Faculty profile
Marco Pedersoli
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 may be missing. Find their university profile.
Research
Latest papers
Boundary-aware information maximization for self-supervised medical image segmentation.
Medical image analysis · 2024
Self-paced and self-consistent co-training for semi-supervised image segmentation.
Medical image analysis · 2021
Discretely-constrained deep network for weakly supervised segmentation.
Neural networks : the official journal of the International Neural Network Society · 2020
Latest funding
- $289,464
Embedded deep learning models for connected buildings
NSERC · 2022 · Principal investigator
- $50,000
Detection of COVID-19 in Intelligent Building Occupancy Management_x000d_ _x000d_ _x000d_ _x000d_ _x000d_
NSERC · 2020 · Co-investigator
- $196,000
Efficient visual learning with reduced supervision
NSERC · 2018 · Principal investigator
3 publications.
Boundary-aware information maximization for self-supervised medical image segmentation.
Peng J, Wang P, Pedersoli M, Desrosiers C
Self-paced and self-consistent co-training for semi-supervised image segmentation.
Wang P, Peng J, Pedersoli M, Zhou Y, Zhang C, Desrosiers C
Discretely-constrained deep network for weakly supervised segmentation.
Peng J, Kervadec H, Dolz J, Ben Ayed I, Pedersoli M, Desrosiers C
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
Detection of COVID-19 in Intelligent Building Occupancy Management_x000d_ _x000d_ _x000d_ _x000d_ _x000d_
Principal investigators: Granger, Eric
Efficient visual learning with reduced supervision
Principal investigators: Pedersoli, Marco
Keywords: visual recognition; learning with reduced supervision; efficient deep neuronal networks; convolutional neural netwroks; weakly supervised learning; semi-supervised learning; recurrent neural networks; reinforcement learning; attention-based models
Efficient visual learning with reduced supervision
Principal investigators: Pedersoli, Marco
Land Classification Using SAR Imagery********
Principal investigators: Pedersoli, Marco
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
- Christian Desrosiers and Marco Pedersoli: 3 shared papers
- Jose Dolz and Marco Pedersoli: 1 shared paper
- Ismail Ben Ayed and Marco Pedersoli: 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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