Shakeeb Murtaza
Postdoctoral Fellow, LIVIA, ÉTS, University of Quebec, Montreal, Canada.
I am a Postdoctoral Fellow at LIVIA, ÉTS Montreal, where I lead research on explainability and responsible AI for transformer-based models in an industry collaboration with Genetec, working with Prof. Eric Granger. I also work with the International Laboratory on Learning Systems (ILLS), collaborating with researchers across its partner institutions.
I completed my Ph.D. in Engineering at LIVIA, ÉTS Montreal (2025), in partnership with ILLS, under the guidance of Prof. Eric Granger and Prof. Marco Pedersoli. My thesis, Deep Weakly Supervised Learning Networks for Object Localization, focused on training neural networks with minimal supervision for visual recognition tasks, and I was honoured on the ÉTS Honour Roll for academic excellence.
My research interests include weakly supervised learning, explainable and trustworthy AI, vision-language models, person re-identification, and biomedical image analysis (histology and microscopy). My work has been published in venues such as Pattern Recognition, NeurIPS, WACV, Image and Vision Computing, and Knowledge-Based Systems.
news
| Sep 01, 2025 | Honoured on the ÉTS Honour Roll (Summer 2025) for academic excellence. |
|---|---|
| Jul 02, 2025 | Started as a Postdoctoral Fellow at LIVIA Lab, ÉTS Montreal, working on explainability and responsible AI for transformer-based models in collaboration with Genetec. |
| Jun 30, 2025 | Completed my Ph.D. in Engineering at ÉTS Montreal. Thesis: Deep Weakly Supervised Learning Networks for Object Localization. |
| Nov 28, 2024 | WACV 2025, A Realistic Protocol for Evaluation of Weakly Supervised Object Localization. [arXiv][Code] |
latest posts
selected publications
- TeD-Loc: Text Distillation for Weakly Supervised Object LocalizationUnder revision at Pattern Recognition, 2026
- SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-ResolutionIn NeurIPS 2024: Neural Information Processing Systems, Vancouver, Canada, 2024