Eric Granger

368 papers A* 11A 19B 46C 7Misc 3Journal 202Unranked 74
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptation of Weakly Supervised Localization in Histopathology by Debiasing Predictions.
CoRR
Alexis Guichemerre, Banafsheh Karimian, Soufiane Belharbi, Natacha Gillet, Nicolas Thome, Pourya Shamsolmoali, Mohammadhadi Shateri, Luke McCaffrey, Eric Granger
2026 A* conf
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI.
AAAI
Mahdi Alehdaghi, Rajarshi Bhattacharya, Pourya Shamsolmoali, Rafael M. O. Cruz, Eric Granger
2026 J jnl
CLIP-AUTT: Test-Time Personalization with Action Unit Prompting for Fine-Grained Video Emotion Recognition.
CoRR
Muhammad Osama Zeeshan, Masoumeh Sharafi, Benoît Savary, Alessandro Lameiras Koerich, Marco Pedersoli, Eric Granger
2026 A* conf
DogFit: Domain-guided Fine-tuning for Efficient Transfer Learning of Diffusion Models.
AAAI
Yara Bahram, Mohammadhadi Shateri, Eric Granger
2026 J jnl
IntRec: Intent-based Retrieval with Contrastive Refinement.
CoRR
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Yue Lu
2026 J jnl
Longitudinal Risk Prediction in Mammography with Privileged History Distillation.
CoRR
Banafsheh Karimian, Alexis Guichemerre, Soufiane Belharbi, Natacha Gillet, Luke McCaffrey, Mohammadhadi Shateri, Eric Granger
2026 J jnl
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition.
IEEE Trans. Affect. Comput.
Muhammad Osama Zeeshan, Marco Pedersoli, Alessandro Lameiras Koerich, Eric Granger
2026 J jnl
Test-Time Adaptation via Cache Personalization for Facial Expression Recognition in Videos.
CoRR
Masoumeh Sharafi, Muhammad Osama Zeeshan, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Eric Granger
2025 A conf
A Realistic Protocol for Evaluation of Weakly Supervised Object Localization.
WACV
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Eric Granger
2025 J jnl
Adaptive Generation of Privileged Intermediate Information for Visible-Infrared Person Re-Identification.
IEEE Trans. Inf. Forensics Secur.
Mahdi Alehdaghi, Arthur Josi, Rafael M. O. Cruz, Pourya Shamsolmoali, Eric Granger
2025 — conf
Advancements in Affective and Behavior Analysis: The 8th ABAW Workshop and Competition.
CVPR Workshops
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 A conf
Attention-Based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors.
WACV
Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger
2025 J jnl
BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural Change.
CoRR
Manuela González-González, Soufiane Belharbi, Muhammad Osama Zeeshan, Masoumeh Sharafi, Muhammad Haseeb Aslam, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger
2025 J jnl
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI.
CoRR
Mahdi Alehdaghi, Rajarshi Bhattacharya, Pourya Shamsolmoali, Rafael M. O. Cruz, Maguelonne Heritier, Eric Granger
2025 A conf
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification.
WACV
Mahdi Alehdaghi, Pourya Shamsolmoali, Rafael M. O. Cruz, Eric Granger
2025 J jnl
CLIP-IT: CLIP-based Pairing for Histology Images Classification.
CoRR
Banafsheh Karimian, Giulia Avanzato, Soufiane Belharbi, Luke McCaffrey, Mohammadhadi Shateri, Eric Granger
2025 J jnl
CoLo-CAM: Class activation mapping for object co-localization in weakly-labeled unconstrained videos.
Pattern Recognit.
Soufiane Belharbi, Shakeeb Murtaza, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2025 J jnl
DART
CoRR
Rajarshi Bhattacharya, Shakeeb Murtaza, Christian Desrosiers, Jose Dolz, Maguelonne Heritier, Eric Granger
2025 B conf
Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data.
FG
Masoumeh Sharafi, Emma Ollivier, Muhammad Osama Zeeshan, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger
2025 J jnl
Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data.
CoRR
Masoumeh Sharafi, Emma Ollivier, Muhammad Osama Zeeshan, Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger
2025 J jnl
DogFit: Domain-guided Fine-tuning for Efficient Transfer Learning of Diffusion Models.
CoRR
Yara Bahram, Mohammadhadi Shateri, Eric Granger
2025 — conf
ExaM: Unsupervised Concept-Based Representation Learning to Better Explain Models in Vision Tasks.
CVPR Workshops
Maguelonne Heritier, Djebril Mekhazni, Cédric Leblond-Ménard, Benoit Godbout, Nathan Guilbaud, Mahdi Alehdaghi, Eric Granger
2025 J jnl
From Cross-Modal to Mixed-Modal Visible-Infrared Re-Identification.
CoRR
Mahdi Alehdaghi, Rajarshi Bhattacharya, Pourya Shamsolmoali, Rafael M. O. Cruz, Eric Granger
2025 J jnl
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal Data.
Int. J. Comput. Vis.
Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger
2025 J jnl
High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization.
CoRR
Masih Aminbeidokhti, Heitor Rapela Medeiros, Srikanth Muralidharan, Eric Granger, Marco Pedersoli
2025 J jnl
Hybrid Gromov-Wasserstein Embedding for Capsule Learning.
IEEE Trans. Neural Networks Learn. Syst.
Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Eric Granger, Salvador García
2025 J jnl
Infrared Object Detection with Ultra Small ConvNets: Is ImageNet Pretraining Still Useful?
CoRR
Srikanth Muralidharan, Heitor Rapela Medeiros, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
2025 J jnl
LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups.
CoRR
Masih Aminbeidokhti, Subhankar Roy, Eric Granger, Elisa Ricci, Marco Pedersoli
2025 J jnl
Learning Task-Agnostic Representations through Multi-Teacher Distillation.
CoRR
Philippe Formont, Maxime Darrin, Banafsheh Karimian, Jackie CK Cheung, Eric Granger, Ismail Ben Ayed, Mohammadhadi Shateri, Pablo Piantanida
2025 — conf
Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation.
ECML/PKDD (6)
Muhammad Haseeb Aslam, Clara Martinez, Marco Pedersoli, Alessandro Lameiras Koerich, Ali Etemad, Eric Granger
2025 J jnl
Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation.
CoRR
Muhammad Haseeb Aslam, Clara Martinez, Marco Pedersoli, Alessandro L. Koerich, Ali Etemad, Eric Granger
2025 J jnl
Low-Rank Expert Merging for Multi-Source Domain Adaptation in Person Re-Identification.
CoRR
Taha Mustapha Nehdi, Nairouz Mrabah, Atif Belal, Marco Pedersoli, Eric Granger
2025 A conf
Mixed Patch Visible-Infrared Modality Agnostic Object Detection.
WACV
Heitor Rapela Medeiros, David Latortue, Eric Granger, Marco Pedersoli
2025 J jnl
MuSACo: Multimodal Subject-Specific Selection and Adaptation for Expression Recognition with Co-Training.
CoRR
Muhammad Osama Zeeshan, Natacha Gillet, Alessandro Lameiras Koerich, Marco Pedersoli, François Brémond, Eric Granger
2025 J jnl
Personalized Feature Translation for Expression Recognition: An Efficient Source-Free Domain Adaptation Method.
CoRR
Masoumeh Sharafi, Soufiane Belharbi, Houssem Ben Salem, Ali Etemad, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger
2025 J jnl
PixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI Localization.
