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PhD candidate at ETS Montréal
Ex-intern @ElementAI/ServiceNow
Research interests:
- Image classification
- Image localization
- Deep learning
- Data augmentation
- Bilevel optimization
- Bayesian learning
Research areas:
Project title:
- Training visual recognition models with limited data
Name of advisor:
- Professor Marco Pedersoli, Professor Ismail Ben Ayed
Code and Publications
GitHub:
List of publications:
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- Mounsaveng, S., Vázquez, D., Ayed, I.B., & Pedersoli, M. (2019). Adversarial Learning of General Transformations for Data Augmentation. 2019 ICLR LLD Workshop.
- Mounsaveng, S., Laradji, I.H., Ayed, I.B., Vázquez, D., & Pedersoli, M. (2020). Learning Data Augmentation with Online Bilevel Optimization for Image Classification. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).
- Mounsaveng, S., & Vazquez Bermudez, D. (2021). METHOD OF AND SYSTEM FOR JOINT DATA AUGMENTATION AND CLASSIFICATION LEARNING. US Patent No. 11,232,328 B2.
Research & Innovation
Contact Us
Pavillon Principal (A)
1100, rue Notre-Dame Ouest
Montréal, QC, H3C 1K3
Room A-3600
Tel.: +1 (514) 396-8650
E-Mail: eric.granger@etsmtl.ca