
Fatemeh Nourilenjan Nokabadi
@FNokabadi
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PHD student at @universitelaval and @Mila_Quebec | working on computer vision tasks using deep learning
Montreal
Joined November 2023
Happy to present three papers of our research on adversarial robustness of object trackers at #NeurIPS2024! Feel free to stop by and check out our posters:. @Mila_Quebec @IID_ULaval @universitelaval
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Presenting two posters on adversarial robustness of object trackers today at the AdvML workshop @NeurIPSConf 2024!. We used unique proxies—object binary mask and single bounding box—to challenge state-of-the-art trackers, including transformers trackers. Stop by to discuss!
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RT @repro_challenge: 🎓 Checkout the #MLRC2023 posters at #NeurIPS 2024 this week: . Also, important announcement fo….
reproml.org
Machine Learning Reproducibility Challenge
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3. Adversarial Bounding Boxes Generation (ABBG) Attack against Visual Object Trackers by @FNokabadi, @jflalondeqc, @chgagne . 🕗 Date and Time: Sat 14 Dec, 8:15 a.m. PST— 5 p.m. PST. 📍 Location: East Ballroom C [AdvML-Frontiers Workshop].
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2. TrackPGD: Efficient Adversarial Attack using Object Binary Masks against Robust Transformer Trackers by @FNokabadi, Yann Pequignot, @jflalondeqc, @chgagne . 🕗 Date and Time: Sat 14 Dec, 8:15 a.m. PST— 5 p.m. PST. 📍 Location: East Ballroom C [AdvML-Frontiers Workshop].
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1. [Journal to conference Track] Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers by @FNokabadi, @jflalondeqc , @chgagne . 🕚 Date and time: Thu 12 Dec 11 a.m. PST — 2 p.m. PST. 📍 Location: East Exhibit Hall A-C #2104.
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RT @JiaweiYang118: Very excited to get this out: “DVT: Denoising Vision Transformers”. We've identified and combated those annoying positio….
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RT @WiMLworkshop: Just wrapped up an insightful panel on "Building Your Career Path" at our workshop! 🚀 Our panelists shared invaluable adv….
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A heartfelt thank you to my coauthor, @starrezaee , who is presenting our work at ICML 2024 and to everyone who supported us on this journey, including Laboratoire de Vision et Systèmes Numériques de l'Université Laval and the REPARTI group. #ai #MachineLearning #WiML #icml.
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Check out our poster, "β-MuliVaritional AutoEncoder (βMVAE) for Entangled Representation Learning in Video Frames," presented in @WiMLworkshop at [ICML] Int'l Conference on Machine Learning! ✨ . Paper: Code:
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RT @TmlrCert: New #ReproducibilityCertification:. Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers. Fatemeh….
openreview.net
New transformer networks have been integrated into object tracking pipelines and have demonstrated strong performance on the latest benchmarks. This paper focuses on understanding how transformer...
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Wow! This is my paper 😍.
Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers. Fatemeh Nourilenjan Nokabadi, Jean-Francois Lalonde, Christian Gagné. Action editor: Jonathan Scarlett. #adversarial #trackers #tracking.
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RT @TmlrPub: Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers. Fatemeh Nourilenjan Nokabadi, Jean-Francois….
openreview.net
New transformer networks have been integrated into object tracking pipelines and have demonstrated strong performance on the latest benchmarks. This paper focuses on understanding how transformer...
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RT @starrezaee: Excited to share that our publication in BMC #Bioinformatics is now online! We explored #dimensionalityreduction and #trans….
bmcbioinformatics.biomedcentral.com
Background Numerous transcriptomic-based models have been developed to predict or understand the fundamental mechanisms driving biological phenotypes. However, few models have successfully transiti...
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RT @CemSubakan: We will have XAI-SA: Explainable Machine Learning for Speech and Audio, next week at ICASSP 2024. The date is April 15. Y….
docs.google.com
We will contact you with further connection details about the event through the email that you provide. We will send you a zoom link through your email. For the workshop schedule refer to the...
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