CoRR
Alexis Guichemerre, Soufiane Belharbi, Mohammadhadi Shateri, Luke McCaffrey, Eric Granger
2025 J jnl
Revisiting Mixout: An Overlooked Path to Robust Finetuning.
CoRR
Masih Aminbeidokhti, Heitor Rapela Medeiros, Eric Granger, Marco Pedersoli
2025 J jnl
Sleep Brain and Cardiac Activity Predict Cognitive Flexibility and Conceptual Reasoning Using Deep Learning.
CoRR
Boshra Khajehpiri, Eric Granger, Massimiliano de Zambotti, Fiona C. Baker, Mohamad Forouzanfar
2025 A* conf
TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning.
ICLR
Tsiry Mayet, Pourya Shamsolmoali, Simon Bernard, Eric Granger, Romain Hérault, Clément Chatelain
2025 J jnl
TeD-Loc: Text Distillation for Weakly Supervised Object Localization.
CoRR
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Eric Granger
2025 J jnl
Uni-DAD: Unified Distillation and Adaptation of Diffusion Models for Few-step Few-shot Image Generation.
CoRR
Yara Bahram, Melodie Desbos, Mohammadhadi Shateri, Eric Granger
2025 J jnl
VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors.
CoRR
Atif Belal, Heitor Rapela Medeiros, Marco Pedersoli, Eric Granger
2025 J jnl
WiSE-OD: Benchmarking Robustness in Infrared Object Detection.
CoRR
Heitor Rapela Medeiros, Atif Belal, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
2024 J jnl
Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptive Object Detection.
CoRR
Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger
2024 J jnl
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification.
CoRR
Mahdi Alehdaghi, Pourya Shamsolmoali, Rafael M. O. Cruz, Eric Granger
2024 B conf
Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport.
FG
Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger
2024 J jnl
Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport.
CoRR
Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Eric Granger
2024 A conf
Domain Generalization by Rejecting Extreme Augmentations.
WACV
Masih Aminbeidokhti, Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Eric Granger, Marco Pedersoli
2024 — conf
Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting.
WACV (Workshops)
David Latortue, Moetez Kdayem, Fidel A. Guerrero-Peña, Eric Granger, Marco Pedersoli
2024 J jnl
Facial expression analysis using Decomposed Multiscale Spatiotemporal Networks.
Expert Syst. Appl.
Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo López
2024 B conf
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues.
FG
Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger
2024 J jnl
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues.
CoRR
Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger
2024 A conf
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information.
WACV
Heitor Rapela Medeiros, Fidel A. Guerrero-Peña, Masih Aminbeidokhti, Thomas Dubail, Eric Granger, Marco Pedersoli
2024 J jnl
Hybrid Graph Representation and Learning Framework for High-Level Synthesis Design Space Exploration.
IEEE Access
Pouya Taghipour, Eric Granger, Yves Blaquière
2024 J jnl
Image Retrieval Methods in the Dissimilarity Space.
CoRR
Madhu Kiran, Kartikey Vishnu, Rafael M. O. Cruz, Eric Granger
2024 J jnl
Joint Multimodal Transformer for Dimensional Emotional Recognition in the Wild.
CoRR
Paul Waligora, Osama Zeeshan, Haseeb Aslam, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger
2024 — conf
Joint Multimodal Transformer for Emotion Recognition in the Wild.
CVPR Workshops
Paul Waligora, Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger
2024 — conf
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos.
ANNPR
Shakeeb Murtaza, Marco Pedersoli, Aydin Sarraf, Eric Granger
2024 J jnl
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos.
CoRR
Shakeeb Murtaza, Marco Pedersoli, Aydin Sarraf, Eric Granger
2024 J jnl
MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection.
CoRR
Heitor Rapela Medeiros, David Latortue, Fidel A. Guerrero-Peña, Eric Granger, Marco Pedersoli
2024 — conf
Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge.
ECCV (89)
Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel Alejandro Guerrero Peña, David Latortue, Eric Granger, Marco Pedersoli
2024 J jnl
Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge.
CoRR
Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel A. Guerrero-Peña, David Latortue, Eric Granger, Marco Pedersoli
2024 J jnl
Multi Teacher Privileged Knowledge Distillation for Multimodal Expression Recognition.
CoRR
Muhammad Haseeb Aslam, Marco Pedersoli, Alessandro Lameiras Koerich, Eric Granger
2024 A conf
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean Teacher.
WACV
Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger
2024 J jnl
Realistic Model Selection for Weakly Supervised Object Localization.
CoRR
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Eric Granger
2024 A* conf
SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution.
NeurIPS
Soufiane Belharbi, Mara KM Whitford, Phuong Hoang, Shakeeb Murtaza, Luke McCaffrey, Eric Granger
2024 J jnl
SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution.
CoRR
Soufiane Belharbi, Mara KM Whitford, Phuong Hoang, Shakeeb Murtaza, Luke McCaffrey, Eric Granger
2024 A* conf
SeTformer Is What You Need for Vision and Language.
AAAI
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg
2024 J jnl
SeTformer is What You Need for Vision and Language.
CoRR
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg
2024 — conf
Source-Free Domain Adaptation for YOLO Object Detection.
ECCV Workshops (18)
Simon Varailhon, Masih Aminbeidokhti, Marco Pedersoli, Eric Granger
2024 J jnl
Source-Free Domain Adaptation for YOLO Object Detection.
CoRR
Simon Varailhon, Masih Aminbeidokhti, Marco Pedersoli, Eric Granger
2024 — conf
Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology.
CVPR Workshops
Alexis Guichemerre, Soufiane Belharbi, Tsiry Mayet, Shakeeb Murtaza, Pourya Shamsolmoali, Luke McCaffrey, Eric Granger
2024 J jnl
Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology.
CoRR
Alexis Guichemerre, Soufiane Belharbi, Tsiry Mayet, Shakeeb Murtaza, Pourya Shamsolmoali, Luke McCaffrey, Eric Granger
2024 J jnl
Spatial Action Unit Cues for Interpretable Deep Facial Expression Recognition.
CoRR
Soufiane Belharbi, Marco Pedersoli, Alessandro Lameiras Koerich, Simon Bacon, Eric Granger
2024 J jnl
Special section: Best papers of the international conference on pattern recognition and artificial intelligence (ICPRAI) 2022.
Pattern Recognit. Lett.
Mounîm A. El-Yacoubi, Umapada Pal, Eric Granger, Pong Chi Yuen
2024 B conf
Subject-Based Domain Adaptation for Facial Expression Recognition.
FG
Muhammad Osama Zeeshan, Muhammad Haseeb Aslam, Soufiane Belharbi, Alessandro Lameiras Koerich, Marco Pedersoli, Simon Bacon, Eric Granger
2024 J jnl
TD-Paint: Faster Diffusion Inpainting Through Time Aware Pixel Conditioning.
CoRR
Tsiry Mayet, Pourya Shamsolmoali, Simon Bernard, Eric Granger, Romain Hérault, Clément Chatelain
2024 — conf
Textualized and Feature-Based Models for Compound Multimodal Emotion Recognition in the Wild.
ECCV Workshops (15)
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
2024 J jnl
Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild.
CoRR
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
2024 J jnl
Visual Modality Prompt for Adapting Vision-Language Object Detectors.
CoRR
Heitor Rapela Medeiros, Atif Belal, Srikanth Muralidharan, Eric Granger, Marco Pedersoli
2023 J jnl
Adaptive Generation of Privileged Intermediate Information for Visible-Infrared Person Re-Identification.
