Fatemeh N. Nokabadi


I am a PHD student at Université Laval and Mila working on object trackers and robustness of learning-based trackers. Since May 2023, I have pursued my Ph.D. program on the robustness of trackers, supervised by Professor Christian Gagné and Professor Jean-François Lalonde. I have published my research in Transactions on Machine Learning Research (TMLR) and presented at an ICML workshop, showcasing my work to the academic community.

Prior to this, I researched single object tracking using deep reinforcement learning algorithms until April 2023. Also, I have gained nine months of industry experience through internships, reinforcing my skills and learning from professional teammates.

For any inquiries, feel free to reach out to me via mail!

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Profile picture

Publications

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β-Multivariational Autoencoder for Entangled Representation Learning in Video Frames
Fatemeh Nourilenjan Nokabadi, Setareh Rezaee Oshternian
ICML 2024 Workshop WiML
Poster / Slides / Code /
@article{nourilenjan_nokabadi_-multivariational_2024, 
		author = {Fatemeh Nourilenjan Nokabadi, Setareh Rezaee Oshternian}, 
		title = {β-Multivariational Autoencoder for Entangled Representation Learning in Video Frames}, 
		booktitle = {ICML 2024 Workshop WiML}, 
		year = {2024}, 
		}
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Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers
Fatemeh Nourilenjan Nokabadi, Jean-Francois Lalonde, Christian Gagné
Transactions on Machine Learning Research (TMLR), 2024
Accepted in ML Reproducibility Challenge 2023
Project Page / Code /
@article{nokabadi2024reproducibility,
	    title={Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers},
	    author={Fatemeh Nourilenjan Nokabadi and Jean-Francois Lalonde and Christian Gagne},
	    journal={Transactions on Machine Learning Research},
	    issn={2835-8856},
	    year={2024},
	    url={https://openreview.net/forum?id=FEEKR0Vl9s},
	    note={Reproducibility Certification}
	}
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Salient object detection method using random graph
Fatemeh Nouri, Kamran Kazemi, Habibollah Danyali
Multimedia Tools and Applications, 2018
Project Page /
@InProceedings{nouri_salient_2018, 
	author = {Fatemeh Nouri and Kamran Kazemi and Habibollah Danyali}, 
	title = {Salient object detection method using random graph}, 
	booktitle = {Multimedia Tools and Applications}, 
	year = {2018}, 
}
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Salient object detection using local, global and high contrast graphs
Fatemeh Nouri, Kamran Kazemi, Habibollah Danyali
Signal, Image and Video Processing, 2018
Project Page /
@InProceedings{nouri_salient_2018-1, 
	author = {Fatemeh Nouri and Kamran Kazemi and Habibollah Danyali}, 
	title = {Salient object detection using local, global and high contrast graphs}, 
	booktitle = {Signal, Image and Video Processing}, 
	year = {2018}, 
}
Project image
Salient object detection via global contrast graph
Fatemeh Nouri, Kamran Kazemi, Habibollah Danyali
Signal Processing and Intelligent Systems Conference (SPIS), 2015
Project Page / Poster /
@InProceedings{nouri_salient_2015, 
	author = {Fatemeh Nouri and Kamran Kazemi and Habibollah Danyali}, 
	title = {Salient object detection via global contrast graph}, 
	booktitle = {Signal Processing and Intelligent Systems Conference (SPIS)}, 
	year = {2015}, 
}

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