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Asma BraziAB

Asma Brazi

PhD | Computer Vision | Deep Learning

€600/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Asma

PhD in Computer Vision (ENPC & CEA)

  • I assist companies in the design and training of AI models for Computer Vision, selecting the most effective state-of-the-art approaches.
  • I analyze the robustness of your solutions to identify their limitations and propose innovative improvements, ensuring performance at the cutting edge of current technology.

My key expertise

Computer Vision & Real-time Perception
- Object detection and segmentation (RT-DETR, YOLO, SAM, Faster R-CNN…)
- Visual representation learning (DINOv2, self-supervised learning)
- Real-time multi-object tracking (ByteTrack, BoT-SORT) in complex scenes
- Automatic object counting and dynamic environment flow analysis
- Rigid/deformable object pose estimation (ViTPose, RTMPose, SurbEmb)

Machine Learning & Deep Learning
- Supervised and unsupervised models (classification, regression, clustering)
- Deep architectures: CNN, Transformers, Vision Transformers (ViT)
- Time series prediction and analysis models
- Robust learning on noisy, incomplete, or imbalanced data
- Robustness optimization in real-world conditions (occlusions, sensor variations, uncontrolled environments).

Scientific Writing
- Two major international publications during my PhD, Corr2Distrib (RAL 2025) and BOP-Distrib (WACV 2026).
- Popular science article on my thesis for the book "Univers en création" by Hélène Launois, published by CEA.
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • CentraleSupélec
    Teaching Assistant M2 MVA
    PUBLIC SECTOR
    October 2023 - January 2024 (3 months)
    Gif-sur-Yvette, France
    Vision Transformers, GANs, Optimization, NLP, Reinforcement Learning, Representation Learning
    Deep Learning Machine learning Computer Vision Python Pytorch
  • SORBONNE UNIVERSTÉ
    Teaching Assistant L2 Computer Science
    EDUCATION AND E-LEARNING
    September 2023 - December 2023 (3 months)
    Paris, France
    The essential elements of Java, inheritance, polymorphism, encapsulation, abstraction, interfaces, exception handling, file I/O, and serialization.
    Java
  • CEA
    PhD in Signal, Image and Automatic Control
    July 2022 - July 2025 (3 years)
    Palaiseau, France
    This work focuses on estimating the 6D object pose distribution from a single RGB image and a 3D model, combining computer vision and deep learning to handle ambiguities, occlusions, and uncertainties.
    Thesis Director: Vincent Lepetit
    Two publications: RA-L 2025 and WACV 2026
    Pytorch OpenCV Computer Vision 3D Perception Deep Learning

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Education

  • PhD in Signal, Image and Automatic Control
    École nationale des ponts et chaussées (ENPC)
    2025
    Estimation de la distribution des poses d'objets en 6D à partir d'une seule image RGB et d'un modèle d'objet. Supervisée par Vincent LEPETIT.
  • Master in Vision and Intelligent Machines
    Université Paris Cité (ex Université Paris-Descartes)
    2021
    Apprentissage automatique, imagerie 3D, analyse d'images et de vidéos, imagerie biomédicale, reconnaissance des formes et tracking

Skill set

Categories