Sahar Dastani

I am a PhD Student at Mila/ÉTS, advised by Prof. Christian Desrosiers and Prof. Hervé Lombaert. I am also a visiting researcher at Zebra. My research interests lie at the intersection of computer vision, deep learning, and efficient neural network design. Specifically, I focus on designing robust and efficient neural networks that can generalize under real-world challenges, such as distribution shifts and geometric transformations.

Previously, I was a research assistant at CHU Sainte-Justine in Montreal, advised by Dr. Philippe Jouvet. I obtain my M.Sc. and B.Sc. in Computer Science from Amirkabir University of Technology (AUT) where I advised by Dr. M.Hassan Shirali-Shahreza and Dr. Mohammad Akbari.

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Spectral State Space Model for Rotation-Invariant Visual Representation Learning
Sahar Dastani, Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Milad Cheraghalikhani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Arnab Mondal, Herve Lombaert, Christian Desorisers.
CVPR 2025.

Spectral Informed Mamba for Robust Point Cloud Processing
Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Sahar Dastani, Milad Cheraghalikhani, David Osowiechi, Gustavo Adolfo Vargas Hakim, Farzad Beizaee, Ismaeil Ben Ayed, Christian Desorisers.
CVPR 2025.

Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging
Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Sahar Dastani, Milad Cheraghalikhani, David Osowiechi, Gustavo Adolfo Vargas Hakim, Farzad Beizaee, Ismaeil Ben Ayed, Christian Desorisers.
WACV 2025. (Oral)

WATT: Weight Average Test Time Adaptation of CLIP
David Osowiechi, Mehrdad Noori, Gustavo Adolfo Vargas Hakim, Moslem Yazdanpanah, Ali Bahri, Milad Cheraghalikhani, Sahar Dastani, Farzad Beizaee, Ismaeil Ben Ayed, Christian Desorisers.
NeurIPS 2025.

Psychomotor agitation detection using deep learning
Sahar Dastani, Ali Harakeh, Phillipe Jouvet, and Samira Ebrahimi Kahou
WFPICCS PCCM Journal 2024.

Relational UNet for Image Segmentation
Ivaxi Sheth, Pedro Braga, Shivakanth Sujit, Sahar Dastani, Samira Ebrahimi Kahou
International Workshop on Machine Learning in Medical Imaging 2023.