Home Original page

Mohammadreza Salehi

About Me

Your Photo

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

  • [Sep 2025] 1 paper accepted at UniReps workshop at NeurIPS'25!
  • [Sep 2025] 1 paper accepted at NeurIPS'25!
  • [Aug 2025] Presented our work MoSiC at Oxford VGG group
  • [Jul 2025] 1 paper accepted at ICCV'25!
  • [Jun 2025] Started my internship at GenAI group, Samsung AI Center Cambridge.
  • [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

Publication Image

MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning

Mohammadreza Salehi*, Shashanka Venkataramanan*, Ioana Simion, Efstratios Gavves, Cees G. M. Snoek, Yuki M Asano

ICCV, 2025

Publication Image

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

Publication Image

SIGMA: Sinkhorn-Guided Masked Video Modeling

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

ECCV, 2024

Publication Image

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)

Publication Image

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

Publication Image

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

Publication Image

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

Publication Image

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

Publication Image

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

Publication Image

Multiresolution Knowledge Distillation for Anomaly Detection

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

CVPR, 2021

Teaching

Contact