CoRR
Mahdi Alehdaghi, Arthur Josi, Pourya Shamsolmoali, Rafael M. O. Cruz, Eric Granger
2023 J jnl
Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attention.
IEEE Trans. Biom. Behav. Identity Sci.
R. Gnana Praveen, Patrick Cardinal, Eric Granger
2023 A conf
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID.
WACV
Djebril Mekhazni, Maximilien Dufau, Christian Desrosiers, Marco Pedersoli, Eric Granger
2023 — conf
Cascaded Zoom-in Detector for High Resolution Aerial Images.
CVPR Workshops
Akhil Meethal, Eric Granger, Marco Pedersoli
2023 J jnl
Cascaded Zoom-in Detector for High Resolution Aerial Images.
CoRR
Akhil Meethal, Eric Granger, Marco Pedersoli
2023 J jnl
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos.
CoRR
Soufiane Belharbi, Shakeeb Murtaza, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2023 J jnl
Density Crop-guided Semi-supervised Object Detection in Aerial Images.
CoRR
Akhil Meethal, Eric Granger, Marco Pedersoli
2023 J jnl
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object Localization.
CoRR
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger
2023 J jnl
DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization.
Image Vis. Comput.
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger
2023 — conf
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization.
WACV (Workshops)
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger
2023 J jnl
Domain Generalization by Rejecting Extreme Augmentations.
CoRR
Masih Aminbeidokhti, Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Eric Granger, Marco Pedersoli
2023 J jnl
Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting.
CoRR
David Latortue, Moetez Kdayem, Fidel A. Guerrero-Peña, Eric Granger, Marco Pedersoli
2023 J jnl
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal Data.
CoRR
Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger
2023 J jnl
GEN: Generative Equivariant Networks for Diverse Image-to-Image Translation.
IEEE Trans. Cybern.
Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Salvador García, Eric Granger, Jie Yang
2023 J jnl
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information.
CoRR
Heitor Rapela Medeiros, Fidel A. Guerrero-Peña, Masih Aminbeidokhti, Thomas Dubail, Eric Granger, Marco Pedersoli
2023 Misc conf
Image Completion Via Dual-Path Cooperative Filtering.
ICASSP
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger
2023 J jnl
Image Completion via Dual-path Cooperative Filtering.
CoRR
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger
2023 J jnl
MDN: A Deep Maximization-Differentiation Network for Spatio-Temporal Depression Detection.
IEEE Trans. Affect. Comput.
Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo López
2023 J jnl
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacher.
CoRR
Atif Belal, Akhil Meethal, Francisco Perdigon Romero, Marco Pedersoli, Eric Granger
2023 — conf
Multimodal Data Augmentation for Visual-Infrared Person ReID with Corrupted Data.
WACV (Workshops)
Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger
2023 J jnl
Pain Analysis using Adaptive Hierarchical Spatiotemporal Dynamic Imaging.
CoRR
Issam Serraoui, Eric Granger, Abdenour Hadid, Abdelmalik Taleb-Ahmed
2023 — conf
Privileged Knowledge Distillation for Dimensional Emotion Recognition in the Wild.
CVPR Workshops
Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Eric Granger
2023 A* conf
Re-basin via implicit Sinkhorn differentiation.
CVPR
Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
2023 Misc conf
Recursive Joint Attention for Audio-Visual Fusion in Regression Based Emotion Recognition.
ICASSP
R. Gnana Praveen, Eric Granger, Patrick Cardinal
2023 J jnl
Recursive Joint Attention for Audio-Visual Fusion in Regression based Emotion Recognition.
CoRR
R. Gnana Praveen, Eric Granger, Patrick Cardinal
2023 J jnl
Subject-Based Domain Adaptation for Facial Expression Recognition.
CoRR
Muhammad Osama Zeeshan, Muhammad Haseeb Aslam, Soufiane Belharbi, Alessandro L. Koerich, Marco Pedersoli, Simon Bacon, Eric Granger
2023 A conf
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos.
WACV
Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2023 — conf
TransInpaint: Transformer-based Image Inpainting with Context Adaptation.
ICCV (Workshops)
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger
2023 A conf
TransVLAD: Multi-Scale Attention-Based Global Descriptors for Visual Geo-Localization.
WACV
Yifan Xu, Pourya Shamsolmoali, Eric Granger, Claire Nicodeme, Laurent Gardes, Jie Yang
2022 J jnl
A Deep Multiscale Spatiotemporal Network for Assessing Depression From Facial Dynamics.
IEEE Trans. Affect. Comput.
Wheidima Carneiro de Melo, Eric Granger, Abdenour Hadid
2022 — conf
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition.
CVPR Workshops
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
2022 J jnl
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition.
CoRR
Gnana Praveen Rajasekhar, Wheidima Carneiro de Melo, Nasib Ullah, Haseeb Aslam, Osama Zeeshan, Théo Denorme, Marco Pedersoli, Alessandro L. Koerich, Patrick Cardinal, Eric Granger
2022 J jnl
Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attention.
CoRR
R. Gnana Praveen, Eric Granger, Patrick Cardinal
2022 J jnl
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID.
CoRR
Djebril Mekhazni, Maximilien Dufau, Christian Desrosiers, Marco Pedersoli, Eric Granger
2022 J jnl
Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization.
CoRR
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger
2022 — conf
Constrained deep networks: Lagrangian optimization via Log-barrier extensions.
EUSIPCO
Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed
2022 J jnl
Cross-modal distillation for RGB-depth person re-identification.
Comput. Vis. Image Underst.
Frank M. Hafner, Amran Bhuyian, Julian F. P. Kooij, Eric Granger
2022 J jnl
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty.
IEEE Trans. Medical Imaging
Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022 J jnl
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization.
CoRR
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger
2022 B conf
Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking.
IJCNN
Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E. Cruz, Louis-Antoine Blais-Morin, Eric Granger
2022 J jnl
Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking.
CoRR
Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E. Cruz, Louis-Antoine Blais-Morin, Eric Granger
2022 C conf
Enhanced Single-Shot Detector for Small Object Detection in Remote Sensing Images.
IGARSS
Pourya Shamsolmoali, Masoumeh Zareapoor, Jie Yang, Eric Granger, Jocelyn Chanussot
2022 J jnl
Enhanced Single-shot Detector for Small Object Detection in Remote Sensing Images.
CoRR
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Jocelyn Chanussot, Jie Yang
2022 A conf
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling.
WACV
Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022 J jnl
Facial Expression Analysis Using Decomposed Multiscale Spatiotemporal Networks.
CoRR
Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo López
2022 — conf
Generative Target Update for Adaptive Siamese Tracking.
ICPRAI (1)
Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E. Cruz, Louis-Antoine Blais-Morin, Eric Granger
2022 J jnl
Generative Target Update for Adaptive Siamese Tracking.
CoRR
Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E. Cruz, Louis-Antoine Blais-Morin, Eric Granger
2022 J jnl
Incremental multi-target domain adaptation for object detection with efficient domain transfer.
Pattern Recognit.
Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
2022 B conf
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-Identification.
ICIP
Félix Remigereau, Djebril Mekhazni, Sajjad Abdoli, Le Thanh Nguyen-Meidine, Rafael M. O. Cruz, Eric Granger
2022 J jnl
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-Identification.
