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ORCIDEric Granger
Éric Granger
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- affiliation: ETS Montreal, Canada
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2020 – today
- 2024
[j61]Wheidima Carneiro de Melo
, Eric Granger, Miguel Bordallo López:
Facial expression analysis using Decomposed Multiscale Spatiotemporal Networks. Expert Syst. Appl. 236: 121276 (2024)- [j60]Mounîm A. El-Yacoubi, Umapada Pal, Eric Granger, Pong Chi Yuen:
Special section: Best papers of the international conference on pattern recognition and artificial intelligence (ICPRAI) 2022. Pattern Recognit. Lett. 177: 150 (2024) - [c146]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg:
SeTformer Is What You Need for Vision and Language. AAAI 2024: 4713-4721 - [c145]Shakeeb Murtaza, Marco Pedersoli, Aydin Sarraf, Eric Granger:
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos. ANNPR 2024: 195-207 - [c144]Alexis Guichemerre, Soufiane Belharbi, Tsiry Mayet, Shakeeb Murtaza, Pourya Shamsolmoali, Luke McCaffrey, Eric Granger:
Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology. CVPR Workshops 2024: 33-43 - [c143]Paul Waligora, Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger:
Joint Multimodal Transformer for Emotion Recognition in the Wild. CVPR Workshops 2024: 4625-4635 - [c142]Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel Alejandro Guerrero Peña, David Latortue, Eric Granger, Marco Pedersoli:
Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge. ECCV (89) 2024: 51-68 - [c141]Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger:
Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport. FG 2024: 1-10 - [c140]Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger:
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues. FG 2024: 1-10 - [c139]Muhammad Osama Zeeshan, Muhammad Haseeb Aslam, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger:
Subject-Based Domain Adaptation for Facial Expression Recognition. FG 2024: 1-10 - [c138]David Latortue, Moetez Kdayem, Fidel A. Guerrero-Peña, Eric Granger, Marco Pedersoli:
Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting. WACV (Workshops) 2024: 290-299 - [c137]Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger:
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean Teacher. WACV 2024: 1266-1275 - [c136]Heitor Rapela Medeiros, Fidel A. Guerrero-Peña, Masih Aminbeidokhti, Thomas Dubail, Eric Granger, Marco Pedersoli:
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information. WACV 2024: 1433-1442 - [c135]Masih Aminbeidokhti, Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Eric Granger, Marco Pedersoli:
Domain Generalization by Rejecting Extreme Augmentations. WACV 2024: 2204-2214 - [i107]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg:
SeTformer is What You Need for Vision and Language. CoRR abs/2401.03540 (2024) - [i106]Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Eric Granger:
Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport. CoRR abs/2401.15489 (2024) - [i105]Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger:
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues. CoRR abs/2402.00281 (2024) - [i104]Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger:
Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptive Object Detection. CoRR abs/2403.09918 (2024) - [i103]Paul Waligora, Osama Zeeshan, Haseeb Aslam, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger:
Joint Multimodal Transformer for Dimensional Emotional Recognition in the Wild. CoRR abs/2403.10488 (2024) - [i102]Mahdi Alehdaghi, Pourya Shamsolmoali, Rafael M. O. Cruz, Eric Granger:
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification. CoRR abs/2403.10782 (2024) - [i101]Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel A. Guerrero-Peña, David Latortue, Eric Granger, Marco Pedersoli:
Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge. CoRR abs/2404.01492 (2024) - [i100]Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Eric Granger:
Realistic Model Selection for Weakly Supervised Object Localization. CoRR abs/2404.10034 (2024) - [i99]Heitor Rapela Medeiros, David Latortue, Fidel A. Guerrero-Peña, Eric Granger, Marco Pedersoli:
MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection. CoRR abs/2404.18849 (2024) - [i98]Alexis Guichemerre, Soufiane Belharbi, Tsiry Mayet, Shakeeb Murtaza, Pourya Shamsolmoali, Luke McCaffrey, Eric Granger:
Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology. CoRR abs/2404.19113 (2024) - [i97]Soufiane Belharbi, Mara KM Whitford, Phuong Hoang, Shakeeb Murtaza, Luke McCaffrey, Eric Granger:
SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution. CoRR abs/2406.09168 (2024) - [i96]Shakeeb Murtaza, Marco Pedersoli, Aydin Sarraf, Eric Granger:
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos. CoRR abs/2407.06018 (2024) - [i95]Nicolas Richet, Soufiane Belharbi, Haseeb Aslam, Meike Emilie Schadt, Manuela González-González, Gustave Cortal, Alessandro Lameiras Koerich, Marco Pedersoli, Alain Finkel, Simon Bacon, Eric Granger:
Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild. CoRR abs/2407.12927 (2024) - [i94]Muhammad Haseeb Aslam, Marco Pedersoli, Alessandro Lameiras Koerich, Eric Granger:
Multi Teacher Privileged Knowledge Distillation for Multimodal Expression Recognition. CoRR abs/2408.09035 (2024) - [i93]Simon Varailhon, Masih Aminbeidokhti, Marco Pedersoli, Eric Granger:
Source-Free Domain Adaptation for YOLO Object Detection. CoRR abs/2409.16538 (2024) - [i92]Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger:
Spatial Action Unit Cues for Interpretable Deep Facial Expression Recognition. CoRR abs/2410.01848 (2024) - [i91]Tsiry Mayet, Pourya Shamsolmoali, Simon Bernard, Eric Granger, Romain Hérault, Clément Chatelain:
TD-Paint: Faster Diffusion Inpainting Through Time Aware Pixel Conditioning. CoRR abs/2410.09306 (2024) - 2023
- [j59]Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger:
DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization. Image Vis. Comput. 140: 104838 (2023) - [j58]Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo López:
MDN: A Deep Maximization-Differentiation Network for Spatio-Temporal Depression Detection. IEEE Trans. Affect. Comput. 14(1): 578-590 (2023) - [j57]R. Gnana Praveen, Patrick Cardinal, Eric Granger:
Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attention. IEEE Trans. Biom. Behav. Identity Sci. 5(3): 360-373 (2023) - [j56]Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Salvador García, Eric Granger, Jie Yang:
GEN: Generative Equivariant Networks for Diverse Image-to-Image Translation. IEEE Trans. Cybern. 53(2): 874-886 (2023) - [c134]Akhil Meethal, Eric Granger, Marco Pedersoli:
Cascaded Zoom-in Detector for High Resolution Aerial Images. CVPR Workshops 2023: 2046-2055 - [c133]Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Eric Granger:
