In this internship, we propose to improve actual object discovery methods leveraging different semantic concepts by focusing ontemporal similarities and using pre-trained features of foundation models.
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 visionand 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.
• 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) In line with CEA's commitment to integrating people with disabilities, this job is open to all.
Bac+5 - Diplôme École d'ingénieurs
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