CoRR
Félix Remigereau, Djebril Mekhazni, Sajjad Abdoli, Le Thanh Nguyen-Meidine, Rafael M. O. Cruz, Eric Granger
2022 J jnl
Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images.
CoRR
Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022 J jnl
Multimodal Data Augmentation for Visual-Infrared Person ReID with Corrupted Data.
CoRR
Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger
2022 — conf
Negative Evidence Matters in Interpretable Histology Image Classification.
MIDL
Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022 J jnl
Negative Evidence Matters in Interpretable Histology Image Classification.
CoRR
Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022 — ed.
Pattern Recognition and Artificial Intelligence - Third International Conference, ICPRAI 2022, Paris, France, June 1-3, 2022, Proceedings, Part I
ICPRAI (1)
Mounim A. El-Yacoubi, Eric Granger, Pong Chi Yuen, Umapada Pal, Nicole Vincent
2022 — ed.
Pattern Recognition and Artificial Intelligence - Third International Conference, ICPRAI 2022, Paris, France, June 1-3, 2022, Proceedings, Part II
ICPRAI (2)
Mounim A. El-Yacoubi, Eric Granger, Pong Chi Yuen, Umapada Pal, Nicole Vincent
2022 — conf
Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras.
ECCV Workshops (5)
Thomas Dubail, Fidel Alejandro Guerrero Peña, Heitor Rapela Medeiros, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
2022 J jnl
Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras.
CoRR
Thomas Dubail, Fidel Alejandro Guerrero Peña, Heitor Rapela Medeiros, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
2022 J jnl
Re-basin via implicit Sinkhorn differentiation.
CoRR
Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli
2022 B conf
Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network.
ICPR
Pourya Shamsolmoali, Masoumeh Zareapoor, Jie Yang, Eric Granger, Huiyu Zhou
2022 J jnl
Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network.
CoRR
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou
2022 B conf
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes.
IJCNN
Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger
2022 J jnl
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes.
CoRR
Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger
2022 J jnl
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos.
CoRR
Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022 — conf
The Tenth Visual Object Tracking VOT2022 Challenge Results.
ECCV Workshops (8)
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 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 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
2022 — conf
Visible-Infrared Person Re-Identification Using Privileged Intermediate Information.
ECCV Workshops (5)
Mahdi Alehdaghi, Arthur Josi, Rafael M. O. Cruz, Eric Granger
2022 J jnl
Visible-Infrared Person Re-Identification Using Privileged Intermediate Information.
CoRR
Mahdi Alehdaghi, Arthur Josi, Rafael M. O. Cruz, Eric Granger
2022 J jnl
Wasserstein Embedding for Capsule Learning.
CoRR
Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Eric Granger, Salvador García
2021 A* conf
Augmented Lagrangian Adversarial Attacks.
ICCV
Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed
2021 J jnl
Boundary loss for highly unbalanced segmentation.
Medical Image Anal.
Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed
2021 B conf
Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition.
FG
R. Gnana Praveen, Eric Granger, Patrick Cardinal
2021 J jnl
Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition.
CoRR
Gnana Praveen R., Eric Granger, Patrick Cardinal
2021 A conf
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator.
WACV
Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2021 J jnl
Deep domain adaptation with ordinal regression for pain assessment using weakly-labeled videos.
Image Vis. Comput.
Gnana Praveen Rajasekhar, Eric Granger, Patrick Cardinal
2021 J jnl
Exploiting prunability for person re-identification.
EURASIP J. Image Video Process.
Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger
2021 J jnl
F-CAM: Full Resolution CAM via Guided Parametric Upscaling.
CoRR
Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2021 J jnl
Flow guided mutual attention for person re-identification.
Image Vis. Comput.
Madhu Kiran, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Louis-Antoine Blais-Morin, Ismail Ben Ayed, Eric Granger
2021 A conf
Holistic Guidance for Occluded Person Re-Identification.
BMVC
Madhu Kiran, Gnana Praveen Rajasekhar, Le Thanh Nguyen-Meidine, Soufiane Belharbi, Louis-Antoine Blais-Morin, Eric Granger
2021 J jnl
Holistic Guidance for Occluded Person Re-Identification.
CoRR
Madhu Kiran, R. Gnana Praveen, Le Thanh Nguyen-Meidine, Soufiane Belharbi, Louis-Antoine Blais-Morin, Eric Granger
2021 J jnl
Image synthesis with adversarial networks: A comprehensive survey and case studies.
Inf. Fusion
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou, Ruili Wang, M. Emre Celebi, Jie Yang
2021 J jnl
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer.
CoRR
Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
2021 J jnl
Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains.
CoRR
Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
2021 J jnl
Knowledge distillation methods for efficient unsupervised adaptation across multiple domains.
Image Vis. Comput.
Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
2021 A conf
Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition.
WACV
Théo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger
2021 J jnl
Transductive Few-Shot Learning: Clustering is All You Need?
CoRR
Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed
2021 A conf
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation.
WACV
Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
2021 A* conf
Variational Fair Clustering.
AAAI
Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed
2021 J jnl
Weakly Supervised Learning for Facial Behavior Analysis : A Review.
CoRR
Gnana Praveen R., Eric Granger, Patrick Cardinal
2020 — conf
A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses.
ECCV (6)
Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed
2020 J jnl
A paired sparse representation model for robust face recognition from a single sample.
Pattern Recognit.
Fania Mokhayeri, Eric Granger
2020 J jnl
Augmented Lagrangian Adversarial Attacks.
CoRR
Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed
2020 — conf
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision.
MIDL
Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed
2020 J jnl
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision.
CoRR
Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed
2020 J jnl
Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks.
CoRR
Thomas Teixeira, Eric Granger, Alessandro Lameiras Koerich
2020 B conf
Convolutional STN for Weakly Supervised Object Localization.
ICPR
Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger
2020 A conf
Cross-Domain Face Synthesis using a Controllable GAN.
WACV
Fania Mokhayeri, Kaveh Kamali, Eric Granger
2020 J jnl
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator.
CoRR
Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2020 J jnl
Deep Domain Adaptation for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labelled Videos.
CoRR
Gnana Praveen R., Eric Granger, Patrick Cardinal
2020 J jnl
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty.
CoRR
Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2020 B conf
Deep Weakly Supervised Domain Adaptation for Pain Localization in Videos.
FG
R. Gnana Praveen, Eric Granger, Patrick Cardinal
2020 B conf
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video Face Recognition.
IJCNN
George S. Eskander Ekladious, Hugo Lemoine, Eric Granger, Kaveh Kamali, Salim Moudache
2020 J jnl
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition.
CoRR
George S. Eskander Ekladious, Hugo Lemoine, Eric Granger, Kaveh Kamali, Salim Moudache
2020 Misc conf
Encoding Temporal Information For Automatic Depression Recognition From Facial Analysis.
ICASSP
Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo López
2020 J jnl
F-measure curves: A tool to visualize classifier performance under imbalance.
Pattern Recognit.
Roghayeh Soleymani, Eric Granger, Giorgio Fumera
2020 J jnl
Feature Learning from Spectrograms for Assessment of Personality Traits.
IEEE Trans. Affect. Comput.
Marc-André Carbonneau, Eric Granger, Yazid Attabi, Ghyslain Gagnon
2020 J jnl
Flow-Guided Attention Networks for Video-Based Person Re-Identification.
CoRR
Madhu Kiran, Amran Bhuiyan, Louis-Antoine Blais-Morin, Mehrsan Javan, Ismail Ben Ayed, Eric Granger
2020 J jnl
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies.