Privileged Knowledge Distillation for Dimensional Emotion Recognition in the Wild. CVPR Workshops 2023: 3338-3347 - [c132]Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli:
Re-basin via implicit Sinkhorn differentiation. CVPR 2023: 20237-20246 - [c131]R. Gnana Praveen, Eric Granger, Patrick Cardinal:
Recursive Joint Attention for Audio-Visual Fusion in Regression Based Emotion Recognition. ICASSP 2023: 1-5 - [c130]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger:
Image Completion Via Dual-Path Cooperative Filtering. ICASSP 2023: 1-5 - [c129]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger:
TransInpaint: Transformer-based Image Inpainting with Context Adaptation. ICCV (Workshops) 2023: 849-858 - [c128]Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger:
Multimodal Data Augmentation for Visual-Infrared Person ReID with Corrupted Data. WACV (Workshops) 2023: 1-10 - [c127]Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger:
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization. WACV (Workshops) 2023: 1-11 - [c126]Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos. WACV 2023: 137-146 - [c125]Djebril Mekhazni, Maximilien Dufau, Christian Desrosiers, Marco Pedersoli, Eric Granger:
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID. WACV 2023: 1624-1633 - [c124]Yifan Xu, Pourya Shamsolmoali, Eric Granger, Claire Nicodeme, Laurent Gardes, Jie Yang:
TransVLAD: Multi-Scale Attention-Based Global Descriptors for Visual Geo-Localization. WACV 2023: 2839-2848 - [i90]Akhil Meethal, Eric Granger, Marco Pedersoli:
Cascaded Zoom-in Detector for High Resolution Aerial Images. CoRR abs/2303.08747 (2023) - [i89]Soufiane Belharbi, Shakeeb Murtaza, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos. CoRR abs/2303.09044 (2023) - [i88]R. Gnana Praveen, Eric Granger, Patrick Cardinal:
Recursive Joint Attention for Audio-Visual Fusion in Regression based Emotion Recognition. CoRR abs/2304.07958 (2023) - [i87]Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger:
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal Data. CoRR abs/2305.00320 (2023) - [i86]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger:
Image Completion via Dual-path Cooperative Filtering. CoRR abs/2305.00379 (2023) - [i85]Mahdi Alehdaghi, Arthur Josi, Pourya Shamsolmoali, Rafael M. O. Cruz, Eric Granger:
Adaptive Generation of Privileged Intermediate Information for Visible-Infrared Person Re-Identification. CoRR abs/2307.03240 (2023) - [i84]Akhil Meethal, Eric Granger, Marco Pedersoli:
Density Crop-guided Semi-supervised Object Detection in Aerial Images. CoRR abs/2308.05032 (2023) - [i83]Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger:
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacher. CoRR abs/2309.14950 (2023) - [i82]Heitor Rapela Medeiros, Fidel A. Guerrero-Peña, Masih Aminbeidokhti, Thomas Dubail, Eric Granger, Marco Pedersoli:
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information. CoRR abs/2310.04662 (2023) - [i81]Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger:
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object Localization. CoRR abs/2310.06196 (2023) - [i80]Masih Aminbeidokhti, Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Eric Granger, Marco Pedersoli:
Domain Generalization by Rejecting Extreme Augmentations. CoRR abs/2310.06670 (2023) - [i79]David Latortue, Moetez Kdayem, Fidel A. Guerrero-Peña, Eric Granger, Marco Pedersoli:
Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting. CoRR abs/2311.11974 (2023) - [i78]Muhammad Osama Zeeshan, Muhammad Haseeb Aslam, Soufiane Belharbi, Alessandro L. Koerich, Marco Pedersoli, Simon Bacon, Eric Granger:
Subject-Based Domain Adaptation for Facial Expression Recognition. CoRR abs/2312.05632 (2023) - [i77]Issam Serraoui, Eric Granger, Abdenour Hadid, Abdelmalik Taleb-Ahmed:
Pain Analysis using Adaptive Hierarchical Spatiotemporal Dynamic Imaging. CoRR abs/2312.06920 (2023) - 2022
- [j55]Frank M. Hafner, Amran Bhuyian, Julian F. P. Kooij, Eric Granger:
Cross-modal distillation for RGB-depth person re-identification. Comput. Vis. Image Underst. 216: 103352 (2022) - [j54]Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Incremental multi-target domain adaptation for object detection with efficient domain transfer. Pattern Recognit. 129: 108771 (2022) - [j53]Wheidima Carneiro de Melo, Eric Granger, Abdenour Hadid:
A Deep Multiscale Spatiotemporal Network for Assessing Depression From Facial Dynamics. IEEE Trans. Affect. Comput. 13(3): 1581-1592 (2022) - [j52]Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. IEEE Trans. Medical Imaging 41(3): 702-714 (2022) - [c123]R. Gnana Praveen, Wheidima Carneiro de Melo, Nasib Ullah, Haseeb Aslam, Osama Zeeshan, Théo Denorme, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Patrick Cardinal, Eric Granger:
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition. CVPR Workshops 2022: 2485-2494 - [c122]Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, 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 Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo 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:
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460 - [c121]Thomas Dubail, Fidel Alejandro Guerrero Peña, Heitor Rapela Medeiros, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli:
Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras. ECCV Workshops (5) 2022: 689-702 - [c120]Mahdi Alehdaghi, Arthur Josi, Rafael M. O. Cruz, Eric Granger:
Visible-Infrared Person Re-Identification Using Privileged Intermediate Information. ECCV Workshops (5) 2022: 720-737 - [c119]Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed:
Constrained deep networks: Lagrangian optimization via Log-barrier extensions. EUSIPCO 2022: 962-966 - [c118]Félix Remigereau, Djebril Mekhazni, Sajjad Abdoli, Le Thanh Nguyen-Meidine, Rafael M. O. Cruz, Eric Granger:
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-Identification. ICIP 2022: 3853-3557 - [c117]Pourya Shamsolmoali, Masoumeh Zareapoor, Jie Yang, Eric Granger, Huiyu Zhou:
Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network. ICPR 2022: 4219-4225 - [c116]Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E. Cruz, Louis-Antoine Blais-Morin, Eric Granger:
Generative Target Update for Adaptive Siamese Tracking. ICPRAI (1) 2022: 502-513 - [c115]Pourya Shamsolmoali, Masoumeh Zareapoor, Jie Yang, Eric Granger, Jocelyn Chanussot:
Enhanced Single-Shot Detector for Small Object Detection in Remote Sensing Images. IGARSS 2022: 1716-1719 - [c114]Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E. Cruz, Louis-Antoine Blais-Morin, Eric Granger:
Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking. IJCNN 2022: 1-8 - [c113]Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger:
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes. IJCNN 2022: 1-8 - [c112]Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Negative Evidence Matters in Interpretable Histology Image Classification. MIDL 2022: 103-129 - [c111]Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling. WACV 2022: 3727-3736 - [e4]Mounim A. El-Yacoubi, Eric Granger, Pong Chi Yuen, Umapada Pal, Nicole Vincent:
