BICFHR2 papers
- AICDAR2 papers
- BCEC2 papers
- A*ICLR1 paper
- CIGARSS1 paper
- ABMVC1 paper
- A*ICML1 paper
- NationalICIG1 paper
- BACCV1 paper
- NationalISVC1 paper
- NationalICIAP1 paper
- AGECCO1 paper
Papers
112 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI. | Mahdi Alehdaghi, Rajarshi Bhattacharya, Pourya Shamsolmoali, Rafael M. O. Cruz, Eric Granger |
| 2026 | AAAI | DogFit: Domain-guided Fine-tuning for Efficient Transfer Learning of Diffusion Models. | Yara Bahram, Mohammadhadi Shateri, Eric Granger |
| 2026 | WACV | MixER: From Cross-Modal to Mixed-Modal Visible-Infrared Re-Identification. | Mahdi Alehdaghi, Rajarshi Bhattacharya, Pourya Shamsolmoali, Rafael M. O. Cruz, Eric Granger |
| 2026 | WACV | High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization. | Masih Aminbeidokhti, Heitor Rapela Medeiros, Srikanth Muralidharan, Eric Granger, Marco Pedersoli |
| 2026 | WACV | CLIP-IT: CLIP-based Pairing of Histology Images with Privileged Textual Information. | Banafsheh Karimian, Giulia Avanzato, Soufiane Belharbi, Alexis Guichemerre, Luke McCaffrey, Mohammadhadi Shateri, Eric Granger |
| 2026 | WACV | WiSE-OD: Benchmarking Robustness in Infrared Object Detection. | Heitor Rapela Medeiros, Atif Belal, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli |
| 2026 | WACV | Pretraining Helps When Capacity Allows: Evidence from Ultra-Small ConvNets. | Srikanth Muralidharan, Heitor Rapela Medeiros, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli |
| 2026 | WACV | Low-Rank Expert Merging for Multi-Source Domain Adaptation in Person Re-Identification. | Taha Mustapha Nehdi, Nairouz Mrabah, Atif Belal, Marco Pedersoli, Eric Granger |
| 2026 | WACV | MuSACo: Multimodal Subject-Specific Selection and Adaptation for Expression Recognition with Co-Training. | Muhammad Osama Zeeshan, Natacha Gillet, Alessandro Lameiras Koerich, Marco Pedersoli, Franois Brmond, Eric Granger |
| 2025 | CVPR | ExaM: Unsupervised Concept-Based Representation Learning to Better Explain Models in Vision Tasks. | Maguelonne Heritier, Djebril Mekhazni, Cdric Leblond-Mnard, Benoit Godbout, Nathan Guilbaud, Mahdi Alehdaghi, Eric Granger |
| 2025 | CVPR | Advancements in Affective and Behavior Analysis: The 8th ABAW Workshop and Competition. | Dimitrios Kollias, Panagiotis Tzirakis, Alan Cowen, Stefanos Zafeiriou, Irene Kotsia, Eric Granger, Marco Pedersoli, Simon Bacon, Alice Baird, Chris Gagne, Chunchang Shao, Guanyu Hu, Soufiane Belharbi, Muhammad Haseeb Aslam |
| 2025 | ICCV | Visual Modality Prompt for Adapting Vision-Language Object Detectors. | Heitor Rapela Medeiros, Atif Belal, Srikanth Muralidharan, Eric Granger, Marco Pedersoli |
| 2025 | ICCV | Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation. | Nairouz Mrabah, Nicolas Richet, Ismail Ben Ayed, Eric Granger |
| 2025 | ICLR | TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning. | Tsiry Mayet, Pourya Shamsolmoali, Simon Bernard, Eric Granger, Romain Hrault, Clment Chatelain |
| 2025 | WACV | Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification. | Mahdi Alehdaghi, Pourya Shamsolmoali, Rafael M. O. Cruz, Eric Granger |
| 2025 | WACV | Attention-Based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors. | Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger |
| 2025 | WACV | Mixed Patch Visible-Infrared Modality Agnostic Object Detection. | Heitor Rapela Medeiros, David Latortue, Eric Granger, Marco Pedersoli |
| 2025 | WACV | A Realistic Protocol for Evaluation of Weakly Supervised Object Localization. | Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Eric Granger |
| 2024 | AAAI | SeTformer Is What You Need for Vision and Language. | Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg |
| 2024 | CVPR | Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology. | Alexis Guichemerre, Soufiane Belharbi, Tsiry Mayet, Shakeeb Murtaza, Pourya Shamsolmoali, Luke McCaffrey, Eric Granger |
| 2024 | CVPR | Joint Multimodal Transformer for Emotion Recognition in the Wild. | Paul Waligora, Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger |
| 2024 | ECCV | Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge. | Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel Alejandro Guerrero Pea, David Latortue, Eric Granger, Marco Pedersoli |
| 2024 | ECCV | Textualized and Feature-Based Models for Compound Multimodal Emotion Recognition in the Wild. | Nicolas Richet, Soufiane Belharbi, Haseeb Aslam, Meike Emilie Schadt, Manuela Gonzlez-Gonzlez, Gustave Cortal, Alessandro Lameiras Koerich, Marco Pedersoli, Alain Finkel, Simon Bacon, Eric Granger |
| 2024 | ECCV | Source-Free Domain Adaptation for YOLO Object Detection. | Simon Varailhon, Masih Aminbeidokhti, Marco Pedersoli, Eric Granger |
| 2024 | WACV | Domain Generalization by Rejecting Extreme Augmentations. | Masih Aminbeidokhti, Fidel A. Guerrero-Pea, Heitor Rapela Medeiros, Thomas Dubail, Eric Granger, Marco Pedersoli |
| 2024 | WACV | Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean Teacher. | Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger |
| 2024 | WACV | Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting. | David Latortue, Moetez Kdayem, Fidel A. Guerrero-Pea, Eric Granger, Marco Pedersoli |
| 2024 | WACV | HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information. | Heitor Rapela Medeiros, Fidel A. Guerrero-Pea, Masih Aminbeidokhti, Thomas Dubail, Eric Granger, Marco Pedersoli |
| 2023 | CVPR | Privileged Knowledge Distillation for Dimensional Emotion Recognition in the Wild. | Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Eric Granger |
| 2023 | CVPR | Re-basin via implicit Sinkhorn differentiation. | Fidel A. Guerrero-Pea, Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli |
| 2023 | CVPR | Cascaded Zoom-in Detector for High Resolution Aerial Images. | Akhil Meethal, Eric Granger, Marco Pedersoli |
| 2023 | ICASSP | Recursive Joint Attention for Audio-Visual Fusion in Regression Based Emotion Recognition. | R. Gnana Praveen, Eric Granger, Patrick Cardinal |
| 2023 | ICASSP | Image Completion Via Dual-Path Cooperative Filtering. | Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger |
| 2023 | WACV | TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos. | Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger |
| 2023 | WACV | Multimodal Data Augmentation for Visual-Infrared Person ReID with Corrupted Data. | Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger |
| 2023 | WACV | Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID. | Djebril Mekhazni, Maximilien Dufau, Christian Desrosiers, Marco Pedersoli, Eric Granger |
| 2023 | WACV | Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization. | Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger |
| 2023 | WACV | TransVLAD: Multi-Scale Attention-Based Global Descriptors for Visual Geo-Localization. | Yifan Xu, Pourya Shamsolmoali, Eric Granger, Claire Nicodeme, Laurent Gardes, Jie Yang |
| 2022 | CVPR | A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition. | R. Gnana Praveen, Wheidima Carneiro de Melo, Nasib Ullah, Haseeb Aslam, Osama Zeeshan, Tho Denorme, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Patrick Cardinal, Eric Granger |
| 2022 | ECCV | Visible-Infrared Person Re-Identification Using Privileged Intermediate Information. | Mahdi Alehdaghi, Arthur Josi, Rafael M. O. Cruz, Eric Granger |
| 2022 | ECCV | Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras. | Thomas Dubail, Fidel Alejandro Guerrero Pea, Heitor Rapela Medeiros, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli |
| 2022 | ECCV | The Tenth Visual Object Tracking VOT2022 Challenge Results. | Matej Kristan, Ales Leonardis, Jir Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kmrinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Bjrklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernndez, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Sai S. Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Jremo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang |
| 2022 | ICIP | Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-Identification. | Flix Remigereau, Djebril Mekhazni, Sajjad Abdoli, Le Thanh Nguyen-Meidine, Rafael M. O. Cruz, Eric Granger |
| 2022 | IGARSS | Enhanced Single-Shot Detector for Small Object Detection in Remote Sensing Images. | Pourya Shamsolmoali, Masoumeh Zareapoor, Jie Yang, Eric Granger, Jocelyn Chanussot |
| 2022 | ICPR | Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network. | Pourya Shamsolmoali, Masoumeh Zareapoor, Jie Yang, Eric Granger, Huiyu Zhou |
| 2022 | IJCNN | Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking. | Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E. Cruz, Louis-Antoine Blais-Morin, Eric Granger |
| 2022 | IJCNN | Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes. | Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger |
| 2022 | WACV | F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling. | Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger |
| 2021 | AAAI | Variational Fair Clustering. | Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed |
| 2021 | BMVC | Holistic Guidance for Occluded Person Re-Identification. | Madhu Kiran, Gnana Praveen Rajasekhar, Le Thanh Nguyen-Meidine, Soufiane Belharbi, Louis-Antoine Blais-Morin, Eric Granger |
| 2021 | ICCV | Augmented Lagrangian Adversarial Attacks. | Jrme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed |
| 2021 | WACV | Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition. | Tho Ayral, Marco Pedersoli, Simon Bacon, Eric Granger |
| 2021 | WACV | Deep Active Learning for Joint Classification & Segmentation with Weak Annotator. | Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger |
| 2021 | WACV | Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation. | Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger |
| 2020 | ECCV | A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses. | Malik Boudiaf, Jrme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed |
| 2020 | ECCV | Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification. | Djebril Mekhazni, Amran Bhuiyan, George S. Eskander Ekladious, Eric Granger |
| 2020 | ICASSP | Encoding Temporal Information For Automatic Depression Recognition From Facial Analysis. | Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo Lpez |
| 2020 | ICML | Laplacian Regularized Few-Shot Learning. | Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed |
| 2020 | ICPR | Convolutional STN for Weakly Supervised Object Localization. | Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger |
| 2020 | ICPR | Progressive Gradient Pruning for Classification, Detection and Domain Adaptation. | Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Marco Pedersoli, Louis-Antoine Blais-Morin |
| 2020 | IJCNN | Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video Face Recognition. | George S. Eskander Ekladious, Hugo Lemoine, Eric Granger, Kaveh Kamali, Salim Moudache |
| 2020 | IJCNN | Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation. | Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin |
| 2020 | WACV | Pose Guided Gated Fusion for Person Re-identification. | Amran Bhuiyan, Yang Liu, Parthipan Siva, Mehrsan Javan, Ismail Ben Ayed, Eric Granger |
