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2020 – today
- 2023
[j57]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)- [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) - [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 - [i82]Akhil Meethal, Eric Granger, Marco Pedersoli:
Cascaded Zoom-in Detector for High Resolution Aerial Images. CoRR abs/2303.08747 (2023) - [i81]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) - [i80]R. Gnana Praveen, Eric Granger, Patrick Cardinal:
Recursive Joint Attention for Audio-Visual Fusion in Regression based Emotion Recognition. CoRR abs/2304.07958 (2023) - [i79]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) - [i78]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger:
Image Completion via Dual-path Cooperative Filtering. CoRR abs/2305.00379 (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, Luck 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] - [i77]Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Negative Evidence Matters in Interpretable Histology Image Classification. CoRR abs/2201.02445 (2022) - [i76]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) - [i75]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) - [i74]Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo López:
Facial Expression Analysis Using Decomposed Multiscale Spatiotemporal Networks. CoRR abs/2203.11111 (2022) - [i73]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) - [i72]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) - [i71]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) - [i70]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) - [i69]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) - [i68]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou:
Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network. CoRR abs/2205.10272 (2022) - [i67]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) - [i66]Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Eric Granger, Salvador García:
Wasserstein Embedding for Capsule Learning. CoRR abs/2209.00232 (2022) - [i65]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) - [i64]Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger:
Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization. CoRR abs/2209.09195 (2022) - [i63]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) - [i62]Mahdi Alehdaghi, Arthur Josi, Rafael M. O. Cruz, Eric Granger:
Visible-Infrared Person Re-Identification Using Privileged Intermediate Information. CoRR abs/2209.09348 (2022) - [i61]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) - [i60]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) - [i59]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) - [i58]Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli:
Re-basin via implicit Sinkhorn differentiation. CoRR abs/2212.12042 (2022) - 2021
- [j51]Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger:
Exploiting prunability for person re-identification. EURASIP J. Image Video Process. 2021(1): 22 (2021) - [j50]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou, Ruili Wang, M. Emre Celebi, Jie Yang:
Image synthesis with adversarial networks: A comprehensive survey and case studies. Inf. Fusion 72: 126-146 (2021) - [j49]Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Knowledge distillation methods for efficient unsupervised adaptation across multiple domains. Image Vis. Comput. 108: 104096 (2021) - [j48]Gnana Praveen Rajasekhar, Eric Granger, Patrick Cardinal:
Deep domain adaptation with ordinal regression for pain assessment using weakly-labeled videos. Image Vis. Comput. 110: 104167 (2021) - [j47]Madhu Kiran, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Louis-Antoine Blais-Morin, Ismail Ben Ayed, Eric Granger:
Flow guided mutual attention for person re-identification. Image Vis. Comput. 113: 104246 (2021) - [j46]Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed:
Boundary loss for highly unbalanced segmentation. Medical Image Anal. 67: 101851 (2021) - [c110]Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed:
Variational Fair Clustering. AAAI 2021: 11202-11209 - [c109]Madhu Kiran, Gnana Praveen Rajasekhar, Le Thanh Nguyen-Meidine, Soufiane Belharbi, Louis-Antoine Blais-Morin, Eric Granger:
Holistic Guidance for Occluded Person Re-Identification. BMVC 2021: 115 - [c108]R. Gnana Praveen, Eric Granger, Patrick Cardinal:
Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition. FG 2021: 1-8 - [c107]Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed:
Augmented Lagrangian Adversarial Attacks. ICCV 2021: 7718-7727 - [c106]Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation. WACV 2021: 1338-1346 - [c105]Théo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger:
Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition. WACV 2021: 3028-3037 - [c104]Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator. WACV 2021: 3337-3346 - [i57]Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains. CoRR abs/2101.07308 (2021) - [i56]Gnana Praveen R, Eric Granger, Patrick Cardinal:
Weakly Supervised Learning for Facial Behavior Analysis : A Review. CoRR abs/2101.09858 (2021) - [i55]Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer. CoRR abs/2104.06476 (2021) - [i54]Madhu Kiran, R. Gnana Praveen, Le Thanh Nguyen-Meidine, Soufiane Belharbi, Louis-Antoine Blais-Morin, Eric Granger:
Holistic Guidance for Occluded Person Re-Identification. CoRR abs/2104.06524 (2021) - [i53]Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Transductive Few-Shot Learning: Clustering is All You Need? CoRR abs/2106.09516 (2021) - [i52]Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
F-CAM: Full Resolution CAM via Guided Parametric Upscaling. CoRR abs/2109.07069 (2021) - [i51]Gnana Praveen R, Eric Granger, Patrick Cardinal:
Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition. CoRR abs/2111.05222 (2021) - 2020
- [j45]Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Éric Granger:
Robust face tracking using multiple appearance models and graph relational learning. Mach. Vis. Appl. 31(4): 23 (2020) - [j44]Fania Mokhayeri, Eric Granger:
A paired sparse representation model for robust face recognition from a single sample. Pattern Recognit. 100: 107129 (2020) - [j43]Roghayeh Soleymani, Eric Granger, Giorgio Fumera:
F-measure curves: A tool to visualize classifier performance under imbalance. Pattern Recognit. 100: 107146 (2020) - [j42]Marc-André Carbonneau, Eric Granger, Yazid Attabi, Ghyslain Gagnon:
Feature Learning from Spectrograms for Assessment of Personality Traits. IEEE Trans. Affect. Comput. 11(1): 25-31 (2020) - [j41]Fania Mokhayeri, Eric Granger:
Video Face Recognition Using Siamese Networks With Block-Sparsity Matching. IEEE Trans. Biom. Behav. Identity Sci. 2(2): 133-144 (2020) - [c103]Djebril Mekhazni, Amran Bhuiyan, George S. Eskander Ekladious, Eric Granger:
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification. ECCV (27) 2020: 159-174 - [c102]Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed:
A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses. ECCV (6) 2020: 548-564 - [c101]R. Gnana Praveen, Eric Granger, Patrick Cardinal:
Deep Weakly Supervised Domain Adaptation for Pain Localization in Videos. FG 2020: 473-480 - [c100]Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo López:
Encoding Temporal Information For Automatic Depression Recognition From Facial Analysis. ICASSP 2020: 1080-1084 - [c99]Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Laplacian Regularized Few-Shot Learning. ICML 2020: 11660-11670 - [c98]Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Marco Pedersoli, Louis-Antoine Blais-Morin:
Progressive Gradient Pruning for Classification, Detection and Domain Adaptation. ICPR 2020: 2795-2802 - [c97]Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger:
Convolutional STN for Weakly Supervised Object Localization. ICPR 2020: 10157-10164 - [c96]George S. Eskander Ekladious, Hugo Lemoine, Eric Granger, Kaveh Kamali, Salim Moudache:
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video Face Recognition. IJCNN 2020: 1-9 - [c95]Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin:
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation. IJCNN 2020: 1-8 - [c94]Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed:
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. MIDL 2020: 365-381 - [c93]Fania Mokhayeri, Kaveh Kamali, Eric Granger:
Cross-Domain Face Synthesis using a Controllable GAN. WACV 2020: 241-249 - [c92]Amran Bhuiyan, Yang Liu, Parthipan Siva, Mehrsan Javan, Ismail Ben Ayed, Eric Granger:
Pose Guided Gated Fusion for Person Re-identification. WACV 2020: 2664-2673 - [i50]George S. Eskander Ekladious, Hugo Lemoine, Eric Granger, Kaveh Kamali, Salim Moudache:
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition. CoRR abs/2002.04206 (2020) - [i49]Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed:
Metric learning: cross-entropy vs. pairwise losses. CoRR abs/2003.08983 (2020) - [i48]Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed:
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. CoRR abs/2004.06816 (2020) - [i47]Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin:
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation. CoRR abs/2005.07839 (2020) - [i46]Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Laplacian Regularized Few-Shot Learning. CoRR abs/2006.15486 (2020) - [i45]Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation. CoRR abs/2007.07077 (2020) - [i44]Djebril Mekhazni, Amran Bhuiyan, George S. Eskander Ekladious, Eric Granger:
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification. CoRR abs/2007.13890 (2020) - [i43]Madhu Kiran, Amran Bhuiyan, Louis-Antoine Blais-Morin, Mehrsan Javan, Ismail Ben Ayed, Eric Granger:
Flow-Guided Attention Networks for Video-Based Person Re-Identification. CoRR abs/2008.03788 (2020) - [i42]Gnana Praveen R, Eric Granger, Patrick Cardinal:
Deep Domain Adaptation for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labelled Videos. CoRR abs/2008.06392 (2020) - [i41]Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator. CoRR abs/2010.04889 (2020) - [i40]Gnana Praveen R, Eric Granger, Patrick Cardinal:
Deep DA for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labeled Videos. CoRR abs/2010.15675 (2020) - [i39]Théo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger:
Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition. CoRR abs/2011.05227 (2020) - [i38]Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. CoRR abs/2011.07221 (2020) - [i37]Thomas Teixeira, Eric Granger, Alessandro Lameiras Koerich:
Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks. CoRR abs/2011.09280 (2020) - [i36]Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed:
Augmented Lagrangian Adversarial Attacks. CoRR abs/2011.11857 (2020) - [i35]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou, Ruili Wang, M. Emre Celebi, Jie Yang:
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies. CoRR abs/2012.13736 (2020)
2010 – 2019
- 2019
- [j40]Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed:
Constrained-CNN losses for weakly supervised segmentation. Medical Image Anal. 54: 88-99 (2019) - [j39]Fania Mokhayeri, Eric Granger, Guillaume-Alexandre Bilodeau:
Domain-Specific Face Synthesis for Video Face Recognition From a Single Sample Per Person. IEEE Trans. Inf. Forensics Secur. 14(3): 757-772 (2019) - [j38]Marc-Andre Carbonneau, Eric Granger, Ghyslain Gagnon:
Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification Problems. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1441-1451 (2019) - [c91]Frank M. Hafner, Amran Bhuiyan, Julian F. P. Kooij, Eric Granger:
RGB-Depth Cross-Modal Person Re-identification. AVSS 2019: 1-8 - [c90]Madhu Kiran, Vivek Tiwari, Le Thanh Nguyen-Meidine, Louis-Antoine Blais-Morin, Eric Granger:
On the Interaction Between Deep Detectors and Siamese Trackers in Video Surveillance. AVSS 2019: 1-8 - [c89]