CoRR
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou, Ruili Wang, M. Emre Celebi, Jie Yang
2020 B conf
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation.
IJCNN
Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin
2020 J jnl
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation.
CoRR
Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin
2020 A* conf
Laplacian Regularized Few-Shot Learning.
ICML
Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed
2020 J jnl
Laplacian Regularized Few-Shot Learning.
CoRR
Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed
2020 J jnl
Metric learning: cross-entropy vs. pairwise losses.
CoRR
Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed
2020 A conf
Pose Guided Gated Fusion for Person Re-identification.
WACV
Amran Bhuiyan, Yang Liu, Parthipan Siva, Mehrsan Javan, Ismail Ben Ayed, Eric Granger
2020 B conf
Progressive Gradient Pruning for Classification, Detection and Domain Adaptation.
ICPR
Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Marco Pedersoli, Louis-Antoine Blais-Morin
2020 J jnl
Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition.
CoRR
Théo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger
2020 — conf
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification.
ECCV (27)
Djebril Mekhazni, Amran Bhuiyan, George S. Eskander Ekladious, Eric Granger
2020 J jnl
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification.
CoRR
Djebril Mekhazni, Amran Bhuiyan, George S. Eskander Ekladious, Eric Granger
2020 J jnl
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation.
CoRR
Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
2020 J jnl
Video Face Recognition Using Siamese Networks With Block-Sparsity Matching.
IEEE Trans. Biom. Behav. Identity Sci.
Fania Mokhayeri, Eric Granger
2019 J jnl
A Paired Sparse Representation Model for Robust Face Recognition from a Single Sample.
CoRR
Fania Mokhayeri, Eric Granger
2019 J jnl
A Survey of Pruning Methods for Efficient Person Re-identification Across Domains.
CoRR
Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger
2019 J jnl
An Improved Trade-off Between Accuracy and Complexity with Progressive Gradient Pruning.
CoRR
Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Louis-Antoine Blais-Morin
2019 — conf
Audio-Visual Kinship Verification in the Wild.
ICB
Xiaoting Wu, Eric Granger, Tomi H. Kinnunen, Xiaoyi Feng, Abdenour Hadid
2019 J jnl
Audio-Visual Kinship Verification.
CoRR
Xiaoting Wu, Eric Granger, Xiaoyi Feng
2019 J jnl
Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification Problems.
IEEE Trans. Neural Networks Learn. Syst.
Marc-Andre Carbonneau, Eric Granger, Ghyslain Gagnon
2019 — conf
Boundary loss for highly unbalanced segmentation.
MIDL
Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed
2019 J jnl
Clustering with Fairness Constraints: A Flexible and Scalable Approach.
CoRR
Imtiaz Masud Ziko, Eric Granger, Jing Yuan, Ismail Ben Ayed
2019 B conf
Combining Global and Local Convolutional 3D Networks for Detecting Depression from Facial Expressions.
FG
Wheidima Carneiro de Melo, Eric Granger, Abdenour Hadid
2019 J jnl
Constrained-CNN losses for weakly supervised segmentation.
Medical Image Anal.
Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed
2019 J jnl
Convolutional STN for Weakly Supervised Object Localization and Beyond.
CoRR
Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger
2019 J jnl
Cross-Domain Face Synthesis using a Controllable GAN.
CoRR
Fania Mokhayeri, Kaveh Kamali, Eric Granger
2019 J jnl
Curriculum semi-supervised segmentation.
CoRR
Hoel Kervadec, Jose Dolz, Eric Granger, Ismail Ben Ayed
2019 A* conf
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses.
CVPR
Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger
2019 J jnl
Deep Ordinal Classification with Inequality Constraints.
CoRR
Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2019 J jnl
Deep Weakly-Supervised Domain Adaptation for Pain Localization in Videos.
CoRR
Gnana Praveen R., Eric Granger, Patrick Cardinal
2019 J jnl
Deep weakly-supervised learning methods for classification and localization in histology images: a survey.
CoRR
Jérôme Rony, Soufiane Belharbi, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2019 B conf
Depression Detection Based on Deep Distribution Learning.
ICIP
Wheidima Carneiro de Melo, Eric Granger, Abdenour Hadid
2019 J jnl
Domain-Specific Face Synthesis for Video Face Recognition From a Single Sample Per Person.
IEEE Trans. Inf. Forensics Secur.
Fania Mokhayeri, Eric Granger, Guillaume-Alexandre Bilodeau
2019 — conf
Emotion Recognition with Spatial Attention and Temporal Softmax Pooling.
ICIAR (1)
Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger
2019 J jnl
Emotion Recognition with Spatial Attention and Temporal Softmax Pooling.
CoRR
Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger
2019 J jnl
Log-barrier constrained CNNs.
CoRR
Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed
2019 J jnl
Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition.
CoRR
Juan D. S. Ortega, Mohammed Senoussaoui, Eric Granger, Marco Pedersoli, Patrick Cardinal, Alessandro L. Koerich
2019 B conf
On the Interaction Between Deep Detectors and Siamese Trackers in Video Surveillance.
AVSS
Madhu Kiran, Vivek Tiwari, Le Thanh Nguyen-Meidine, Louis-Antoine Blais-Morin, Eric Granger
2019 J jnl
On the Interaction Between Deep Detectors and Siamese Trackers in Video Surveillance.
CoRR
Madhu Kiran, Vivek Tiwari, Le Thanh Nguyen-Meidine, Eric Granger
2019 B conf
RGB-Depth Cross-Modal Person Re-identification.
AVSS
Frank M. Hafner, Amran Bhuiyan, Julian F. P. Kooij, Eric Granger
2019 B conf
Robust Video Face Recognition From a Single Still Using a Synthetic Plus Variational Model.
FG
Fania Mokhayeri, Eric Granger
2019 J jnl
Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework.
CoRR
Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2018 J jnl
A Comparison of CNN-based Face and Head Detectors for Real-Time Video Surveillance Applications.
CoRR
Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Louis-Antoine Blais-Morin
2018 J jnl
A Cross-Modal Distillation Network for Person Re-identification in RGB-Depth.
CoRR
Frank Hafner, Amran Bhuiyan, Julian F. P. Kooij, Eric Granger
2018 J jnl
Boundary loss for highly unbalanced segmentation.
CoRR
Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed
2018 J jnl
Constrained-CNN losses forweakly supervised segmentation.
CoRR
Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed
2018 B conf
Contextual Weighting of Patches for Local Matching in Still-to-Video Face Recognition.
FG
Ibtihel Amara, Eric Granger, Abdenour Hadid
2018 J jnl
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses.
CoRR
Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger
2018 J jnl
Deep Learning Architectures for Face Recognition in Video Surveillance.
CoRR
Saman Bashbaghi, Eric Granger, Robert Sabourin, Mostafa Parchami
2018 J jnl
Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per Person.
CoRR
Fania Mokhayeri, Eric Granger, Guillaume-Alexandre Bilodeau
2018 — conf
F-Measure Curves for Visualizing Classifier Performance with Imbalanced Data.
ANNPR
Roghayeh Soleymani, Eric Granger, Giorgio Fumera
2018 — ed.
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
CVII-STENT/LABELS@MICCAI
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
2018 J jnl
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks.
CoRR
Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Eric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu
2018 J jnl
Multiple instance learning: A survey of problem characteristics and applications.
Pattern Recognit.
