Galadrielle Humblot-Renaux
Scholar

Galadrielle Humblot-Renaux

Google Scholar ID: ZkceHFcAAAAJ
Visual Analysis and Perception lab, Aalborg University
deep learningcomputer visionuncertaintyout-of-distribution detection
Citations & Impact
All-time
Citations
75
 
H-index
5
 
i10-index
3
 
Publications
12
 
Co-authors
0
 
Resume (English only)
Education
  • MSc in Robotics from Aalborg University, Denmark
  • Master's thesis advisors: Rikke Gade and Letizia Marchegiani
  • Thesis: “Where can I go?” Deep multi-modal scene understanding for outdoor navigation, proposing a severity-aware learning scheme, adaptive multi-modal fusion, and out-of-dataset evaluation
  • BSc in Electrical Engineering from the University of Twente, Netherlands
  • Developed interest in signal processing and first explored computer vision during undergraduate studies
Background
  • PhD student at the Visual Analysis & Perception Lab, Aalborg University, Denmark
  • Works at the intersection of computer vision and uncertainty
  • Interested in the trustworthiness of deep learning models and their evaluation
  • Recently focused on out-of-distribution (OOD) detection and data/label uncertainty
  • Recipient of a PhD fellowship from the Danish Data Science Academy (DDSA)
Co-authors
0 total
Co-authors: 0 (list not available)