Mohammadreza Salehi

About Me

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.

News

• [May 2025] 1 paper accepted at SynData4CV workshop at CVPR'25!
• [May 2025] Teaching assistant for Oxford Machine Learning summer school!
• [Jan 2025] Our paper, NeCo, is accepted at ICLR'25!
• [Sep 2024] 1 paper accepted at ACCV'24 as Oral!
• [Aug 2024] Our work NeCo is on arxiv. Check it out!
• [Jul 2024] 3 papers accepted at ECCV'24!
• [Apr 2024] We are holding a tutorial on Time is precious: Self-Supervised Learning Beyond Images at ECCV'24.
• [Mar 2024] Attended the winter school on foundation models in Amsterdam.
• [Mar 2024] Gave a talk at 9th Winter Seminar Series in advanced topics of Computer Science and Engineering at Sharif Univeristy of Technology.
• [Feb 2024] Serving as a reviewer for ECCV'24.

Publications

NeCo: Improving DINOv2's spatial representations in 19 GPU hours with Patch Neighbor Consistency

Valentinos Pariza*, Mohammadreza Salehi*, Gertjan J. Burghouts, Francesco Locatello, Yuki M Asano

ICLR, 2025

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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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Redefining Normal: A Novel Object-Level Approach for Multi-Object Novelty Detection

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

ACCV, 2024 (Oral)

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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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Teaching

• [Apr 2025] TA for UvA foundation models course
• [Nov 2024] Head TA for UvA deep learning 1 course
• [Apr 2024] TA for UvA foundation models course
• [Nov 2023] Head TA for UvA deep learning 1 course

Contact