Engineer Position Computer Vision - Sophia Antipolis, France - Inria

Inria

Entreprise vérifiée

Sophia Antipolis, France

il y a 3 semaines

Posté par:

Sophie Dupont

beBee Recruiter

Description

Le descriptif de l'offre ci-dessous est en Anglais_

Type de contrat :

CDD

Contrat renouvelable :
Oui

Niveau de diplôme exigé :
Bac + 5 ou équivalent

Fonction :
Chercheur contractuel

A propos du centre ou de la direction fonctionnelle:
The Inria Sophia Antipolis - Méditerranée center counts 34 research teams as well as 7 support departments.

The center's staff (about 500 people including 320 Inria employees) is made up of scientists of different nationalities (250 foreigners of 50 nationalities), engineers, technicians and administrative staff.

1/3 of the staff are civil servants, the others are contractual agents. The majority of the center's research teams are located in Sophia Antipolis and Nice in the Alpes-Maritimes. Four teams are based in Montpellier and two teams are hosted in Bologna in Italy and Athens.

The Center is a founding member of Université Côte d'Azur and partner of the I-site MUSE supported by the University of Montpellier.

Contexte et atouts du poste:

Team
The STARS research team combines advanced theory with cutting-edge practice focusing on cognitive vision systems.

Scientific context

This Project aims to detect critical situations in the daily life of elderly people living at home alone.

We believe that a system that can detect potentially dangerous situations will give peace of mind to frail older people as well as to their caregivers.

This will require not only recognition of ADLs but also an evaluation of the way and timing in which they are being carried out.

The users we are targeting should be in relatively good health condition.

We do not want to address serious dementia problems but intend to give support to people who suffer from age-related forgetfulness (in many cases the start of an Alzheimer's condition).

The users should live in their own house by themselves and generally be able to carry out their day-to-day activities.

The system we want to develop is intended to help them and their relatives feel more comfortable because they know potentially dangerous situations will be detected and reported to caregivers if necessary.

Mission confiée:

To address the limitations of existing vision foundation models, we develop a novel approach that utilizes lightweight and efficient
skeleton-based foundation models that will be trained on
a massive dataset of skeleton sequences compiled from diverse action recognition datasets such as EGO-EXO4d, HVU, CAP, Kinetics, YOGA..

This comprehensive dataset, encompassing a wide range of human actions, will be generated using state-of-the-art pose estimation methods such as HRNet, LCRNet, and OpenPose.

To further enhance the dataset's diversity, we will employ data augmentation techniques, including viewpoint rotation and action composition using the Linear Action Composition (LAC) algorithm [4].

These models will be trained using self-supervised learning techniques, which enable them to extract generic representations from the vast skeleton sequence data.

Then, using different benchmark datasets such as TSU [1], Charades, PKU, and NTU, the model will be evaluated and validated for various downstream tasks like Action recognition, detection, and anticipation.

Principales activités:

The Inria STARS team is seeking an engineer with a strong background in computer vision, deep learning, and machine learning.

Main activities:

Analyze the requirements of doctors and patients/endusers and Study the limitations of existing solutions.
Propose a new algorithm for detecting the behaviors of patients/endusers
Evaluate and optimize the proposed algorithm on the targeted video datasets
Oral presentation and Write reports
Submit a scientific paper to a conference

Compétences:

With theoretical knowledge in Computer Vision, OpenCV, Mathematics, Deep Learning (PyTorch, TensorFlow), and technical background in C++ and Python programming, and Linux.

Avantages:

Subsidized meals
Partial reimbursement of public transport costs
Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
Social, cultural and sports events and activities
Access to vocational training

Rémunération:

From 2692 € gross monthly (according to degree and experience)

Informations générales:

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Thème/Domaine: Modèles et méthodes stochastiques
Calcul Scientifique (BAP E)

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Ville: Sophia-Antipolis

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Centre Inria: Centre Inria d'Université Côte d'Azur
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Date de prise de fonction souhaitée:
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Durée de contrat: 12 mois
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Date limite pour postuler:

Consignes pour postuler:

Before applying, it is strongly recommended that you contact the Scientific manager beforehand.

Sécurité défense:

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