Pattern Recognition and Artificial Intelligence - Third International Conference, ICPRAI 2022, Paris, France, June 1-3, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13363, Springer 2022, ISBN 978-3-031-09036-3 [contents] - [e3]Mounim A. El-Yacoubi, Eric Granger, Pong Chi Yuen, Umapada Pal, Nicole Vincent:
Pattern Recognition and Artificial Intelligence - Third International Conference, ICPRAI 2022, Paris, France, June 1-3, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13364, Springer 2022, ISBN 978-3-031-09281-7 [contents] - [i76]Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Negative Evidence Matters in Interpretable Histology Image Classification. CoRR abs/2201.02445 (2022) - [i75]Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E. Cruz, Louis-Antoine Blais-Morin, Eric Granger:
Generative Target Update for Adaptive Siamese Tracking. CoRR abs/2202.09938 (2022) - [i74]Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E. Cruz, Louis-Antoine Blais-Morin, Eric Granger:
Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking. CoRR abs/2203.03181 (2022) - [i73]Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo López:
Facial Expression Analysis Using Decomposed Multiscale Spatiotemporal Networks. CoRR abs/2203.11111 (2022) - [i72]Gnana Praveen Rajasekhar, Wheidima Carneiro de Melo, Nasib Ullah, Haseeb Aslam, Osama Zeeshan, Théo Denorme, Marco Pedersoli, Alessandro L. Koerich, Patrick Cardinal, Eric Granger:
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition. CoRR abs/2203.14779 (2022) - [i71]Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger:
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes. CoRR abs/2204.00147 (2022) - [i70]Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images. CoRR abs/2205.05841 (2022) - [i69]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Jocelyn Chanussot, Jie Yang:
Enhanced Single-shot Detector for Small Object Detection in Remote Sensing Images. CoRR abs/2205.05927 (2022) - [i68]Félix Remigereau, Djebril Mekhazni, Sajjad Abdoli, Le Thanh Nguyen-Meidine, Rafael M. O. Cruz, Eric Granger:
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-Identification. CoRR abs/2205.06237 (2022) - [i67]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou:
Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network. CoRR abs/2205.10272 (2022) - [i66]Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos. CoRR abs/2208.14542 (2022) - [i65]Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Eric Granger, Salvador García:
Wasserstein Embedding for Capsule Learning. CoRR abs/2209.00232 (2022) - [i64]R. Gnana Praveen, Eric Granger, Patrick Cardinal:
Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attention. CoRR abs/2209.09068 (2022) - [i63]Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger:
Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization. CoRR abs/2209.09195 (2022) - [i62]Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger:
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization. CoRR abs/2209.09209 (2022) - [i61]Mahdi Alehdaghi, Arthur Josi, Rafael M. O. Cruz, Eric Granger:
Visible-Infrared Person Re-Identification Using Privileged Intermediate Information. CoRR abs/2209.09348 (2022) - [i60]Thomas Dubail, Fidel Alejandro Guerrero Peña, Heitor Rapela Medeiros, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli:
Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras. CoRR abs/2209.11335 (2022) - [i59]Djebril Mekhazni, Maximilien Dufau, Christian Desrosiers, Marco Pedersoli, Eric Granger:
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID. CoRR abs/2211.03626 (2022) - [i58]Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger:
Multimodal Data Augmentation for Visual-Infrared Person ReID with Corrupted Data. CoRR abs/2211.11925 (2022) - [i57]Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli:
Re-basin via implicit Sinkhorn differentiation. CoRR abs/2212.12042 (2022) - 2021
- [j51]Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger:
Exploiting prunability for person re-identification. EURASIP J. Image Video Process. 2021(1): 22 (2021) - [j50]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou, Ruili Wang, M. Emre Celebi, Jie Yang:
Image synthesis with adversarial networks: A comprehensive survey and case studies. Inf. Fusion 72: 126-146 (2021) - [j49]Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Knowledge distillation methods for efficient unsupervised adaptation across multiple domains. Image Vis. Comput. 108: 104096 (2021) - [j48]Gnana Praveen Rajasekhar, Eric Granger, Patrick Cardinal:
Deep domain adaptation with ordinal regression for pain assessment using weakly-labeled videos. Image Vis. Comput. 110: 104167 (2021) - [j47]Madhu Kiran, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Louis-Antoine Blais-Morin, Ismail Ben Ayed, Eric Granger:
Flow guided mutual attention for person re-identification. Image Vis. Comput. 113: 104246 (2021) - [j46]Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed:
Boundary loss for highly unbalanced segmentation. Medical Image Anal. 67: 101851 (2021) - [c110]Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed:
Variational Fair Clustering. AAAI 2021: 11202-11209 - [c109]Madhu Kiran, Gnana Praveen Rajasekhar, Le Thanh Nguyen-Meidine, Soufiane Belharbi, Louis-Antoine Blais-Morin, Eric Granger:
Holistic Guidance for Occluded Person Re-Identification. BMVC 2021: 115 - [c108]R. Gnana Praveen, Eric Granger, Patrick Cardinal:
Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition. FG 2021: 1-8 - [c107]Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed:
Augmented Lagrangian Adversarial Attacks. ICCV 2021: 7718-7727 - [c106]Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation. WACV 2021: 1338-1346 - [c105]Théo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger:
Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition. WACV 2021: 3028-3037 - [c104]Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator. WACV 2021: 3337-3346 - [i56]Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains. CoRR abs/2101.07308 (2021) - [i55]Gnana Praveen R., Eric Granger, Patrick Cardinal:
Weakly Supervised Learning for Facial Behavior Analysis : A Review. CoRR abs/2101.09858 (2021) - [i54]Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer. CoRR abs/2104.06476 (2021) - [i53]Madhu Kiran, R. Gnana Praveen, Le Thanh Nguyen-Meidine, Soufiane Belharbi, Louis-Antoine Blais-Morin, Eric Granger:
Holistic Guidance for Occluded Person Re-Identification. CoRR abs/2104.06524 (2021) - [i52]Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Transductive Few-Shot Learning: Clustering is All You Need? CoRR abs/2106.09516 (2021) - [i51]Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