| 2020 | WACV | Cross-Domain Face Synthesis using a Controllable GAN. | Fania Mokhayeri, Kaveh Kamali, Eric Granger |
| 2019 | AVSS | RGB-Depth Cross-Modal Person Re-identification. | Frank M. Hafner, Amran Bhuiyan, Julian F. P. Kooij, Eric Granger |
| 2019 | AVSS | 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 |
| 2019 | CVPR | Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses. | Jrme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger |
| 2019 | ICIP | Depression Detection Based on Deep Distribution Learning. | Wheidima Carneiro de Melo, Eric Granger, Abdenour Hadid |
| 2017 | AVSS | CNNs with cross-correlation matching for face recognition in video surveillance using a single training sample per person. | Mostafa Parchami, Saman Bashbaghi, Eric Granger |
| 2017 | AVSS | Using deep autoencoders to learn robust domain-invariant representations for still-to-video face recognition. | Mostafa Parchami, Saman Bashbaghi, Eric Granger, Saif Iftekar Sayed |
| 2017 | ICIG | Multi-orientation Scene Text Detection Leveraging Background Suppression. | Xihan Wang, Xiaoyi Feng, Zhaoqiang Xia, Jinye Peng, Eric Granger |
| 2017 | ICPRAM | Dynamic Selection of Exemplar-SVMs for Watch-list Screening through Domain Adaptation. | Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau |
| 2017 | IJCNN | Video-based face recognition using ensemble of haar-like deep convolutional neural networks. | Mostafa Parchami, Saman Bashbaghi, Eric Granger |
| 2016 | ACCV | An Extended Sparse Classification Framework for Domain Adaptation in Video Surveillance. | Farshad Nourbakhsh, Eric Granger, Giorgio Fumera |
| 2016 | ICPR | Witness identification in multiple instance learning using random subspaces. | Marc-Andre Carbonneau, Eric Granger, Ghyslain Gagnon |
| 2016 | ICPR | Loss factors for learning Boosting ensembles from imbalanced data. | Roghayeh Soleymani, Eric Granger, Giorgio Fumera |
| 2016 | ICPRAM | Learning of Graph Compressed Dictionaries for Sparse Representation Classification. | Farshad Nourbakhsh, Eric Granger |
| 2016 | ICPRAM | Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification. | Roghayeh Soleymani, Eric Granger, Giorgio Fumera |
| 2015 | AVSS | Ensembles of exemplar-SVMs for video face recognition from a single sample per person. | Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau |
| 2015 | ICIP | Contextual object tracker with structure encoding. | Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Eric Granger |
| 2015 | ICIP | Synthetic face generation under various operational conditions in video surveillance. | Fania Mokhayeri, Eric Granger, Guillaume-Alexandre Bilodeau |
| 2015 | IJCNN | Adaptive skew-sensitive fusion of ensembles and their application to face re-identification. | Miguel De-la-Torre, Eric Granger, Robert Sabourin |
| 2015 | ICPRAM | Adaptive Classification for Person Re-identification Driven by Change Detection. | Christophe Pagano, Eric Granger, Robert Sabourin, Gian Luca Marcialis, Fabio Roli |
| 2015 | ISCAS | Real-time visual play-break detection in sport events using a context descriptor. | Marc-Andre Carbonneau, Alexandre J. Raymond, Eric Granger, Ghyslain Gagnon |
| 2015 | ISVC | Spatio-Temporal Fusion for Learning of Regions of Interests Over Multiple Video Streams. | Samaneh Khoshrou, Jaime S. Cardoso, Eric Granger, Lus Filipe Teixeira |
| 2014 | ECCV | On the Effects of Illumination Normalization with LBP-Based Watchlist Screening. | Ibtihel Amara, Eric Granger, Abdenour Hadid |
| 2014 | ICFHR | Improving Signature-Based Biometric Cryptosystems Using Cascaded Signature Verification-Fuzzy Vault (SV-FV) Approach. | George S. Eskander, Robert Sabourin, Eric Granger |
| 2014 | ICPR | Watch-List Screening Using Ensembles Based on Multiple Face Representations. | Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau |
| 2014 | ICPR | Self-Updating with Facial Trajectories for Video-to-Video Face Recognition. | Miguel De-la-Torre, Eric Granger, Paulo Vinicius Wolski Radtke, Robert Sabourin, Dmitry O. Gorodnichy |
| 2013 | ICDAR | Dissimilarity Representation for Handwritten Signature Verification. | George S. Eskander, Robert Sabourin, Eric Granger |
| 2013 | ICIAP | A Dissimilarity-Based Approach for Biometric Fuzzy Vaults-Application to Handwritten Signature Images. | George S. Eskander, Robert Sabourin, Eric Granger |
| 2013 | ICPRAM | Evolving Classifier Ensembles using Dynamic Multi-objective Swarm Intelligence. | Jean-Franois Connolly, Eric Granger, Robert Sabourin |
| 2012 | GECCO | Gaussian mixture modeling for dynamic particle swarm optimization of recurrent problems. | Eduardo Vellasques, Robert Sabourin, Eric Granger |
| 2012 | ICFHR | Adaptation of Writer-Independent Systems for Offline Signature Verification. | George S. Eskander, Robert Sabourin, Eric Granger |
| 2012 | ICPR | On the correlation between genotype and classifier diversity. | Jean-Franois Connolly, Eric Granger, Robert Sabourin |
| 2012 | ICPR | Adaptive selection of ensembles for imbalanced class distributions. | Paulo Vinicius Wolski Radtke, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy |
| 2012 | ICPR | A dual-staged classification-selection approach for automated update of biometric templates. | Ajita Rattani, Gian Luca Marcialis, Eric Granger, Fabio Roli |
| 2012 | IJCNN | Incremental update of biometric models in face-based video surveillance. | Miguel De-la-Torre, Eric Granger, Paulo Vinicius Wolski Radtke, Robert Sabourin, Dmitry O. Gorodnichy |
| 2012 | IJCNN | Detector ensembles for face recognition in video surveillance. | Christophe Pagano, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy |
| 2010 | CEC | An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification. | Jean-Franois Connolly, Eric Granger, Robert Sabourin |
| 2010 | CEC | Evolving ARTMAP neural networks using Multi-Objective Particle Swarm Optimization. | Eric Granger, Donavan Prieur, Jean-Franois Connolly |
| 2010 | ICPR | Applying Dissimilarity Representation to Off-Line Signature Verification. | Luana Batista, Eric Granger, Robert Sabourin |
| 2010 | ICPR | Boolean Combination of Classifiers in the ROC Space. | Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin |
| 2009 | ICDAR | A Multi-Hypothesis Approach for Off-Line Signature Verification with HMMs. | Luana Batista, Eric Granger, Robert Sabourin |
| 2008 | IJCNN | A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning. | Eric Granger, Jean-Franois Connolly, Robert Sabourin |
| 2007 | ICASSP | Incremental Learning of Stochastic Grammars with Graphical EM in Radar Electronic Support. | Guillaume Latombe, Eric Granger, Fred A. Dilkes |
| 2007 | IJCNN | Face Recognition in Video Using a What-and-Where Fusion Neural Network. | Mamoudou Barry, Eric Granger |
| 2006 | ICASSP | Fast Incremental Techniques for Learning Production Rule Probabilities in Radar Electronic Support. | Guillaume Latombe, Eric Granger, Fred A. Dilkes |
| 2006 | IJCNN | Particle Swarm Optimization of Fuzzy ARTMAP Parameters. | Eric Granger, Philippe Henniges, Luiz S. Oliveira, Robert Sabourin |
| 2005 | IJCNN | Factors of overtraining with fuzzy ARTMAP neural networks. | Philippe Henniges, Eric Granger, Robert Sabourin |
| 2000 | IJCNN | Classification of Incomplete Data Using the Fuzzy ARTMAP Neural Network. | Eric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie |
| 2000 | ISCAS | Analysis of quantization effects in a digital hardware implementation of a fuzzy ART neural network algorithm. | Marc-Andr Cantin, Yves Blaquire, Yvon Savaria, Pierre Lavoie, Eric Granger |