Mohammadreza Salehi

PhD Student at QUVA Lab, University of Amsterdam

About Me

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I am a PhD student in the QUVA lab at the University of Amsterdam, supervised by Yuki Asano, Cees Snoek, and Efstratios Gavves. I am also honored to be a member of the ELLIS PhD program in cooperation with Qualcomm. My research focuses on dense self-supervised learning, which learns meaningful representations for each patch of an image rather than a single vector for the whole image. This approach has applications in unsupervised object detection and semantic segmentation. Additionally, I work on video self-supervised learning to develop better pretraining weights that capture the temporal aspects of video, aiding tasks like action recognition. I also work on ML safety, particularly in outlier detection, to ensure that AI systems can identify and handle unexpected inputs reliably and securely.

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Publications

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SIGMA: Sinkhorn-Guided Masked Video Modeling

Mohammadreza Salehi*, Michael Dorkenwald*, Fida Mohammad Thoker*, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano

ECCV, 2024

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GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features

Luc P.J. Sträter*, Mohammadreza Salehi*, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano

ECCV, 2024

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Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations

Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, and Yuki M. Asano

ICCV, 2023

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Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection

Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban

ICLR, 2023

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Forecasting influenza hemagglutinin mutations through the lens of anomaly detection

Ali Garjani, Atoosa Malemir Chegini, Mohammadreza Salehi, Alireza Tabibzadeh, Parastoo Yousefi, Mohammad Hossein Razizadeh, Moein Esghaei, Maryam Esghaei, Mohammad Hossein Rohban

Scientific Reports, 2023

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A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges

Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou

TMLR, 2022

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Multiresolution Knowledge Distillation for Anomaly Detection

Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad Hossein Rohban, Hamid R. Rabiee

CVPR, 2021

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