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S3P 2024 : IEEE-EURASIP Summer School on Signal Processing

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Link: https://www.grip.unina.it/s3p2024
 
When Sep 23, 2024 - Sep 27, 2024
Where Capri, Italy
Submission Deadline Apr 20, 2024
Notification Due May 5, 2024
Final Version Due May 30, 2024
Categories    summer school   workshop   phd
 

Call For Papers

2024 IEEE-EURASIP Summer School on Signal Processing (S3P-2024) - Capri 23-27 September 2024
"Understanding and modeling the world around us"

The 2024 IEEE-EURASIP Summer School on Signal Processing (S3P-2024) is the 10th edition of a successful series, organized by the Italian Telecommunications and Information Technologies Group – GTTI with the support of the IEEE Signal Processing Society and EURASIP. S3P-2024 represents a stimulating environment where top researchers in signal processing and related disciplines share their ideas on fundamental and ground-breaking methodologies in the field. It provides PhD students and researchers with a unique opportunity to interact with leading scientists and network with peer students.

This edition will take place on the island of Capri (Italy) in the gulf of Napoli from 23 to 27 September 2024.

LIST OF SPEAKERS

Speakers come from both academia and industry, from the United States and Europe, and cover a wide range of research fields, from signal and image processing to machine learning, computer vision and computer graphics:

Angela Dai (Technical University of Munich, Germany)
Learning to Understand the 3D World
Alexei (Alyosha) Efros (University of California, Berkeley, USA)
Algorithms vs Data: what's more important?
Irfan Essa (Georgia Institute of Technology and Google, USA)
Generative Video: New Models, Applications and Challenges
Marco Gori (University of Siena, Italy)
Collectionless machine learning
Tal Hassner (Meta, USA)
Real Faces, Fake Faces: From AI to Responsible AI
Koki Nagano (NVIDIA Research, USA)
AI-Mediated Reality: From Synthesis To Verification
Matthias Nießner (Technical University of Munich, Germany)
Photo-realistic AI Avatars
Stefano Soatto (University of California Los Angeles, USA)
Representation Learning for Concepts and Meanings: From Inductive Learning of Signals to Reasoning about the World
Tuomas Virtanen (University of Tampere, Finland)
Computational analysis of everyday acoustic scenes: methods, data, and evaluation


SCIENTIFIC PROGRAM
Giovanni Poggi, Università Federico II di Napoli
Luisa Verdoliva, Università Federico II di Napoli

DEADLINES
Application deadline: April 20, 2024
Notification of acceptance: May 5, 2024
Registration deadline for accepted participants: May 30, 2024
Accommodation at partner hotels: From May 10 to May 30, 2024

APPLICATION
You will find the detailed school fee here (https://www.grip.unina.it/s3p2024/registration)
The fee will include materials, coffee breaks, lunches, a social event (guided tour of the island), a welcome dinner and a social dinner. Depending on the sponsorships, other extras will be covered.

ACCOMODATIONS
Anacapri is a small and tourist town, we have some accommodation solutions in partner hotels. The expected rate is 350/450€ for a shared room (double or triple) that you will pay directly to the hotel in advance. Other details will be shared soon.

VENUE
S3P-2024 will be hosted in the island of Capri, with lectures given in the Multimedia Center "Mario Cacace", in Anacapri, one of the two municipalities of the island.

Capri is widely known for its breathtaking natural beauties, its historical and cultural heritage and, not least, its lively environment, with elegant hotels and luxury shops mixed with typical narrow streets and colorful houses in the Mediterranean style. For all these reasons, Capri attracts a large number of visitors from all over the world and in all seasons of the year.

Capri can be reached in about 45 minutes from Naples, the largest city in southern Italy, by speedboat. A few kilometers south of Naples lie the Pompei ruins, and further south the Sorrento and Amalfi coast.

MORE INFORMATION
Website: https://www.grip.unina.it/s3p2024/venue
Email: s3p2024capri@gmail.com

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