Marc-André Carbonneau, Veronika Cheplygina, Eric Granger, Ghyslain Gagnon
2018 J jnl
Progressive boosting for class imbalance and its application to face re-identification.
Expert Syst. Appl.
Roghayeh Soleymani, Eric Granger, Giorgio Fumera
2018 A* conf
Scalable Laplacian K-modes.
NeurIPS
Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed
2018 J jnl
Scalable Laplacian K-modes.
CoRR
Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed
2018 J jnl
Tracking using Numerous Anchor Points.
Mach. Vis. Appl.
Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Eric Granger
2018 — conf
Using Adaptive Trackers for Video Face Recognition from a Single Sample Per Person.
IPTA
Francis Charette Migneault, Eric Granger, Fania Mokhayeri
2017 — conf
A comparison of CNN-based face and head detectors for real-time video surveillance applications.
IPTA
Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Louis-Antoine Blais-Morin
2017 J jnl
Bag-Level Aggregation for Multiple Instance Active Learning in Instance Classification Problems.
CoRR
Marc-André Carbonneau, Eric Granger, Ghyslain Gagnon
2017 B conf
CNNs with cross-correlation matching for face recognition in video surveillance using a single training sample per person.
AVSS
Mostafa Parchami, Saman Bashbaghi, Eric Granger
2017 C conf
Dynamic Selection of Exemplar-SVMs for Watch-list Screening through Domain Adaptation.
ICPRAM
Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau
2017 J jnl
Dynamic ensembles of exemplar-SVMs for still-to-video face recognition.
Pattern Recognit.
Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau
2017 — ed.
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
CVII-STENT/LABELS@MICCAI
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
2017 J jnl
Learning Global-Local Distance Metrics for Signature-Based Biometric Cryptosystems.
Cryptogr.
George S. Eskander Ekladious, Robert Sabourin, Eric Granger
2017 J jnl
Modeling Information Flow Through Deep Neural Networks.
CoRR
Ahmad Chaddad, Behnaz Naisiri, Marco Pedersoli, Eric Granger, Christian Desrosiers, Matthew Toews
2017 — conf
Multi-orientation Scene Text Detection Leveraging Background Suppression.
ICIG (1)
Xihan Wang, Xiaoyi Feng, Zhaoqiang Xia, Jinye Peng, Eric Granger
2017 J jnl
Progressive Boosting for Class Imbalance.
CoRR
Roghayeh Soleymani, Eric Granger, Giorgio Fumera
2017 J jnl
Robust Face Tracking using Multiple Appearance Models and Graph Relational Learning.
CoRR
Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Eric Granger
2017 J jnl
Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations.
Mach. Vis. Appl.
Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau
2017 J jnl
Tracking using Numerous Anchor points.
CoRR
Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Eric Granger
2017 B conf
Using deep autoencoders to learn robust domain-invariant representations for still-to-video face recognition.
AVSS
Mostafa Parchami, Saman Bashbaghi, Eric Granger, Saif Iftekar Sayed
2017 B conf
Video-based face recognition using ensemble of haar-like deep convolutional neural networks.
IJCNN
Mostafa Parchami, Saman Bashbaghi, Eric Granger
2016 — ch.
A Dual-Purpose Memory Approach for Dynamic Particle Swarm Optimization of Recurrent Problems.
Recent Advances in Computational Intelligence in Defense and Security
Eduardo Vellasques, Robert Sabourin, Eric Granger
2016 J jnl
Adaptive appearance model tracking for still-to-video face recognition.
Pattern Recognit.
M. Ali Akber Dewan, Eric Granger, Gian Luca Marcialis, Robert Sabourin, Fabio Roli
2016 — conf
An Extended Sparse Classification Framework for Domain Adaptation in Video Surveillance.
ACCV Workshops (3)
Farshad Nourbakhsh, Eric Granger, Giorgio Fumera
2016 C conf
Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification.
ICPRAM
Roghayeh Soleymani, Eric Granger, Giorgio Fumera
2016 — ch.
Efficient identification of Faces in video Streams using low-Power Multi-Core Devices.
Handbook of Pattern Recognition and Computer Vision
Donavan Prieur, Eric Granger, Yvon Savaria, Claude Thibeault
2016 J jnl
Feature Learning from Spectrograms for Assessment of Personality Traits.
CoRR
Marc-André Carbonneau, Eric Granger, Yazid Attabi, Ghyslain Gagnon
2016 C conf
Learning of Graph Compressed Dictionaries for Sparse Representation Classification.
ICPRAM
Farshad Nourbakhsh, Eric Granger
2016 B conf
Loss factors for learning Boosting ensembles from imbalanced data.
ICPR
Roghayeh Soleymani, Eric Granger, Giorgio Fumera
2016 J jnl
Multiple Instance Learning: A Survey of Problem Characteristics and Applications.
CoRR
Marc-André Carbonneau, Veronika Cheplygina, Eric Granger, Ghyslain Gagnon
2016 — conf
Recognizing People and Their Activities in Surveillance Video: Technology State of Readiness and Roadmap.
CRV
Dmitry O. Gorodnichy, David Bissessar, Eric Granger, Robert Laganière
2016 J jnl
Robust multiple-instance learning ensembles using random subspace instance selection.
Pattern Recognit.
Marc-André Carbonneau, Eric Granger, Alexandre J. Raymond, Ghyslain Gagnon
2016 — conf
Score thresholding for accurate instance classification in multiple instance learning.
IPTA
Marc-Andre Carbonneau, Eric Granger, Ghyslain Gagnon
2016 B conf
Witness identification in multiple instance learning using random subspaces.
ICPR
Marc-Andre Carbonneau, Eric Granger, Ghyslain Gagnon
2015 — conf
Adaptive Classification for Person Re-identification Driven by Change Detection.
ICPRAM (1)
Christophe Pagano, Eric Granger, Robert Sabourin, Gian Luca Marcialis, Fabio Roli
2015 J jnl
Adaptive skew-sensitive ensembles for face recognition in video surveillance.
Pattern Recognit.
Miguel De-la-Torre, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy
2015 B conf
Adaptive skew-sensitive fusion of ensembles and their application to face re-identification.
IJCNN
Miguel De-la-Torre, Eric Granger, Robert Sabourin
2015 J jnl
An adaptive ensemble-based system for face recognition in person re-identification.
Mach. Vis. Appl.
Miguel De-la-Torre, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy
2015 B conf
Contextual object tracker with structure encoding.
ICIP
Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Eric Granger
2015 B conf
Ensembles of exemplar-SVMs for video face recognition from a single sample per person.
AVSS
Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau
2015 J jnl
Individual-specific management of reference data in adaptive ensembles for face re-identification.
IET Comput. Vis.
Miguel De-la-Torre, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy
2015 J jnl
Partially-supervised learning from facial trajectories for face recognition in video surveillance.
Inf. Fusion
Miguel De-la-Torre, Eric Granger, Paulo Vinicius Wolski Radtke, Robert Sabourin, Dmitry O. Gorodnichy
2015 C conf
Real-time visual play-break detection in sport events using a context descriptor.
ISCAS
Marc-Andre Carbonneau, Alexandre J. Raymond, Eric Granger, Ghyslain Gagnon
2015 — conf
Spatio-Temporal Fusion for Learning of Regions of Interests Over Multiple Video Streams.
ISVC (2)
Samaneh Khoshrou, Jaime S. Cardoso, Eric Granger, Luís Filipe Teixeira
2015 — conf
Super-resolution pipeline for fast adjudication in watchlist screening.
