I am a born maker and entrepreneur, at the age of 9 I designed my first BASIC program on a Vtech Genius 5000.
Today I am passionate by computer science and computer vision with emphasis on deep learning and object recognition.
After more than 6 years working on computer vision, I create my company to set up a new value proposal on vision and especially on object recognition.
MILI the connected mirror is the result of fashion and technology, that provides personal services and styling advices. MILI brings you an unrivaled user experience, integrating the latest advances made in computer vison and AI.
The project is currently managed by EuraTechnologies
My research focus on re-identification of peoples in camera networks, dedicated to the management of passenger flows in multimodal context.
I designed methods based on superpixels segmentation combined with graph-cuts approach and machine learning classification and finally optimised with genetic algorithms.
People silhouette extraction from people detection bounding boxes in images
Pattern Recognition Letters (PRL 2017)
A graph based people silhouette segmentation using combined probabilities extracted from appearance, shape template prior, and color distributions
Advanced Concepts for Intelligent Vision Systems (ACIVS 2015)
A Genetically Optimized Graph-based People extraction method for embedded transportation systems real conditions
Intelligent Transport Systems (ITS 2014)
Une méthode génétiquement optimisée d’extraction de personnes par coupe de graphe de superpixels pour l’environnement embarqué
Caractérisation d’environnement urbain par analyse de segments et de textures
Engineer internship - laboratory "Système Et Transports (SET)" - 2014
+33 (0)6 37 06 97 71
Christophe Coniglio - email@example.com