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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) - [c145]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg:
SeTformer Is What You Need for Vision and Language. AAAI 2024: 4713-4721 - [c144]Shakeeb Murtaza, Marco Pedersoli, Aydin Sarraf, Eric Granger:
Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos. ANNPR 2024: 195-207 - [c143]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 - [c142]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 - [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, Zhen-Hua 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:
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Variational Fair Clustering. AAAI 2021: 11202-11209 - [c109]Madhu Kiran,