Informations générales
Entité de rattachement
Le CEA est un acteur majeur de la recherche, au service des citoyens, de l'économie et de l'Etat.
Il apporte des solutions concrètes à leurs besoins dans quatre domaines principaux : transition énergétique, transition numérique, technologies pour la médecine du futur, défense et sécurité sur un socle de recherche fondamentale. Le CEA s'engage depuis plus de 75 ans au service de la souveraineté scientifique, technologique et industrielle de la France et de l'Europe pour un présent et un avenir mieux maîtrisés et plus sûrs.
Implanté au cœur des territoires équipés de très grandes infrastructures de recherche, le CEA dispose d'un large éventail de partenaires académiques et industriels en France, en Europe et à l'international.
Les 20 000 collaboratrices et collaborateurs du CEA partagent trois valeurs fondamentales :
• La conscience des responsabilités
• La coopération
• La curiosité
Référence
2024-33210
Description de l'unité
Based in Saclay (Essonne), the LIST is one of the two institutes of CEA Tech, the Technological Research Division of the CEA. Dedicated to intelligent digital systems, its mission is to carry out technological developments of excellence on behalf of industrial partners, in order to create value.
Within the LIST, the Laboratory of Vision and Learning for Scene Analysis (LVA) conducts its research in the field of computer vision and artificial intelligence for the perception of intelligent and autonomous systems. The laboratory's research themes include visual recognition, behavior and activity analysis, large-scale automatic annotation, and perception and decision models.
Description du poste
Domaine
Systèmes d'information
Contrat
Stage
Intitulé de l'offre
Image Editing via Natural Language for Complex Scene Representation H/F
Sujet de stage
This internship focuses on the emerging field of natural language-guided image editing, specifically targeting the generation and modification of complex scenes based on verbal descriptions. The candidate will work on designing and implementing novel methods that can interpret natural language to manipulate or generate detailed images representing multifaceted scenarios (e.g., crowd scenes, cityscapes, interactions between multiple objects).
Durée du contrat (en mois)
[6 mois]
Description de l'offre
Join us as an intern!
CEA Tech Corporate from CEA Tech on Vimeo.
As an intern at the CEA, you will have the opportunity to work in a world-renowned research environment. Our teams are made up of passionate and dedicated experts, providing a setting conducive to learning and collaboration. You will have access to cutting-edge equipment and top-tier research resources to successfully carry out your tasks.
Missions
This internship focuses on the emerging field of natural language-guided image editing, specifically targeting the generation and modification of complex scenes based on verbal descriptions. The candidate will work on designing and implementing novel methods that can interpret natural language to manipulate or generate detailed images representing multifaceted scenarios (e.g., crowd scenes, cityscapes, interactions between multiple objects).
This project presents several key challenges, including:
•Scene Complexity: Managing multiple objects and their relationships in a scene adds significant complexity. The goal is to maintain coherence and accuracy in the edited images, even when the scenes described involve intricate interactions between various elements.
•Multimodal Integration: Successfully combining linguistic inputs with visual inputs to obtain visual outputs, is a complex problem requiring seamless interaction between natural language processing (NLP) and computer vision models.
The objectives of this internship are to:
•Investigate current methods for natural language-based image generation and editing of complex scenes;
•Develop an innovative approach for editing complex scenes using natural language descriptions;
•Demonstrate significant improvements in the accuracy and detail of generated images;
•Contribute to academic research through potential publications and/or patents.
To apply, contact the laboratory with a CV and cover letter: lva-stages@cea.fr
More details on https://kalisteo.cea.fr/index.php/apply-for-a-job/
Profil du candidat
Qualifications
- Students in their 5th year of studies (M2)
- Computer vision skills
- Machine learning skills (deep learning, LLM, VLM, generative AI…)
- Python proficiency in a deep learning framework (especially PyTorch or TensorFlow)
Join us, come develop your skills and acquire new ones!
Still have doubts?
Join CEA List and LVA as an intern to:
•Work in one of the most innovative research organizations in the world (ranked in the global top 100, top 3 in France), addressing societal challenges to build the world of tomorrow
•Discover a rich ecosystem: privileged connections between the industrial and academic sectors
•Conduct research in an environment where autonomy and creativity are recognized, and where valorizing results is encouraged (publication of scientific articles, patents, and sharing of open-source code whenever possible).
•Join a young and dynamic team made up of research engineers, PhD students, post-doctoral researchers, and interns.
•Benefit from an internal computing infrastructure equipped with around 300 state-of-the-art GPUs.
•Receive a stipend between €1300 and €1400 per month.
•Have the opportunity to continue with a PhD or as a research engineer after the internship.
•Have the possibility of remote work, receive a 75% (instead of 50%) reimbursement on public transportation costs, and benefit from the "mobili-jeune" aid to reduce rent costs…
In accordance with the commitments made by the CEA to promote the integration of people with disabilities, this position is open to everyone. The CEA offers accommodations and/or organizational possibilities for the inclusion of workers with disabilities
Localisation du poste
Site
Saclay
Localisation du poste
France, Ile-de-France, Essonne (91)
Ville
Saclay
Critères candidat
Langues
Anglais (Intermédiaire)
Diplôme préparé
Bac+5 - Master of Science
Possibilité de poursuite en thèse
Oui
Demandeur
Disponibilité du poste
03/02/2025