CV

Basics

Name Victor Quétu
Label PhD Student
Email victor.quetu@telecom-paris.fr
Url https://vgcq.github.io/
Summary Third-Year PhD Student at Télécom Paris, Institut Polytechnique de Paris

Education

  • 2022.10 - present

    Palaiseau, France

    PhD
    Télécom Paris, Institut Polytechnique de Paris
    Deep Learning for Computer Vision
    • Deep Neural Networks Compresion
    • Deep Learning Privacy
    • Computer Vision
  • 2019.09 - 2022.09

    Cergy, France

    Master's
    École Nationale Supérieure de l'Électronique et de ses Applications (ENSEA)
    Signal Processing & Artificial Intelligence
    • Computer Science
    • Signal Processing
    • Mathematics
    • Electronics
  • 2017.06 - 2019.09

    Dunkerque, France

    Intensive Two-Year Preparatory Program for Competitive Engineering Schools
    Lycée Jean Bart
    Mathematics & Physics
    • Mathematics
    • Physics

Work

  • 2022.02 - 2022.08

    Gennevilliers, France

    Research Intern
    Thales
    Worked on communication systems operating on wide-band channels.
    • Developed deep learning algorithms using pruning to improve the performance-complexity trade-off of the receiver in communication systems.
  • 2021.05 - 2021.08

    Chicago, USA

    Research Intern
    ECASP Research Laboratory - Illinois Institute of Technology
    Built an Object Recognition and Map Building Robot with ROS.
    • Implemented YOLOv2 and a SLAM algorithm on an embedded device (Jetson Nano).

Languages

French
Native speaker
English
Fluent

Awards

Interests

Model Compression
Unstructured/Structured Pruning
Token Pruning
Efficient Inference Approaches
Computational Efficiency of Vision Models
AI for Good
Privacy-Preserving Machine Learning Algorithms
Bias & Fairness