IPTA
Vitaliy Tayanov, Eric Granger, Miguel Bordallo López, Abdenour Hadid
2015 B conf
Synthetic face generation under various operational conditions in video surveillance.
ICIP
Fania Mokhayeri, Eric Granger, Guillaume-Alexandre Bilodeau
2015 — conf
Video Face Recognition From A Single Still Image Using an Adaptive Appearance Model Tracker.
SSCI
M. Ali Akber Dewan, Eric Granger, Robert Sabourin, Gian Luca Marcialis, Fabio Roli
2014 J jnl
A bio-cryptographic system based on offline signature images.
Inf. Sci.
George S. Eskander, Robert Sabourin, Eric Granger
2014 J jnl
Adaptive ensembles for face recognition in changing video surveillance environments.
Inf. Sci.
Christophe Pagano, Eric Granger, Robert Sabourin, Gian Luca Marcialis, Fabio Roli
2014 J jnl
Automatic Image Registration in Infrared-Visible Videos using Polygon Vertices.
CoRR
Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Eric Granger
2014 — conf
Dynamic Weighted Fusion of Adaptive Classifier Ensembles Based on Changing Data Streams.
ANNPR
Christophe Pagano, Eric Granger, Robert Sabourin, Gian Luca Marcialis, Fabio Roli
2014 — conf
Efficient adaptive face recognition systems based on capture conditions.
CIBIM
Christophe Pagano, Eric Granger, Robert Sabourin, Ajita Rattani, Gian Luca Marcialis, Fabio Roli
2014 B conf
Improving Signature-Based Biometric Cryptosystems Using Cascaded Signature Verification-Fuzzy Vault (SV-FV) Approach.
ICFHR
George S. Eskander, Robert Sabourin, Eric Granger
2014 J jnl
Offline Signature-Based Fuzzy Vault (OSFV: Review and New Results.
CoRR
George S. Eskander, Robert Sabourin, Eric Granger
2014 — conf
Offline signature-based fuzzy vault: A review and new results.
CIBIM
George S. Eskander, Robert Sabourin, Eric Granger
2014 — conf
On the Effects of Illumination Normalization with LBP-Based Watchlist Screening.
ECCV Workshops (2)
Ibtihel Amara, Eric Granger, Abdenour Hadid
2014 J jnl
Rapid blockwise multi-resolution clustering of facial images for intelligent watermarking.
Mach. Vis. Appl.
Bassem S. Rabil, Robert Sabourin, Eric Granger
2014 B conf
Self-Updating with Facial Trajectories for Video-to-Video Face Recognition.
ICPR
Miguel De-la-Torre, Eric Granger, Paulo Vinicius Wolski Radtke, Robert Sabourin, Dmitry O. Gorodnichy
2014 J jnl
Skew-sensitive boolean combination for adaptive ensembles - An application to face recognition in video surveillance.
Inf. Fusion
Paulo Vinicius Wolski Radtke, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy
2014 — conf
Target-based evaluation of face recognition technology for video surveillance applications.
CIBIM
Dmitry O. Gorodnichy, Eric Granger
2014 B conf
Watch-List Screening Using Ensembles Based on Multiple Face Representations.
ICPR
Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau
2013 — conf
A Dissimilarity-Based Approach for Biometric Fuzzy Vaults-Application to Handwritten Signature Images.
ICIAP Workshops
George S. Eskander, Robert Sabourin, Eric Granger
2013 — conf
A comparison of adaptive appearance methods for tracking faces in video surveillance.
ICDP
M. Ali Akber Dewan, Eric Granger, Fabio Roli, Robert Sabourin, Gian Luca Marcialis
2013 — conf
Adaptive Ensemble Selection for Face Re-identification under Class Imbalance.
MCS
Paulo Vinicius Wolski Radtke, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy
2013 — conf
An individual-specific strategy for management of reference data in adaptive ensembles for person re-identification.
ICDP
Miguel De-la-Torre, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy
2013 J jnl
DS-DPSO: A dual surrogate approach for intelligent watermarking of bi-tonal document image streams.
Expert Syst. Appl.
Eduardo Vellasques, Robert Sabourin, Eric Granger
2013 — conf
Dissimilarity Representation for Handwritten Signature Verification.
AFHA
George S. Eskander, Robert Sabourin, Eric Granger
2013 J jnl
Dynamic multi-objective evolution of classifier ensembles for video face recognition.
Appl. Soft Comput.
Jean-François Connolly, Eric Granger, Robert Sabourin
2013 C conf
Evolving Classifier Ensembles using Dynamic Multi-objective Swarm Intelligence.
ICPRAM
Jean-François Connolly, Eric Granger, Robert Sabourin
2013 J jnl
Fast intelligent watermarking of heterogeneous image streams through mixture modeling of PSO populations.
Appl. Soft Comput.
Eduardo Vellasques, Robert Sabourin, Eric Granger
2013 J jnl
Hybrid writer-independent-writer-dependent offline signature verification system.
IET Biom.
George S. Eskander, Robert Sabourin, Eric Granger
2013 J jnl
Incremental learning of privacy-preserving Bayesian networks.
Appl. Soft Comput.
Saeed Samet, Ali Miri, Eric Granger
2013 J jnl
Multi-feature extraction and selection in writer-independent off-line signature verification.
Int. J. Document Anal. Recognit.
Dominique Rivard, Eric Granger, Robert Sabourin
2013 — conf
On the Dissimilarity Representation and Prototype Selection for Signature-Based Bio-cryptographic Systems.
SIMBAD
George S. Eskander, Robert Sabourin, Eric Granger
2013 — conf
Securing Mass Biometric Templates Using Blockwise Multi-Resolution Clustering.
MLDM Posters
Bassem S. Rabil, Robert Sabourin, Eric Granger
2013 J jnl
Securing high resolution grayscale facial captures using a blockwise coevolutionary GA.
Expert Syst. Appl.
Bassem S. Rabil, Safa Tliba, Eric Granger, Robert Sabourin
2013 — conf
Towards Automated Transactions Based on the Offline Handwritten Signatures.
MLDM Posters
George S. Eskander, Robert Sabourin, Eric Granger
2012 — conf
A comparison of adaptive matchers for screening of faces in video surveillance.
CISDA
Miguel De-la-Torre, Paulo Vinicius Wolski Radtke, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy
2012 B conf
A dual-staged classification-selection approach for automated update of biometric templates.
ICPR
Ajita Rattani, Gian Luca Marcialis, Eric Granger, Fabio Roli
2012 J jnl
A survey of techniques for incremental learning of HMM parameters.
Inf. Sci.
Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin
2012 B conf
Adaptation of Writer-Independent Systems for Offline Signature Verification.
ICFHR
George S. Eskander, Robert Sabourin, Eric Granger
2012 J jnl
Adaptive ROC-based ensembles of HMMs applied to anomaly detection.
Pattern Recognit.
Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin
2012 B conf
Adaptive selection of ensembles for imbalanced class distributions.
ICPR
Paulo Vinicius Wolski Radtke, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy
2012 J jnl
An adaptive classification system for video-based face recognition.
Inf. Sci.
Jean-François Connolly, Eric Granger, Robert Sabourin
2012 B conf
Detector ensembles for face recognition in video surveillance.
IJCNN
Christophe Pagano, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy
2012 J jnl
Dynamic selection of generative-discriminative ensembles for off-line signature verification.
Pattern Recognit.
