Teaching
Courses and seminars taught by members of the Multimedia team at Télécom Paris and across Institut Polytechnique de Paris.
Most of our courses run in the IP Paris graduate programs (M1 / M2), at Télécom Paris’s engineering school, and in the École Polytechnique master’s tracks. We also supervise PhD theses and host research interns year-round (see Join us).
Audiovisual Transport: Principles, Protocols and Advanced TechniquesMN912
M2 Multimedia NetworkingAudiovisual traffic represents 80% of the global IP traffic, and is still continuously growing. This class explains the common principles behind all technologies used for audiovisual transport, and …
Responsible:
Jean Le FeuvreMultimodal Foundation ModelsIA709
MS Intelligence Artificielle multimodale et autonomeThis course aims to provide an in-depth understanding of fundamental multimodal models and generative artificial intelligence technologies. Students will explore the theoretical foundations, recent …
Responsible:
Stephan AlanizImage GenerationIA719
MS Intelligence Artificielle multimodale et autonomeRecent generative models are considered transformative tools that are redefining the field of artificial intelligence and computing in general. These models, often based on deep neural networks, play …
Responsible:
Enzo TartaglioneDeep Learning for Computer VisionAPM_5DA12_TP
M2 Data Science / M2 Data & AIThe course focuses on various advanced topics in the field. Students will delve into areas such as few-shot learning and domain adaptation, exploring techniques that enable models to learn from …
Responsible:
Jhony H. GiraldoMachine Learning with GraphsAPM_5DS30_TP
M2 Data & AIGraph data is ubiquitous. Any system with entities and relationships between them can be represented as a graph. Over the past decade, machine learning algorithms have made remarkable progress in …
Responsible:
Jhony H. GiraldoDeep Learning for MultimediaMN909
M2 Multimedia NetworkingThis course introduces the deep learning methods that underpin modern multimedia processing, covering images, video, and sequential data. Starting from the foundations of neural network learning, it …
Responsible:
Enzo TartaglioneEnd-to-End AI and Embedded AI for the IoTFFCNCERCERXIO23
Professional trainingThis course, belonging to a professional formation path, is structured in three days full time intensive formation, covering all the basis of deep learning (day 1), convolutional architectures and …
Responsible:
Enzo Tartaglione