Present
Algorithm & AI engineer · Permanent role
Computer vision, algorithms and artificial intelligence.
YOANN DUPAS / CV
Experience & curriculum vitae
Computer vision, deep learning and multimodal perception. A journey between academic research and applied engineering.
Grenoble, France · yoann.dupas.pro@gmail.com
Download CV (PDF) ↓Experience
2022 — 2026
Doctoral research · CIFRE
Multimodal early fusion with attention mechanisms for pedestrian and vehicle detection.
2021 — 2022
Research & development engineer
WiseBIM · Chambéry
Research and development of document recognition solutions.
Mar — Aug 2021
Final-year engineering internship · Deep learning
WiseBIM · Chambéry
CNN development with Keras and TensorFlow; creation and annotation of training datasets.
2020
Research internship
I3S · Université Côte d’Azur
Research and development of deep neural networks, including LSTM and graph attention networks.
Education
2022 — 2026
PhD in Computer Science
Université Grenoble Alpes · MSTII
2018 — 2021
Engineering degree in Computer Science
Polytech Tours
2016 — 2018
Preparatory engineering cycle
Polytech Tours
Technical skills
Deep learning
PyTorch · TensorFlow · Keras · CNN · Transformers · LSTM · GAT
Computer vision
RGB / IR / LiDAR · YOLOv8 · RT-DETR · Attention · Segmentation
Engineering
Python · C++ · Docker · Git · CI/CD · MLOps · Quantization
Languages
French · Native / English · Fluent
Publications
2026
ICMV 2025 · SPIE / Conference paper
MEFA-MS: attention-based U-Net for pedestrian and vehicle detection
2026
Université Grenoble Alpes / Doctoral thesis
Approches avancées de fusion précoce d’images multimodales pour la détection de piétons et de véhicules
2025
ICCV Workshops 2025 · MIRA / Conference paper
Towards a Generalizable Fusion Architecture for Multimodal Object Detection
2025
VISAPP 2025 / Conference paper
MEFA: Multimodal Image Early Fusion with Attention Module for Pedestrian and Vehicle Detection
2024
EGC 2024 / Conference paper
Empreinte Énergétique de YoloV8 pour la Détection de Piétons et de Véhicules
LET’S CONNECT
Let’s connect.
For scientific and technical discussions about computer vision and multimodal perception.
Send me an email