Luana Batista, Eric Granger, Robert Sabourin
2012 J jnl
Evolution of heterogeneous ensembles through dynamic particle swarm optimization for video-based face recognition.
Pattern Recognit.
Jean-François Connolly, Eric Granger, Robert Sabourin
2012 J jnl
Fusion of biometric systems using Boolean combination: an application to iris-based authentication.
Int. J. Biom.
Eric Granger, Wael Khreich, Robert Sabourin, Dmitry O. Gorodnichy
2012 A conf
Gaussian mixture modeling for dynamic particle swarm optimization of recurrent problems.
GECCO
Eduardo Vellasques, Robert Sabourin, Eric Granger
2012 J jnl
Graphical EM for on-line learning of grammatical probabilities in radar Electronic Support.
Appl. Soft Comput.
Guillaume Latombe, Eric Granger, Fred A. Dilkes
2012 B conf
Incremental update of biometric models in face-based video surveillance.
IJCNN
Miguel De-la-Torre, Eric Granger, Paulo Vinicius Wolski Radtke, Robert Sabourin, Dmitry O. Gorodnichy
2012 B conf
On the correlation between genotype and classifier diversity.
ICPR
Jean-François Connolly, Eric Granger, Robert Sabourin
2012 — conf
Why template self-update should work in biometric authentication systems?
ISSPA
Gian Luca Marcialis, Luca Didaci, Alessandro Pisano, Eric Granger, Fabio Roli
2011 J jnl
A high throughput system for intelligent watermarking of bi-tonal images.
Appl. Soft Comput.
Eduardo Vellasques, Robert Sabourin, Eric Granger
2011 — conf
Comparing dynamic PSO algorithms for adapting classifier ensembles in video-based face recognition.
CIBIM
Jean-François Connolly, Eric Granger, Robert Sabourin
2011 — conf
Dynamic Ensemble Selection for Off-Line Signature Verification.
MCS
Luana Batista, Eric Granger, Robert Sabourin
2011 — conf
Exploring the upper bound performance limit of iris biometrics using score calibration and fusion.
CIBIM
Dmitry O. Gorodnichy, Elan Dubrofsky, Richard Hoshino, Wael Khreich, Eric Granger, Robert Sabourin
2011 — conf
Impact of watermarking on offline signature verification in intelligent bio-watermarking systems.
CIBIM
Bassem S. Rabil, Robert Sabourin, Eric Granger
2011 — conf
Incremental Boolean Combination of Classifiers.
MCS
Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin
2011 — conf
Signature based Fuzzy Vaults with Boosted Feature Selection.
CIBIM
George S. Eskander, Robert Sabourin, Eric Granger
2011 — conf
Watermarking Stack of Grayscale Face Images as Dynamic Multi-Objective Optimization Problem.
MDA
Bassem S. Rabil, Robert Sabourin, Eric Granger
2010 — conf
A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity Representation.
MCS
Luana Batista, Eric Granger, Robert Sabourin
2010 B conf
An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification.
IEEE Congress on Evolutionary Computation
Jean-François Connolly, Eric Granger, Robert Sabourin
2010 B conf
Applying Dissimilarity Representation to Off-Line Signature Verification.
ICPR
Luana Batista, Eric Granger, Robert Sabourin
2010 B conf
Boolean Combination of Classifiers in the ROC Space.
ICPR
Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin
2010 B conf
Evolving ARTMAP neural networks using Multi-Objective Particle Swarm Optimization.
IEEE Congress on Evolutionary Computation
Eric Granger, Donavan Prieur, Jean-François Connolly
2010 J jnl
Improving performance of HMM-based off-line signature verification systems through a multi-hypothesis approach.
Int. J. Document Anal. Recognit.
Luana Batista, Eric Granger, Robert Sabourin
2010 — conf
Intelligent Watermarking of Document Images as a Dynamic Optimization Problem.
IIH-MSP
Eduardo Vellasques, Robert Sabourin, Eric Granger
2010 — conf
Intelligent Watermarking with Multi-objective Population Based Incremental Learning.
IIH-MSP
Bassem S. Rabil, Robert Sabourin, Eric Granger
2010 J jnl
Iterative Boolean combination of classifiers in the ROC space: An application to anomaly detection with HMMs.
Pattern Recognit.
Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin
2010 J jnl
On the memory complexity of the forward-backward algorithm.
Pattern Recognit. Lett.
Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin
2009 A conf
A Multi-Hypothesis Approach for Off-Line Signature Verification with HMMs.
ICDAR
Luana Batista, Eric Granger, Robert Sabourin
2009 — conf
A comparison of techniques for on-line incremental learning of HMM parameters in anomaly detection.
CISDA
Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin
2009 — conf
Combining Hidden Markov Models for Improved Anomaly Detection.
ICC
Wael Khreich, Eric Granger, Robert Sabourin, Ali Miri
2009 — conf
Incremental adaptation of fuzzy ARTMAP neural networks for video-based face classification.
CISDA
Jean-François Connolly, Eric Granger, Robert Sabourin
2008 B conf
A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning.
IJCNN
Eric Granger, Jean-François Connolly, Robert Sabourin
2008 — conf
Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network.
ANNPR
Jean-François Connolly, Eric Granger, Robert Sabourin
2007 — conf
Comparison of ARTMAP Neural Networks for Classification for Face Recognition from Video.
ICIAR
Mamoudou Barry, Eric Granger
2007 B conf
Face Recognition in Video Using a What-and-Where Fusion Neural Network.
IJCNN
Mamoudou Barry, Eric Granger
2007 — conf
Incremental Learning of Stochastic Grammars with Graphical EM in Radar Electronic Support.
ICASSP (2)
Guillaume Latombe, Eric Granger, Fred A. Dilkes
2006 — conf
Fast Incremental Techniques for Learning Production Rule Probabilities in Radar Electronic Support.
ICASSP (5)
Guillaume Latombe, Eric Granger, Fred A. Dilkes
2006 — conf
Maximum Likelihood and the Graphical Em Algorithm.
CCECE
Guillaume Latombe, Eric Granger, Fred A. Dilkes
2006 B conf
Particle Swarm Optimization of Fuzzy ARTMAP Parameters.
IJCNN
Eric Granger, Philippe Henniges, Luiz S. Oliveira, Robert Sabourin
2005 B conf
Factors of overtraining with fuzzy ARTMAP neural networks.
IJCNN
Philippe Henniges, Eric Granger, Robert Sabourin
2003 J jnl
A Pattern Reordering Approach Based on Ambiguity Detection for Online Category Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Eric Granger, Yvon Savaria, Pierre Lavoie
2001 J jnl
A What-and-Where fusion neural network for recognition and tracking of multiple radar emitters.
Neural Networks
Eric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie
2000 C conf
Analysis of quantization effects in a digital hardware implementation of a fuzzy ART neural network algorithm.
ISCAS
Marc-André Cantin, Yves Blaquière, Yvon Savaria, Pierre Lavoie, Eric Granger
2000 — conf
Classification of Incomplete Data Using the Fuzzy ARTMAP Neural Network.
IJCNN (6)
Eric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie
1998 J jnl
A comparison of self-organizing neural networks for fast clustering of radar pulses.
Signal Process.
Eric Granger, Yvon Savaria, Pierre Lavoie, Marc-André Cantin
1998 — conf
Familiarity Discrimination of Radar Pulses.
NIPS
Eric Granger, Stephen Grossberg, Mark A. Rubin, William W. Streilein