Quentin Bouniot
Scholar

Quentin Bouniot

Google Scholar ID: CTK-Y2UAAAAJ
Postdoc at TUM and Helmholtz Munich
deep learningrepresentation learningexplainabilityuncertaintylearning with limited labels
Citations & Impact
All-time
Citations
105
 
H-index
6
 
i10-index
4
 
Publications
18
 
Co-authors
20
list available
Resume (English only)
Background
  • Currently a Post-Doctoral researcher in the Explainable Machine Learning group at TUM and Helmholtz Munich, led by Prof. Zeynep Akata.
  • Current research focuses on Uncertainty and Explainability in Deep Learning models.
  • PhD research centered on Few-shot Learning and Meta-Learning, specifically applied to Object Detection and Image Segmentation.
  • General research interests include Deep Representation Learning applied in Computer Vision.
  • As a Master's student, worked on Adversarial attacks and defenses for Person Re-Identification using Deep Metric Learning, as well as Image Classification.