STAGE - Spatio-temporally controlled visual content generation H/F

Job description: Objectives The objective of the internship is to explore the spatio-temporal grounding of visual concepts and to propose improved generation methods along these dimensions. Scientifically, this problem relates to lifelong-learning and fine-grained classification, two areas in which the LASTI lab researchers have proven expertise. The internship will build on this expertise to propose an innovative approach of the topic. After an initial step dedicated to bibliographic research, the internship objectives will be to: Analyze and improve an existing spatially and temporally diversified visual dataset Model the spatio-temporal variability of visual concepts in an actionable way Propose methods that improve the spatio-temporal grounding of synthetic content by adapting pretrained visual generators Introduce dedicated protocols for the comprehensive and sound evaluation of the contribution The internship is designed as an introduction to research, with the aim of publishing a scientific article if the results are conclusive. This initial work could be continued in a PhD thesis, within the broader framework of AI-related topics addressed by the LASTI lab Job-related benefits: Joining the CEA List and the LASTI means: Working in one of the most innovative research organizations in the world,  addressing societal challenges to build the world of tomorrow Discovering a rich ecosystem: privileged connections between industry and academia Conducting research autonomously and creatively: encouragement to promote results (scientific articles, patents, open-source codes...) Work in a young and dynamic team Benefit from an internal computing infrastructure with more than 300 state-of-the-art GPUs Receive a monthly stipend of  ~1300€ Have the opportunity to continue with a PhD or as a research engineer after the internship Work remotely (2 days/week), Receive a 75% reimbursement on public transportation, and benefit from the “mobili-jeune” aid to reduce rent

Institute description: 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 Textual and Visual Semantic Analysis (LASTI) conducts its research in the field of natural language processing and computer vision to extract, classify and generate information. The laboratory's research themes include learning with few data, trustworthiness and multimodality using discriminative and generative AI.

Your profile: Diploma: M2 or final year of engineering degree Skills: Machine learning skills (deep learning, multimedia models, generative AI…) Preferred: hands-on experience with visual content generation models Python proficiency in a deep learning framework (preferably PyTorch) In line with CEA's commitment to integrating people with disabilities, this job is open to all.

Level of qualification studied: Bac+5 - Diplôme École d'ingénieurs

Languages: English Fluent,French Intermediate