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Fatemeh Nourilenjan Nokabadi Profile
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
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@FNokabadi
Fatemeh Nourilenjan Nokabadi
9 months
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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@FNokabadi
Fatemeh Nourilenjan Nokabadi
9 months
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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@grok
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4 days
Join millions who have switched to Grok.
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@FNokabadi
Fatemeh Nourilenjan Nokabadi
9 months
RT @repro_challenge: 🎓 Checkout the #MLRC2023 posters at #NeurIPS 2024 this week: . Also, important announcement fo….
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reproml.org
Machine Learning Reproducibility Challenge
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@FNokabadi
Fatemeh Nourilenjan Nokabadi
9 months
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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@FNokabadi
Fatemeh Nourilenjan Nokabadi
9 months
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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@FNokabadi
Fatemeh Nourilenjan Nokabadi
9 months
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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@FNokabadi
Fatemeh Nourilenjan Nokabadi
1 year
RT @JiaweiYang118: Very excited to get this out: “DVT: Denoising Vision Transformers”. We've identified and combated those annoying positio….
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@FNokabadi
Fatemeh Nourilenjan Nokabadi
1 year
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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@FNokabadi
Fatemeh Nourilenjan Nokabadi
1 year
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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@FNokabadi
Fatemeh Nourilenjan Nokabadi
1 year
Our approach leverages βMVAE to learn a multivariate Gaussian distribution representing object motion parameters from video frames.Our method estimates a posterior close to the prior, with an error of approximately 0.5 ×10^-6 without experiencing posterior collapse on big data.
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@FNokabadi
Fatemeh Nourilenjan Nokabadi
1 year
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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@FNokabadi
Fatemeh Nourilenjan Nokabadi
1 year
RT @chgagne: Our paper "Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers" published in @TmlrOrg ! With @FNo….
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@FNokabadi
Fatemeh Nourilenjan Nokabadi
1 year
Wow! This is my paper 😍.
@TmlrPub
Accepted papers at TMLR
1 year
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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@FNokabadi
Fatemeh Nourilenjan Nokabadi
1 year
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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@FNokabadi
Fatemeh Nourilenjan Nokabadi
1 year
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….
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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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