Články se zplnomocněním k veřejnému přístupu - Eric GrangerDalší informace
Dostupné někde: 70
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
MA Carbonneau, V Cheplygina, E Granger, G Gagnon
Pattern Recognition 77, 329-353, 2018
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
Boundary loss for highly unbalanced segmentation
H Kervadec, J Bouchtiba, C Desrosiers, E Granger, J Dolz, I Ben Ayed
Medical Image Analysis 67, 2021
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
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
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada, Fonds de …
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
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
The Tenth Visual Object Tracking VOT2022 Challenge Results
Kristan, Matej, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
ECCVw 2022: European Conference on Computer Vision, Tel Aviv, Israel, 2022
Zplnomocnění: Knut and Alice Wallenberg Foundation, Slovenian Research Agency, European …
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
Zplnomocnění: US National Science Foundation, National Natural Science Foundation of China
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
Zplnomocnění: US National Science Foundation, US Department of Energy, Canadian Institutes …
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
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
J Dolz, X Xu, J Rony, J Yuan, Y Liu, E Granger, C Desrosiers, X Zhang, ...
Medical Physics, DOI: 10.1002/mp.13240, 2018
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada, National …
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation
LT Nguyen-Meidine, A Belal, M Kiran, J Dolz, LA Blais-Morin, E Granger
WACV 2021: IEEE/CVF Winter Conf. on Applications of Computer Vision, 2021
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
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
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada, Academy of Finland
Depression Detection based on Deep Distribution Learning
WC de Melo, E Granger, A Hadid
ICIP 2019: IEEE Int'l Conf. on Image Processing, Taipei, Taiwan., 2019
Zplnomocnění: Academy of Finland
Partially-supervised learning from facial trajectories for face recognition in video surveillance
M De-la-Torre, E Granger, PVW Radtke, R Sabourin, DO Gorodnichy
Information Fusion 24, 31–53, 2015
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
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
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada, Academy of Finland
Adaptive appearance model tracking for still-to-video face recognition
MAA Dewan, E Granger, GL Marcialis, R Sabourin, F Roli
Pattern Recognition 49, 129–151, 2016
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
Encoding Temporal Information for Automatic Depression Recognition from Facial Analysis
WC de Melo, E Granger, MB Lopez
ICASSP 2020: Int'l Conf. on Acoustics, Speech, and Signal Processing …, 2020
Zplnomocnění: Academy of Finland
Robust multiple-instance learning ensembles using random subspace instance selection
MA Carbonneau, E Granger, AJ Raymond, G Gagnon
Pattern recognition 58, 83-99, 2016
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
S Belharbi, J Rony, J Dolz, IB Ayed, L McCaffrey, E Granger
IEEE Transactions on Medical Imaging 41 (3), 702-714, 2022
Zplnomocnění: Canadian Institutes of Health Research, Natural Sciences and Engineering …
Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition
G Praveen, E Granger, P Cardinal
FG 2021: IEEE Int'l Conf. on Automatic Face and Gesture Recognition, Jodhpur …, 2021
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada, Fonds de …
Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per Person
F Mokhayeri, E Granger, GA Bilodeau
IEEE Transactions on Information Forensics & Security 14 (3), 757-772, 2019
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
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