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Mahsa Baktashmotlagh
Scholar

Mahsa Baktashmotlagh

Google Scholar ID: 3kaiBBYAAAAJ
University of Queensland
Machine LearningComputer Vision
Google Scholar↗
Citations & Impact
All-time
Citations
3,692
 
H-index
29
 
i10-index
51
 
Publications
20
 
Co-authors
15
list available
Contact
No contact links provided.
Publications
16 items
Foveated Probes Recover Localized Binding Information in Vision Foundation Models
2026
Cited
0
Beyond Instance-Level Self-Supervision in 3D Multi-Modal Medical Imaging
2026
Cited
0
MambaNetBurst: Direct Byte-level Network Traffic Classification without Tokenization or Pretraining
2026
Cited
0
Geometry-Guided Self-Supervision for Ultra-Fine-Grained Recognition with Limited Data
2026
Cited
0
Divide-and-Conquer Approach to Holistic Cognition in High-Similarity Contexts with Limited Data
2026
Cited
0
Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization
2025
Cited
0
ALSA: Anchors in Logit Space for Out-of-Distribution Accuracy Estimation
2025
Cited
0
Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
2025
Cited
0
Resume (English only)
Co-authors
15 total
Mathieu Salzmann
Mathieu Salzmann
EPFL
Brian C. Lovell
Brian C. Lovell
Professor, The University of Queensland
Clinton Fookes
Clinton Fookes
Queensland University of Technology
Sarah M. Erfani
Sarah M. Erfani
Associate Professor, Computing and Information Systems, University of Melbourne
Christopher Leckie
Christopher Leckie
Professor, Computing and Information Systems, The University of Melbourne
Co-author 6
Co-author 6
Co-author 7
Co-author 7
James Bailey
James Bailey
Professor, School of Computing and Information Systems, University of Melbourne