Publications | Fatemeh N. Nokabadi

2025

Adversarial robustness of learning-based single object trackers

Fatemeh Nourilenjan Nokabadi

Ph.D. Thesis · Université Laval / Mila · 2025

Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers

Fatemeh Nourilenjan Nokabadi, Jean-François Lalonde, Christian Gagné

Transactions on Machine Learning Research (TMLR) · Reproducibility Certification

Paper Code Project Page NeurIPS Presentation Poster Slides

TrackPGD: Efficient Adversarial Attack using Object Binary Masks against Robust Transformer Trackers

Fatemeh Nourilenjan Nokabadi, Yann Batiste Pequignot, Jean-François Lalonde, Christian Gagné

Third Workshop on New Frontiers in Adversarial Machine Learning (AdvML-Frontiers) @ NeurIPS 2024

Paper CRV 2025 Code Project Page Presentation Poster Slides

Adversarial Bounding Boxes Generation (ABBG) Attack against Visual Object Trackers

Fatemeh Nourilenjan Nokabadi, Jean-François Lalonde, Christian Gagné

Third Workshop on New Frontiers in Adversarial Machine Learning (AdvML-Frontiers) @ NeurIPS 2024

Paper Code Presentation Poster Slides

β-Multivariational Autoencoder for Entangled Representation Learning in Video Frames

Fatemeh Nourilenjan Nokabadi, Setareh Rezaee Oshternian

Women in Machine Learning Workshop (WiML) @ ICML 2024

Code Presentation Poster

β-Multivariational Autoencoder for Entangled Representation Learning in Video Frames

Fatemeh Nourilenjan Nokabadi, Robert Bergevin

SSRN Scholarly Paper · Preprint

Paper DOI Code PDF Poster

Salient object detection method using random graph

Fatemeh Nouri, Kamran Kazemi, Habibollah Danyali

Multimedia Tools and Applications, vol. 77(19), pp. 24681–24699

Paper

Salient object detection using local, global and high contrast graphs

Fatemeh Nouri, Kamran Kazemi, Habibollah Danyali

Signal, Image and Video Processing, vol. 12(4), pp. 659–667

Paper

Salient object detection via global contrast graph

Fatemeh Nouri, Kamran Kazemi, Habibollah Danyali

Signal Processing and Intelligent Systems Conference (SPIS), pp. 159–163

Paper Poster