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Eric Granger
Eric Granger
Professor, École de technologie supérieure, LIVIA, ILLS, REPARTI, MILA affiliate
Verified email at etsmtl.ca - Homepage
Title
Cited by
Cited by
Year
Boundary loss for highly unbalanced segmentation
H Kervadec, J Bouchtiba, C Desrosiers, E Granger, J Dolz, I Ben Ayed
Medical Image Analysis 67, 2021
12612021
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
MA Carbonneau, V Cheplygina, E Granger, G Gagnon
Pattern Recognition 77, 329-353, 2018
11162018
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
J Rony, LG Hafemann, LS Oliveira, I Ben Ayed, R Sabourin, E Granger
CVPR 2019: IEEE Conference on Computer Vision and Pattern Recognition, Long …, 2019
4532019
Constrained-CNN losses for weakly supervised segmentation
H Kervadec, J Dolz, M Tang, E Granger, Y Boykov, IB Ayed
Medical Image Analysis 54, 88-99, 2019
3872019
Laplacian Regularized Few-Shot Learning
IM Ziko, J Dolz, E Granger, I Ben Ayed
ICML 2020: Int'l Conference on Machine Learning, Vienna, Austria, 2020
3112020
The Tenth Visual Object Tracking VOT2022 Challenge Results
Kristan, Matej, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
ECCV 2022: European Conference on Computer Vision, Tel Aviv, Israel, 2022
2842022
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
M Boudiaf, J Rony, IM Ziko, E Granger, M Pedersoli, P Piantanida, ...
ECCV 2020: European Conf. on Computer Vision, Glasgow, UK., 548-564, 2020
2812020
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies
P Shamsolmoali, M Zareapoor, E Granger, H Zhou, R Wang, ME Celebi, ...
Information Fusion 72, 126-146, 2021
2162021
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification
D Mekhazni, A Bhuiyan, G Ekladious, E Granger
ECCV 2020: European Conf. on Computer Vision, Glasgow, UK., 2020
1782020
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition
RG Praveen, WC de Melo, N Ullah, H Aslam, O Zeeshan, T Denorme, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
176*2022
MDN: A Deep Maximization-Differentiation Network for Spatio-Temporal Depression Detection
WC de Melo, E Granger, MB Lopez
IEEE Transactions on Affective Computing 14 (1), 578 - 590, 2021
1742021
Min-Max Entropy for Weakly Supervised Pointwise Localization
S Belharbi, J Rony, J Dolz, I Ben Ayed, L McCaffrey, E Granger
arXiv preprint arXiv:1907.12934, 2019
168*2019
A what-and-where fusion neural network for recognition and tracking of multiple radar emitters
E Granger, M Rubin, S Grossberg, P Lavoie
Neural Networks 14 (3), 325-344, 2001
1642001
A Deep Multiscale Spatiotemporal Network for Assessing Depression from Facial Dynamics
WC de Melo, E Granger, A Hadid
IEEE Transactions on Affective Computing 13 (3), 1581 - 1592, 2022
1592022
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
H Kervadec, J Dolz, E Granger, I Ben Ayed
MIDL 2020: Int'l Conf. on Medical Imaging with Deep Learning, Montreal, Canada., 2020
1562020
A survey of techniques for incremental learning of HMM parameters
W Khreich, E Granger, A Miri, R Sabourin
Information Sciences 197, 105-130, 2012
1542012
Iterative Boolean combination of classifiers in the ROC space: An application to anomaly detection with HMMs
W Khreich, E Granger, A Miri, R Sabourin
Pattern Recognition 43 (8), 2732-2752, 2010
1462010
Combining Global and Local Convolutional 3D Networks for Detecting Depression from Facial Expressions
WC de Melo, E Granger, A Hadid
FG 2019: IEEE Int'l Conf. on Automatic Face and Gesture Recognition, Lille …, 2019
1442019
An adaptive classification system for video-based face recognition
JF Connolly, E Granger, R Sabourin
Information Sciences 192, 50-70, 2012
1392012
Cascaded Zoom-in Detector for High Resolution Aerial Images
A Meethal, E Granger, M Pedersoli
CVPRw 2023: IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2023
1352023
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