F-CAM: Full Resolution CAM via Guided Parametric Upscaling. CoRR abs/2109.07069 (2021) - [i50]Gnana Praveen R., Eric Granger, Patrick Cardinal:
Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition. CoRR abs/2111.05222 (2021) - 2020
- [j45]Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Éric Granger:
Robust face tracking using multiple appearance models and graph relational learning. Mach. Vis. Appl. 31(4): 23 (2020) - [j44]Fania Mokhayeri, Eric Granger:
A paired sparse representation model for robust face recognition from a single sample. Pattern Recognit. 100: 107129 (2020) - [j43]Roghayeh Soleymani, Eric Granger, Giorgio Fumera:
F-measure curves: A tool to visualize classifier performance under imbalance. Pattern Recognit. 100: 107146 (2020) - [j42]Marc-André Carbonneau, Eric Granger, Yazid Attabi, Ghyslain Gagnon:
Feature Learning from Spectrograms for Assessment of Personality Traits. IEEE Trans. Affect. Comput. 11(1): 25-31 (2020) - [j41]Fania Mokhayeri, Eric Granger:
Video Face Recognition Using Siamese Networks With Block-Sparsity Matching. IEEE Trans. Biom. Behav. Identity Sci. 2(2): 133-144 (2020) - [c103]Djebril Mekhazni, Amran Bhuiyan, George S. Eskander Ekladious, Eric Granger:
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification. ECCV (27) 2020: 159-174 - [c102]Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed:
A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses. ECCV (6) 2020: 548-564 - [c101]R. Gnana Praveen, Eric Granger, Patrick Cardinal:
Deep Weakly Supervised Domain Adaptation for Pain Localization in Videos. FG 2020: 473-480 - [c100]Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo López:
Encoding Temporal Information For Automatic Depression Recognition From Facial Analysis. ICASSP 2020: 1080-1084 - [c99]Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Laplacian Regularized Few-Shot Learning. ICML 2020: 11660-11670 - [c98]Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Marco Pedersoli, Louis-Antoine Blais-Morin:
Progressive Gradient Pruning for Classification, Detection and Domain Adaptation. ICPR 2020: 2795-2802 - [c97]Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger:
Convolutional STN for Weakly Supervised Object Localization. ICPR 2020: 10157-10164 - [c96]George S. Eskander Ekladious, Hugo Lemoine, Eric Granger, Kaveh Kamali, Salim Moudache:
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video Face Recognition. IJCNN 2020: 1-9 - [c95]Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin:
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation. IJCNN 2020: 1-8 - [c94]Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed:
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. MIDL 2020: 365-381 - [c93]Fania Mokhayeri, Kaveh Kamali, Eric Granger:
Cross-Domain Face Synthesis using a Controllable GAN. WACV 2020: 241-249 - [c92]Amran Bhuiyan, Yang Liu, Parthipan Siva, Mehrsan Javan, Ismail Ben Ayed, Eric Granger:
Pose Guided Gated Fusion for Person Re-identification. WACV 2020: 2664-2673 - [i49]George S. Eskander Ekladious, Hugo Lemoine, Eric Granger, Kaveh Kamali, Salim Moudache:
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition. CoRR abs/2002.04206 (2020) - [i48]Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed:
Metric learning: cross-entropy vs. pairwise losses. CoRR abs/2003.08983 (2020) - [i47]Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed:
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. CoRR abs/2004.06816 (2020) - [i46]Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin:
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation. CoRR abs/2005.07839 (2020) - [i45]Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Laplacian Regularized Few-Shot Learning. CoRR abs/2006.15486 (2020) - [i44]Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation. CoRR abs/2007.07077 (2020) - [i43]Djebril Mekhazni, Amran Bhuiyan, George S. Eskander Ekladious, Eric Granger:
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification. CoRR abs/2007.13890 (2020) - [i42]Madhu Kiran, Amran Bhuiyan, Louis-Antoine Blais-Morin, Mehrsan Javan, Ismail Ben Ayed, Eric Granger:
Flow-Guided Attention Networks for Video-Based Person Re-Identification. CoRR abs/2008.03788 (2020) - [i41]Gnana Praveen R., Eric Granger, Patrick Cardinal:
Deep Domain Adaptation for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labelled Videos. CoRR abs/2008.06392 (2020) - [i40]Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator. CoRR abs/2010.04889 (2020) - [i39]Théo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger:
Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition. CoRR abs/2011.05227 (2020) - [i38]Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. CoRR abs/2011.07221 (2020) - [i37]Thomas Teixeira, Eric Granger, Alessandro Lameiras Koerich:
Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks. CoRR abs/2011.09280 (2020) - [i36]Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed:
Augmented Lagrangian Adversarial Attacks. CoRR abs/2011.11857 (2020) - [i35]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou, Ruili Wang, M. Emre Celebi, Jie Yang:
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies. CoRR abs/2012.13736 (2020)
2010 – 2019
- 2019
- [j40]Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed:
Constrained-CNN losses for weakly supervised segmentation. Medical Image Anal. 54: 88-99 (2019) - [j39]Fania Mokhayeri, Eric Granger, Guillaume-Alexandre Bilodeau:
Domain-Specific Face Synthesis for Video Face Recognition From a Single Sample Per Person. IEEE Trans. Inf. Forensics Secur. 14(3): 757-772 (2019) - [j38]Marc-Andre Carbonneau, Eric Granger, Ghyslain Gagnon:
Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification Problems. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1441-1451 (2019) - [c91]Frank M. Hafner, Amran Bhuiyan, Julian F. P. Kooij, Eric Granger:
RGB-Depth Cross-Modal Person Re-identification. AVSS 2019: 1-8 - [c90]Madhu Kiran, Vivek Tiwari, Le Thanh Nguyen-Meidine, Louis-Antoine Blais-Morin, Eric Granger:
On the Interaction Between Deep Detectors and Siamese Trackers in Video Surveillance. AVSS 2019: 1-8 - [c89]Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger:
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses. CVPR 2019: 4322-4330 - [c88]Wheidima Carneiro de Melo, Eric Granger, Abdenour Hadid:
Combining Global and Local Convolutional 3D Networks for Detecting Depression from Facial Expressions. FG 2019: 1-8 - [c87]Fania Mokhayeri, Eric Granger:
Robust Video Face Recognition From a Single Still Using a Synthetic Plus Variational Model. FG 2019: 1-8 - [c86]Xiaoting Wu, Eric Granger, Tomi H. Kinnunen, Xiaoyi Feng, Abdenour Hadid:
Audio-Visual Kinship Verification in the Wild. ICB 2019: 1-8 - [c85]Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger:
Emotion Recognition with Spatial Attention and Temporal Softmax Pooling. ICIAR (1) 2019: 323-331 - [c84]Wheidima Carneiro de Melo, Eric Granger, Abdenour Hadid:
Depression Detection Based on Deep Distribution Learning. ICIP 2019: 4544-4548 - [c83]Hoel Kervadec, Jose Dolz, Éric Granger, Ismail Ben Ayed:
Curriculum Semi-supervised Segmentation. MICCAI (2) 2019: 568-576 - [c82]Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed:
Boundary loss for highly unbalanced segmentation. MIDL 2019: 285-296 - [i34]Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed:
Log-barrier constrained CNNs. CoRR abs/1904.04205 (2019) - [i33]Hoel Kervadec, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Curriculum semi-supervised segmentation. CoRR abs/1904.05236 (2019) - [i32]Imtiaz Masud Ziko, Eric Granger, Jing Yuan, Ismail Ben Ayed:
Clustering with Fairness Constraints: A Flexible and Scalable Approach. CoRR abs/1906.08207 (2019) - [i31]Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Louis-Antoine Blais-Morin:
An Improved Trade-off Between Accuracy and Complexity with Progressive Gradient Pruning. CoRR abs/1906.08746 (2019) - [i30]Xiaoting Wu, Eric Granger, Xiaoyi Feng:
Audio-Visual Kinship Verification. CoRR abs/1906.10096 (2019) - [i29]Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger:
A Survey of Pruning Methods for Efficient Person Re-identification Across Domains. CoRR abs/1907.02547 (2019) - [i28]Juan D. S. Ortega, Mohammed Senoussaoui, Eric Granger, Marco Pedersoli, Patrick Cardinal, Alessandro L. Koerich:
Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition. CoRR abs/1907.03196 (2019) - [i27]Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework. CoRR abs/1907.12934 (2019) - [i26]Jérôme Rony, Soufiane Belharbi, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep weakly-supervised learning methods for classification and localization in histology images: a survey. CoRR abs/1909.03354 (2019) - [i25]Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger:
Emotion Recognition with Spatial Attention and Temporal Softmax Pooling. CoRR abs/1910.01254 (2019) - [i24]Fania Mokhayeri, Eric Granger:
A Paired Sparse Representation Model for Robust Face Recognition from a Single Sample. CoRR abs/1910.02192 (2019) - [i23]Gnana Praveen R., Eric Granger, Patrick Cardinal:
Deep Weakly-Supervised Domain Adaptation for Pain Localization in Videos. CoRR abs/1910.08173 (2019) - [i22]Fania Mokhayeri, Kaveh Kamali, Eric Granger:
Cross-Domain Face Synthesis using a Controllable GAN. CoRR abs/1910.14247 (2019) - [i21]Madhu Kiran, Vivek Tiwari, Le Thanh Nguyen-Meidine, Eric Granger:
On the Interaction Between Deep Detectors and Siamese Trackers in Video Surveillance. CoRR abs/1910.14552 (2019) - [i20]Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep Ordinal Classification with Inequality Constraints. CoRR abs/1911.10720 (2019) - [i19]Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger:
Convolutional STN for Weakly Supervised Object Localization and Beyond. CoRR abs/1912.01522 (2019) - 2018
- [j37]Roghayeh Soleymani, Eric Granger, Giorgio Fumera:
Progressive boosting for class imbalance and its application to face re-identification. Expert Syst. Appl. 101: 271-291 (2018) - [j36]Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Eric Granger:
Tracking using Numerous Anchor Points. Mach. Vis. Appl. 29(2): 247-261 (2018) - [j35]Marc-André Carbonneau, Veronika Cheplygina, Eric Granger, Ghyslain Gagnon:
Multiple instance learning: A survey of problem characteristics and applications. Pattern Recognit. 77: 329-353 (2018) - [c81]Roghayeh Soleymani, Eric Granger, Giorgio Fumera:
F-Measure Curves for Visualizing Classifier Performance with Imbalanced Data. ANNPR 2018: 165-177 - [c80]Ibtihel Amara, Eric Granger, Abdenour Hadid:
Contextual Weighting of Patches for Local Matching in Still-to-Video Face Recognition. FG 2018: 756-763 - [c79]Francis Charette Migneault, Eric Granger, Fania Mokhayeri:
Using Adaptive Trackers for Video Face Recognition from a Single Sample Per Person. IPTA 2018: 1-6 - [c78]Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed:
Scalable Laplacian K-modes. NeurIPS 2018: 10062-10072 - [e2]Danail Stoyanov, Zeike Taylor, Simone Balocco, Raphael Sznitman, Anne L. Martel, Lena Maier-Hein, Luc Duong, Guillaume Zahnd, Stefanie Demirci, Shadi Albarqouni, Su-Lin Lee, Stefano Moriconi, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Eric Granger, Pierre Jannin:
Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Lecture Notes in Computer Science 11043, Springer 2018, ISBN 978-3-030-01363-9 [contents] - [i18]Fania Mokhayeri, Eric Granger, Guillaume-Alexandre Bilodeau:
Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per Person. CoRR abs/1801.01974 (2018) - [i17]Saman Bashbaghi, Eric Granger, Robert Sabourin, Mostafa Parchami:
Deep Learning Architectures for Face Recognition in Video Surveillance. CoRR abs/1802.09990 (2018) - [i16]Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed:
Constrained-CNN losses forweakly supervised segmentation. CoRR abs/1805.04628 (2018) - [i15]Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Eric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu:
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks. CoRR abs/1805.10720 (2018) - [i14]Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Louis-Antoine Blais-Morin:
A Comparison of CNN-based Face and Head Detectors for Real-Time Video Surveillance Applications. CoRR abs/1809.03336 (2018) - [i13]Frank Hafner, Amran Bhuiyan, Julian F. P. Kooij, Eric Granger:
A Cross-Modal Distillation Network for Person Re-identification in RGB-Depth. CoRR abs/1810.11641 (2018) - [i12]Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed:
Scalable Laplacian K-modes. CoRR abs/1810.13044 (2018) - [i11]Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger:
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses. CoRR abs/1811.09600 (2018) - [i10]Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed:
Boundary loss for highly unbalanced segmentation. CoRR abs/1812.07032 (2018) - 2017
- [j34]George S. Eskander Ekladious, Robert Sabourin, Eric Granger:
Learning Global-Local Distance Metrics for Signature-Based Biometric Cryptosystems. Cryptogr. 1(3): 22 (2017) - [j33]Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau:
Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations. Mach. Vis. Appl. 28(1-2): 219-241 (2017) - [j32]Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau:
Dynamic ensembles of exemplar-SVMs for still-to-video face recognition. Pattern Recognit. 69: 61-81 (2017) - [c77]Mostafa Parchami, Saman Bashbaghi, Eric Granger:
CNNs with cross-correlation matching for face recognition in video surveillance using a single training sample per person. AVSS 2017: 1-6 - [c76]Mostafa Parchami, Saman Bashbaghi, Eric Granger, Saif Iftekar Sayed:
Using deep autoencoders to learn robust domain-invariant representations for still-to-video face recognition. AVSS 2017: 1-6 - [c75]Xihan Wang, Xiaoyi Feng, Zhaoqiang Xia, Jinye Peng, Eric Granger:
Multi-orientation Scene Text Detection Leveraging Background Suppression. ICIG (1) 2017: 555-566 - [c74]Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau:
