Faculty profile
Eric Granger
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a École de technologie supérieure directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Boundary loss for highly unbalanced segmentation.
Medical image analysis · 2021
Latest funding
- $1,226,153
Intelligent Multimodal Systems for Enhancing Productivity and Digital Document Security
NSERC · 2025 · Principal investigator
- $47,602
Multi-view learning for expressive speech-driven 3D facial animation
NSERC · 2023 · Co-investigator
- $105,000
Deep Weakly-Supervised Neural Networks for Cross-Domain Video Recognition and Localization
NSERC · 2022 · Principal investigator
1 publications.
Boundary loss for highly unbalanced segmentation.
Kervadec H, Bouchtiba J, Desrosiers C, Granger E, Dolz J, Ben Ayed I
Intelligent Multimodal Systems for Enhancing Productivity and Digital Document Security
Principal investigators: Granger, Eric
Keywords: Information systems and technology; Information, computer and communication technologies
Multi-view learning for expressive speech-driven 3D facial animation
Principal investigators: Menelau Oliveira e Cruz, Rafael R
Keywords: 3d facial animation; 3d reconstruction; artificial intelligence; computer vision; deep generative models; deep learning; multiview learning; speech driven animation; video games
Deep Weakly-Supervised Neural Networks for Cross-Domain Video Recognition and Localization
Principal investigators: Granger, Eric
Keywords: machine/deep learning; computer vision; pattern recognition; weakly-supervised learning; deep metric learning; domain adaptation; continual and incremental learning; weakly-supervised object localization; video surveillance and biometrics; person re-identification
Embedded deep learning models for connected buildings
Principal investigators: Pedersoli, Marco M
Keywords: building management; connected buildings; continual learning; deep learning models; domain adaptation; edge computing; infrared cameras; intelligent distributed devices; people detection; weak supervision
Deep Weakly-Supervised Neural Networks for Cross-Domain Video Recognition and Localization
Principal investigators: Granger, Eric
Detection of COVID-19 in Intelligent Building Occupancy Management_x000d_ _x000d_ _x000d_ _x000d_ _x000d_
Principal investigators: Granger, Eric
Deep Domain Adaptation and Fusion for Person Recognition in the Wild
Principal investigators: Granger, Eric
A Comparison of Siamese Convolutional Neural Networks for Person Re-Identification in Video Surveillance**
Principal investigators: Granger, Eric
Compression of Convolutional Neural Networks for Efficient Real-Time Person Re-Identification Applications
Principal investigators: Granger, Eric
Adaptive Systems for Spatio-Temporal Recognition in Watchlist Screening Applications
Principal investigators: Granger, Eric
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Jose Dolz and Christian Desrosiers: 7 shared papers
- Jose Dolz and Ismail Ben Ayed: 6 shared papers
- Christian Desrosiers and Ismail Ben Ayed: 5 shared papers
- Jose Dolz and Eric Granger: 1 shared paper
- Christian Desrosiers and Eric Granger: 1 shared paper
- Eric Granger and Ismail Ben Ayed: 1 shared paper
- Systems Engineering
- Génie logiciel et des TI
- Génie de la production automatisée
- Genie Logiciel et TI
Co-authors at École de technologie supérieure, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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