Fatemeh Nourilenjan Nokabadi
@fnokabadi
PHD student at @universitelaval and @Mila_Quebec | working on computer vision tasks using deep learning
ID: 1727726307461443584
https://fatemehn.github.io/ 23-11-2023 16:30:38
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Excited to share that our publication in BMC #Bioinformatics is now online! We explored #dimensionalityreduction and #transferlearning and regularization techniques to improve predictive modeling with #transcriptomic data. bmcbioinformatics.biomedcentral.com/articles/10.11… @rsnfehrmann ArkajyotiBhatt4
Our paper "Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers" published in Transactions on Machine Learning Research ! With Fatemeh Nourilenjan Nokabadi Jean-Francois Lalonde Institut Intelligence et données (IID) - ULaval Mila - Institut québécois d'IA
Just wrapped up an insightful panel on "Building Your Career Path" at our workshop! 🚀 Our panelists shared invaluable advice and stories with our attendees. Thank you Feryal Golnoosh Farnadi @NeurIPS2024 Fanny Yang Ana Stoica ! #WiML #ICML
Very excited to get this out: “DVT: Denoising Vision Transformers”. We've identified and combated those annoying positional patterns in many ViTs. Our approach denoises them, achieving SOTA results and stunning visualizations! Learn more on our website: jiawei-yang.github.io/DenoisingViT/
Presenting two posters on adversarial robustness of object trackers today at the AdvML workshop NeurIPS Conference 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!