Dynamic Selection of Exemplar-SVMs for Watch-list Screening through Domain Adaptation. ICPRAM 2017: 738-745 - [c73]Mostafa Parchami, Saman Bashbaghi, Eric Granger:
Video-based face recognition using ensemble of haar-like deep convolutional neural networks. IJCNN 2017: 4625-4632 - [c72]Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Louis-Antoine Blais-Morin:
A comparison of CNN-based face and head detectors for real-time video surveillance applications. IPTA 2017: 1-7 - [e1]M. Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro:
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. Lecture Notes in Computer Science 10552, Springer 2017, ISBN 978-3-319-67533-6 [contents] - [i9]Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Eric Granger:
Tracking using Numerous Anchor points. CoRR abs/1702.02012 (2017) - [i8]Roghayeh Soleymani, Eric Granger, Giorgio Fumera:
Progressive Boosting for Class Imbalance. CoRR abs/1706.01531 (2017) - [i7]Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Eric Granger:
Robust Face Tracking using Multiple Appearance Models and Graph Relational Learning. CoRR abs/1706.09806 (2017) - [i6]Marc-André Carbonneau, Eric Granger, Ghyslain Gagnon:
Bag-Level Aggregation for Multiple Instance Active Learning in Instance Classification Problems. CoRR abs/1710.02584 (2017) - [i5]Ahmad Chaddad, Behnaz Naisiri, Marco Pedersoli, Eric Granger, Christian Desrosiers, Matthew Toews:
Modeling Information Flow Through Deep Neural Networks. CoRR abs/1712.00003 (2017) - 2016
- [j31]M. Ali Akber Dewan, Eric Granger, Gian Luca Marcialis, Robert Sabourin, Fabio Roli:
Adaptive appearance model tracking for still-to-video face recognition. Pattern Recognit. 49: 129-151 (2016) - [j30]Marc-André Carbonneau, Eric Granger, Alexandre J. Raymond, Ghyslain Gagnon:
Robust multiple-instance learning ensembles using random subspace instance selection. Pattern Recognit. 58: 83-99 (2016) - [c71]Farshad Nourbakhsh, Eric Granger, Giorgio Fumera:
An Extended Sparse Classification Framework for Domain Adaptation in Video Surveillance. ACCV Workshops (3) 2016: 360-376 - [c70]Dmitry O. Gorodnichy, David Bissessar, Eric Granger, Robert Laganière:
Recognizing People and Their Activities in Surveillance Video: Technology State of Readiness and Roadmap. CRV 2016: 250-259 - [c69]Roghayeh Soleymani, Eric Granger, Giorgio Fumera:
Loss factors for learning Boosting ensembles from imbalanced data. ICPR 2016: 204-209 - [c68]Marc-Andre Carbonneau, Eric Granger, Ghyslain Gagnon:
Witness identification in multiple instance learning using random subspaces. ICPR 2016: 3639-3644 - [c67]Roghayeh Soleymani, Eric Granger, Giorgio Fumera:
Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification. ICPRAM 2016: 97-108 - [c66]Farshad Nourbakhsh, Eric Granger:
Learning of Graph Compressed Dictionaries for Sparse Representation Classification. ICPRAM 2016: 309-316 - [c65]Marc-Andre Carbonneau, Eric Granger, Ghyslain Gagnon:
Score thresholding for accurate instance classification in multiple instance learning. IPTA 2016: 1-6 - [p2]Donavan Prieur, Eric Granger, Yvon Savaria, Claude Thibeault:
Efficient identification of Faces in video Streams using low-Power Multi-Core Devices. Handbook of Pattern Recognition and Computer Vision 2016: 427-454 - [p1]Eduardo Vellasques, Robert Sabourin, Eric Granger:
A Dual-Purpose Memory Approach for Dynamic Particle Swarm Optimization of Recurrent Problems. Recent Advances in Computational Intelligence in Defense and Security 2016: 367-389 - [i4]Marc-André Carbonneau, Eric Granger, Yazid Attabi, Ghyslain Gagnon:
Feature Learning from Spectrograms for Assessment of Personality Traits. CoRR abs/1610.01223 (2016) - [i3]Marc-André Carbonneau, Veronika Cheplygina, Eric Granger, Ghyslain Gagnon:
Multiple Instance Learning: A Survey of Problem Characteristics and Applications. CoRR abs/1612.03365 (2016) - 2015
- [j29]Miguel De-la-Torre, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy:
Individual-specific management of reference data in adaptive ensembles for face re-identification. IET Comput. Vis. 9(5): 732-740 (2015) - [j28]Miguel De-la-Torre, Eric Granger, Paulo Vinicius Wolski Radtke, Robert Sabourin, Dmitry O. Gorodnichy:
Partially-supervised learning from facial trajectories for face recognition in video surveillance. Inf. Fusion 24: 31-53 (2015) - [j27]Miguel De-la-Torre, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy:
An adaptive ensemble-based system for face recognition in person re-identification. Mach. Vis. Appl. 26(6): 741-773 (2015) - [j26]Miguel De-la-Torre, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy:
Adaptive skew-sensitive ensembles for face recognition in video surveillance. Pattern Recognit. 48(11): 3385-3406 (2015) - [c64]Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau:
Ensembles of exemplar-SVMs for video face recognition from a single sample per person. AVSS 2015: 1-6 - [c63]Fania Mokhayeri, Eric Granger, Guillaume-Alexandre Bilodeau:
Synthetic face generation under various operational conditions in video surveillance. ICIP 2015: 4052-4056 - [c62]Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Eric Granger:
Contextual object tracker with structure encoding. ICIP 2015: 4937-4941 - [c61]Christophe Pagano, Eric Granger, Robert Sabourin, Gian Luca Marcialis, Fabio Roli:
Adaptive Classification for Person Re-identification Driven by Change Detection. ICPRAM (1) 2015: 45-55 - [c60]Miguel De-la-Torre, Eric Granger, Robert Sabourin:
Adaptive skew-sensitive fusion of ensembles and their application to face re-identification. IJCNN 2015: 1-8 - [c59]Vitaliy Tayanov, Eric Granger, Miguel Bordallo López, Abdenour Hadid:
Super-resolution pipeline for fast adjudication in watchlist screening. IPTA 2015: 273-278 - [c58]Marc-Andre Carbonneau, Alexandre J. Raymond, Eric Granger, Ghyslain Gagnon:
Real-time visual play-break detection in sport events using a context descriptor. ISCAS 2015: 2808-2811 - [c57]Samaneh Khoshrou, Jaime S. Cardoso, Eric Granger, Luís Filipe Teixeira:
Spatio-Temporal Fusion for Learning of Regions of Interests Over Multiple Video Streams. ISVC (2) 2015: 509-520 - [c56]M. Ali Akber Dewan, Eric Granger, Robert Sabourin, Gian Luca Marcialis, Fabio Roli:
Video Face Recognition From A Single Still Image Using an Adaptive Appearance Model Tracker. SSCI 2015: 196-202 - 2014
- [j25]Paulo Vinicius Wolski Radtke, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy:
Skew-sensitive boolean combination for adaptive ensembles - An application to face recognition in video surveillance. Inf. Fusion 20: 31-48 (2014) - [j24]George S. Eskander, Robert Sabourin, Eric Granger:
A bio-cryptographic system based on offline signature images. Inf. Sci. 259: 170-191 (2014) - [j23]Christophe Pagano, Eric Granger, Robert Sabourin, Gian Luca Marcialis, Fabio Roli:
Adaptive ensembles for face recognition in changing video surveillance environments. Inf. Sci. 286: 75-101 (2014) - [j22]Bassem S. Rabil, Robert Sabourin, Eric Granger:
Rapid blockwise multi-resolution clustering of facial images for intelligent watermarking. Mach. Vis. Appl. 25(2): 277-300 (2014) - [c55]Christophe Pagano, Eric Granger, Robert Sabourin, Gian Luca Marcialis, Fabio Roli:
Dynamic Weighted Fusion of Adaptive Classifier Ensembles Based on Changing Data Streams. ANNPR 2014: 105-116 - [c54]George S. Eskander, Robert Sabourin, Eric Granger:
Offline signature-based fuzzy vault: A review and new results. CIBIM 2014: 45-52 - [c53]Christophe Pagano, Eric Granger, Robert Sabourin, Ajita Rattani, Gian Luca Marcialis, Fabio Roli:
Efficient adaptive face recognition systems based on capture conditions. CIBIM 2014: 60-67 - [c52]Dmitry O. Gorodnichy, Eric Granger:
Target-based evaluation of face recognition technology for video surveillance applications. CIBIM 2014: 110-117 - [c51]Ibtihel Amara, Eric Granger, Abdenour Hadid:
On the Effects of Illumination Normalization with LBP-Based Watchlist Screening. ECCV Workshops (2) 2014: 173-188 - [c50]George S. Eskander, Robert Sabourin, Eric Granger:
Improving Signature-Based Biometric Cryptosystems Using Cascaded Signature Verification-Fuzzy Vault (SV-FV) Approach. ICFHR 2014: 187-192 - [c49]Miguel De-la-Torre, Eric Granger, Paulo Vinicius Wolski Radtke, Robert Sabourin, Dmitry O. Gorodnichy:
Self-Updating with Facial Trajectories for Video-to-Video Face Recognition. ICPR 2014: 1669-1674 - [c48]Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau:
Watch-List Screening Using Ensembles Based on Multiple Face Representations. ICPR 2014: 4489-4494 - [i2]Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Eric Granger:
Automatic Image Registration in Infrared-Visible Videos using Polygon Vertices. CoRR abs/1403.4232 (2014) - [i1]George S. Eskander, Robert Sabourin, Eric Granger:
Offline Signature-Based Fuzzy Vault (OSFV: Review and New Results. CoRR abs/1408.3985 (2014) - 2013
- [j21]Eduardo Vellasques, Robert Sabourin, Eric Granger:
Fast intelligent watermarking of heterogeneous image streams through mixture modeling of PSO populations. Appl. Soft Comput. 13(6): 3130-3148 (2013) - [j20]Jean-François Connolly, Eric Granger, Robert Sabourin:
Dynamic multi-objective evolution of classifier ensembles for video face recognition. Appl. Soft Comput. 13(6): 3149-3166 (2013) - [j19]Saeed Samet, Ali Miri, Eric Granger:
Incremental learning of privacy-preserving Bayesian networks. Appl. Soft Comput. 13(8): 3657-3667 (2013) - [j18]Eduardo Vellasques, Robert Sabourin, Eric Granger:
DS-DPSO: A dual surrogate approach for intelligent watermarking of bi-tonal document image streams. Expert Syst. Appl. 40(13): 5240-5259 (2013) - [j17]Bassem S. Rabil, Safa Tliba, Eric Granger, Robert Sabourin:
Securing high resolution grayscale facial captures using a blockwise coevolutionary GA. Expert Syst. Appl. 40(17): 6693-6706 (2013) - [j16]George S. Eskander, Robert Sabourin, Eric Granger:
Hybrid writer-independent-writer-dependent offline signature verification system. IET Biom. 2(4): 169-181 (2013) - [j15]Dominique Rivard, Eric Granger, Robert Sabourin:
Multi-feature extraction and selection in writer-independent off-line signature verification. Int. J. Document Anal. Recognit. 16(1): 83-103 (2013) - [c47]George S. Eskander, Robert Sabourin, Eric Granger:
Dissimilarity Representation for Handwritten Signature Verification. AFHA 2013: 26-30 - [c46]Miguel De-la-Torre, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy:
An individual-specific strategy for management of reference data in adaptive ensembles for person re-identification. ICDP 2013: 1-7 - [c45]M. Ali Akber Dewan, Eric Granger, Fabio Roli, Robert Sabourin, Gian Luca Marcialis:
A comparison of adaptive appearance methods for tracking faces in video surveillance. ICDP 2013: 1-7 - [c44]George S. Eskander, Robert Sabourin, Eric Granger:
A Dissimilarity-Based Approach for Biometric Fuzzy Vaults-Application to Handwritten Signature Images. ICIAP Workshops 2013: 95-102 - [c43]Jean-François Connolly, Eric Granger, Robert Sabourin:
Evolving Classifier Ensembles using Dynamic Multi-objective Swarm Intelligence. ICPRAM 2013: 206-215 - [c42]Paulo Vinicius Wolski Radtke, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy:
Adaptive Ensemble Selection for Face Re-identification under Class Imbalance. MCS 2013: 95-108 - [c41]Bassem S. Rabil, Robert Sabourin, Eric Granger:
Securing Mass Biometric Templates Using Blockwise Multi-Resolution Clustering. MLDM Posters 2013: 89-98 - [c40]George S. Eskander, Robert Sabourin, Eric Granger:
Towards Automated Transactions Based on the Offline Handwritten Signatures. MLDM Posters 2013: 141-150 - [c39]George S. Eskander, Robert Sabourin, Eric Granger:
On the Dissimilarity Representation and Prototype Selection for Signature-Based Bio-cryptographic Systems. SIMBAD 2013: 265-280 - 2012
- [j14]Guillaume Latombe, Eric Granger, Fred A. Dilkes:
Graphical EM for on-line learning of grammatical probabilities in radar Electronic Support. Appl. Soft Comput. 12(8): 2362-2378 (2012) - [j13]Eric Granger, Wael Khreich, Robert Sabourin, Dmitry O. Gorodnichy:
Fusion of biometric systems using Boolean combination: an application to iris-based authentication. Int. J. Biom. 4(3): 291-315 (2012) - [j12]Jean-François Connolly, Eric Granger, Robert Sabourin:
An adaptive classification system for video-based face recognition. Inf. Sci. 192: 50-70 (2012) - [j11]Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin:
A survey of techniques for incremental learning of HMM parameters. Inf. Sci. 197: 105-130 (2012) - [j10]Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin:
Adaptive ROC-based ensembles of HMMs applied to anomaly detection. Pattern Recognit. 45(1): 208-230 (2012) - [j9]Luana Batista, Eric Granger, Robert Sabourin:
Dynamic selection of generative-discriminative ensembles for off-line signature verification. Pattern Recognit. 45(4): 1326-1340 (2012) - [j8]Jean-François Connolly, Eric Granger, Robert Sabourin:
Evolution of heterogeneous ensembles through dynamic particle swarm optimization for video-based face recognition. Pattern Recognit. 45(7): 2460-2477 (2012) - [c38]Miguel De-la-Torre, Paulo Vinicius Wolski Radtke, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy:
A comparison of adaptive matchers for screening of faces in video surveillance. CISDA 2012: 1-8 - [c37]Eduardo Vellasques, Robert Sabourin, Eric Granger:
Gaussian mixture modeling for dynamic particle swarm optimization of recurrent problems. GECCO 2012: 73-80 - [c36]George S. Eskander, Robert Sabourin, Eric Granger:
Adaptation of Writer-Independent Systems for Offline Signature Verification. ICFHR 2012: 434-439 - [c35]Jean-François Connolly, Eric Granger, Robert Sabourin:
On the correlation between genotype and classifier diversity. ICPR 2012: 1068-1071 - [c34]Ajita Rattani, Gian Luca Marcialis, Eric Granger, Fabio Roli:
A dual-staged classification-selection approach for automated update of biometric templates. ICPR 2012: 2972-2975 - [c33]Paulo Vinicius Wolski Radtke, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy:
Adaptive selection of ensembles for imbalanced class distributions. ICPR 2012: 2980-2984 - [c32]Miguel De-la-Torre, Eric Granger, Paulo Vinicius Wolski Radtke, Robert Sabourin, Dmitry O. Gorodnichy:
Incremental update of biometric models in face-based video surveillance. IJCNN 2012: 1-8 - [c31]Christophe Pagano, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy:
Detector ensembles for face recognition in video surveillance. IJCNN 2012: 1-8 - [c30]Gian Luca Marcialis, Luca Didaci, Alessandro Pisano, Eric Granger, Fabio Roli:
Why template self-update should work in biometric authentication systems? ISSPA 2012: 1086-1091 - 2011
- [j7]Eduardo Vellasques, Robert Sabourin, Eric Granger:
A high throughput system for intelligent watermarking of bi-tonal images. Appl. Soft Comput. 11(8): 5215-5229 (2011) - [c29]Jean-François Connolly, Eric Granger, Robert Sabourin:
Comparing dynamic PSO algorithms for adapting classifier ensembles in video-based face recognition. CIBIM 2011: 1-8 - [c28]Bassem S. Rabil, Robert Sabourin, Eric Granger:
Impact of watermarking on offline signature verification in intelligent bio-watermarking systems. CIBIM 2011: 13-20 - [c27]Dmitry O. Gorodnichy, Elan Dubrofsky, Richard Hoshino, Wael Khreich, Eric Granger, Robert Sabourin:
Exploring the upper bound performance limit of iris biometrics using score calibration and fusion. CIBIM 2011: 54-61 - [c26]George S. Eskander, Robert Sabourin, Eric Granger:
Signature based Fuzzy Vaults with Boosted Feature Selection. CIBIM 2011: 131-138 - [c25]Bassem S. Rabil, Robert Sabourin, Eric Granger:
Watermarking Stack of Grayscale Face Images as Dynamic Multi-Objective Optimization Problem. MDA 2011: 63-77 - [c24]Luana Batista, Eric Granger, Robert Sabourin:
Dynamic Ensemble Selection for Off-Line Signature Verification. MCS 2011: 157-166 - [c23]Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin:
Incremental Boolean Combination of Classifiers. MCS 2011: 340-349 - 2010
- [j6]Luana Batista, Eric Granger, Robert Sabourin:
Improving performance of HMM-based off-line signature verification systems through a multi-hypothesis approach. Int. J. Document Anal. Recognit. 13(1): 33-47 (2010) - [j5]Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin:
Iterative Boolean combination of classifiers in the ROC space: An application to anomaly detection with HMMs. Pattern Recognit. 43(8): 2732-2752 (2010) - [j4]Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin:
On the memory complexity of the forward-backward algorithm. Pattern Recognit. Lett. 31(2): 91-99 (2010) - [c22]Jean-François Connolly, Eric Granger, Robert Sabourin:
An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c21]Eric Granger, Donavan Prieur, Jean-François Connolly:
Evolving ARTMAP neural networks using Multi-Objective Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c20]Luana Batista, Eric Granger, Robert Sabourin:
Applying Dissimilarity Representation to Off-Line Signature Verification. ICPR 2010: 1293-1297 - [c19]Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin:
Boolean Combination of Classifiers in the ROC Space. ICPR 2010: 4299-4303 - [c18]Bassem S. Rabil, Robert Sabourin, Eric Granger:
Intelligent Watermarking with Multi-objective Population Based Incremental Learning. IIH-MSP 2010: 131-134 - [c17]Eduardo Vellasques, Robert Sabourin, Eric Granger:
Intelligent Watermarking of Document Images as a Dynamic Optimization Problem. IIH-MSP 2010: 139-142 - [c16]Luana Batista, Eric Granger, Robert Sabourin:
A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity Representation. MCS 2010: 264-273
2000 – 2009
- 2009
- [c15]Jean-François Connolly, Eric Granger, Robert Sabourin:
Incremental adaptation of fuzzy ARTMAP neural networks for video-based face classification. CISDA 2009: 1-8 - [c14]Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin:
A comparison of techniques for on-line incremental learning of HMM parameters in anomaly detection. CISDA 2009: 1-8 - [c13]Wael Khreich, Eric Granger, Robert Sabourin, Ali Miri:
Combining Hidden Markov Models for Improved Anomaly Detection. ICC 2009: 1-6 - [c12]Luana Batista, Eric Granger, Robert Sabourin:
A Multi-Hypothesis Approach for Off-Line Signature Verification with HMMs. ICDAR 2009: 1315-1319 - 2008
- [c11]Jean-François Connolly, Eric Granger, Robert Sabourin:
Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network. ANNPR 2008: 66-77 - [c10]Eric Granger, Jean-François Connolly, Robert Sabourin:
A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning. IJCNN 2008: 3305-3312 - 2007
- [c9]Guillaume Latombe, Eric Granger, Fred A. Dilkes:
Incremental Learning of Stochastic Grammars with Graphical EM in Radar Electronic Support. ICASSP (2) 2007: 301-304 - [c8]Mamoudou Barry, Eric Granger:
Comparison of ARTMAP Neural Networks for Classification for Face Recognition from Video. ICIAR 2007: 794-805 - [c7]Mamoudou Barry, Eric Granger:
Face Recognition in Video Using a What-and-Where Fusion Neural Network. IJCNN 2007: 2256-2261 - 2006
- [c6]Guillaume Latombe, Eric Granger, Fred A. Dilkes:
Maximum Likelihood and the Graphical Em Algorithm. CCECE 2006: 1475-1480 - [c5]Guillaume Latombe, Eric Granger, Fred A. Dilkes:
Fast Incremental Techniques for Learning Production Rule Probabilities in Radar Electronic Support. ICASSP (5) 2006: 773-776 - [c4]Eric Granger, Philippe Henniges, Luiz S. Oliveira, Robert Sabourin:
Particle Swarm Optimization of Fuzzy ARTMAP Parameters. IJCNN 2006: 2060-2067 - 2003
- [j3]Eric Granger, Yvon Savaria, Pierre Lavoie:
A Pattern Reordering Approach Based on Ambiguity Detection for Online Category Learning. IEEE Trans. Pattern Anal. Mach. Intell. 25(4): 524-528 (2003) - 2001
- [j2]Eric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie:
A What-and-Where fusion neural network for recognition and tracking of multiple radar emitters. Neural Networks 14(3): 325-344 (2001) - 2000
- [c3]Eric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie:
Classification of Incomplete Data Using the Fuzzy ARTMAP Neural Network. IJCNN (6) 2000: 35-40 - [c2]Marc-André Cantin, Yves Blaquière, Yvon Savaria, Pierre Lavoie, Eric Granger:
Analysis of quantization effects in a digital hardware implementation of a fuzzy ART neural network algorithm. ISCAS 2000: 141-144
1990 – 1999
- 1998
- [j1]Eric Granger, Yvon Savaria, Pierre Lavoie, Marc-André Cantin:
A comparison of self-organizing neural networks for fast clustering of radar pulses. Signal Process. 64(3): 249-269 (1998) - [c1]Eric Granger, Stephen Grossberg, Mark A. Rubin, William W. Streilein:
Familiarity Discrimination of Radar Pulses. NIPS 1998: 875-881
Coauthor Index
Muhammad Haseeb Aslam
aka: Haseeb Aslam
aka: Haseeb Aslam
Marc-André Carbonneau
aka: Marc-Andre Carbonneau
aka: Marc-Andre Carbonneau
Rafael M. O. Cruz
aka: Rafael Menelau Oliveira E. Cruz
aka: Rafael Menelau Oliveira E. Cruz