Job description

Détail de l'offre

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

2024-33320

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

Autre

Contrat

Stage

Intitulé de l'offre

S05 – Video Anomaly Detection and Understanding H/F

Sujet de stage

This internship aims to develop Video Anomaly Detection (VAD) methods that deal with anomalies requiring high-level semantic information. Constraints about data frugality and application-specific anomalies are additional challenges.
Unlike One-Class approaches, we will assume some abnormal samples can be used in training (Weakly-Supervised, Few-Shot methods).
Beyond detecting anomalies, we will also address the challenge of understanding and explaining video anomaly by exploiting Vision-Language Models (VLM).
Internship objectives:
• Study state-of-the-art of Video Anomaly Detection and Explainability.
• Identify promising methods as baselines and perform experiments on public benchmarks.
• Propose improvements to the baselines and evaluate.
• If relevant, submit your contributions to an international conference or workshop for publication.

Durée du contrat (en mois)

6 mois

Description de l'offre

S05 – Video Anomaly Detection and Understanding

Internship context
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.

Missions
This internship aims to develop Video Anomaly Detection (VAD) methods that deal with anomalies requiring high-level semantic information. Constraints about data frugality and application-specific anomalies are additional challenges.
Unlike One-Class approaches, we will assume some abnormal samples can be used in training (Weakly-Supervised, Few-Shot methods).
Beyond detecting anomalies, we will also address the challenge of understanding and explaining video anomaly by exploiting Vision-Language Models (VLM).
Internship objectives:

Study state-of-the-art of Video Anomaly Detection and Explainability.
Identify promising methods as baselines and perform experiments on public benchmarks.
Propose improvements to the baselines and evaluate.
If relevant, submit your contributions to an international conference or workshop for publication.

Job-related benefits
Join CEA List and LVA as an intern to:

Work in one of the most innovative research organizations in the world, addressing societal challenges to build the world of tomorrow
Discover a rich ecosystem: privileged connections between the industrial and academic sectors
Conduct research autonomously and creatively: encouragement to valorize results (scientific articles, patents, open-source codes...)
Join a young and dynamic team
Benefit from an internal computing infrastructure with more than 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% reimbursement on public transportation costs, and benefit from the “mobili-jeune” aid to reduce rent costs...

More details onhttps://kalisteo.cea.fr/index.php/apply-for-a-job/

Desired profile

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)

In line with CEA's commitment to integrating people with disabilities, this job is open to all.

Offers “CEA”