Mohammadreza Salehi
Scholar

Mohammadreza Salehi

Google Scholar ID: kpT3gcsAAAAJ
University of Amsterdam
Generative AIML SafetySelf-supervised LearningMultimodal Learning
Citations & Impact
All-time
Citations
1,379
 
H-index
10
 
i10-index
10
 
Publications
19
 
Co-authors
11
list available
Publications
19 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published multiple papers, including NeCo at ICLR 2025, SIGMA at ECCV 2024, and Redefining Normal at ACCV 2024. Presented at several international conferences and served as a reviewer.
Research Experience
  • Served as a teaching assistant for multiple international conferences, such as the Oxford Machine Learning Summer School and UvA Foundation Models course. Involved in various research projects, including self-supervised learning for images and videos, and anomaly detection.
Education
  • PhD - QUVA Lab, University of Amsterdam, Supervisors: Yuki Asano, Cees Snoek, Efstratios Gavves; Current
Background
  • PhD student at the QUVA lab, University of Amsterdam, supervised by Yuki Asano, Cees Snoek, and Efstratios Gavves. Also a member of the ELLIS PhD program in cooperation with Qualcomm. Research focuses on dense self-supervised learning, video self-supervised learning, and ML safety, particularly in outlier detection.
Miscellany
  • Attended the winter school on foundation models in Amsterdam and gave a talk at the 9th Winter Seminar Series in Advanced Topics of Computer Science and Engineering at Sharif University of Technology.