CEA

Stage Human-Object Interaction benchmarking-Saclay-H/F

CEA  •  Onsite  •  9 days ago
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Job Description

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

2026-41776

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

Mathématiques, information scientifique, logiciel

Contrat

Stage

Intitulé de l'offre

Stage Human-Object Interaction benchmarking-Saclay-H/F

Sujet de stage

The interpretation of human interactions in images or videos has significantly improved with the emergence of Large Language Models (LLMs) and Vision-Language Models (VLMs). However, these large models, whether used directly or distilled into specialized models, still have significant limitations, particularly in accurately attributing interactions to the correct person in dense scenes and discriminating actions in the presence of objects.

Evaluation protocols and databases for this task do not always accurately reflect the true capabilities of the methods due to issues such as annotation imprecision or overly rigid semantic metrics. This internship tackles this problem.

Durée du contrat (en mois)

6 mois

Description de l'offre

Context

The interpretation of human interactions in images or videos has significantly improved with the emergence of Large Language Models (LLMs) and Vision-Language Models (VLMs). However, these large models, whether used directly or distilled into specialized models, still have significant limitations, particularly in accurately attributing interactions to the correct person in dense scenes and discriminating actions in the presence of objects.

Evaluation protocols and databases for this task do not always accurately reflect the true capabilities of the methods due to issues such as annotation imprecision or overly rigid semantic metrics.

What do we expect from you?

To address these problems, the internship will focus on the following objectives:

  • Conduct a state-of-the-art review of existing databases and analyze their biases (e.g., precision of detection boxes).
  • Propose a semi-automatic pipeline for correcting these biases.
  • Identify the biases and gaps in the metrics commonly used in the state-of-the-art.
  • Propose a new benchmark, addressing various application domains.
  • Evaluate the main state-of-the-art approaches on this benchmark.
  • Write a publication about this benchmark.

#Cea List

Moyens / Méthodes / Logiciels

AI, Deep Neural Network, Computer Vision, Human behavior analysis

Profil du candidat

Profile

  • Students in their 4th or 5th year of studies (M1, M2 or gap year)
  • Computer vision skills
  • Machine learning skills (deep learning, perception models, generative AI…)
  • Python proficiency in a deep learning framework (especially TensorFlow or PyTorch)

Localisation du poste

Site

Saclay

Localisation du poste

France, Ile-de-France, Essonne (91)

Ville

Saclay

Critères candidat

Diplôme préparé

Bac+5 - Master 2

Formation recommandée

AI, Deep Learning, Computer Vision

Possibilité de poursuite en thèse

Oui

Demandeur

Disponibilité du poste

01/02/2027

CEA

About CEA

The CEA is the French Alternative Energies and Atomic Energy Commission ("Commissariat à l'énergie atomique et aux énergies alternatives"​). It is a public body established in October 1945 by General de Gaulle. A leader in research, development and innovation, the CEA mission statement has two main objectives: To become the leading technological research organization in Europe and to ensure that the nuclear deterrent remains effective in the future.

The CEA is active in four main areas: low-carbon energies, defense and security, information technologies and health technologies. In each of these fields, the CEA maintains a cross-disciplinary culture of engineers and researchers, building on the synergies between fundamental and technological research.

The civilian programs of the CEA received 49% of their funding from the French government, and 30% from external sources (partner companies and the European Union).

The CEA had a budget of 4,3 billion euros.

The CEA is based in ten research centers in France, each specializing in specific fields. The laboratories are located in the Paris region, the Rhône-Alpes, the Rhône valley, the Provence-Alpes-Côte d'Azur region, Aquitaine, Central France and Burgundy. The CEA benefits from the strong regional identities of these laboratories and the partnerships forged with other research centers, local authorities and universities.

Industry
Biotech & Life Sciences
Company Size
10,000+ employees
Headquarters
Paris, FR
Year Founded
Unknown
Website
cea.fr
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