The MaLGa Center is excited to announce the 2025 edition of A Journey Through Deep Learning (JDL)! malga.unige.it/education/schools/jdl/ What: 40-hour PhD-level school designed for students, postdocs, faculty, and professionals seeking to enhance their understanding of both foundational and advanced aspects of deep learning. When: June 16–20, 2025, Where: MaLGa Center, hosted within the DIBRIS/DIMA building at the University of Genoa: Via Dodecaneso […]
Archive for the ‘Congress’ Category
MaLGa Summer PhD School in Italy | A Journey Through Deep Learning (JDL)
April 1st, 2025
Daniela Lopez de Luise 2025 Machine Learning for Earth Observation (ML4EO)
April 1st, 2025
Daniela Lopez de Luise ;word-spacing:0px”> Submit your abstract Register to the conference The conference will include hands-on training on foundation models by IBM, NEODAAS training on how to use ML models to process real-world remote sensing data, academic and industry presentations, research integrity talks, IET Image processing special issue calls, and many more. Participation There are several different ways […]
CfP: Interactive Art at ACM Multimedia 2025
April 1st, 2025
Daniela Lopez de Luise Call for Papers: Interactive Art at ACM Multimedia 2025 ACM Multimedia is the premier international conference in the area of multimedia within the field of computer science. The 2025 ACM Multimedia conference takes place in Dublin. Ireland, from 27 October – 31 October 2025. Multimedia research focuses on technologies that enable the use and exchange […]
17th CENTERIS * hybrid format * physical venue: Abu Dhabi, UAE * November 26-28 2025 * Submission deadline Apr 30
April 1st, 2025
Daniela Lopez de Luise International Conference on ENTERprise Information Systems […]
IJCB2025 Competition – Optical Flow based gait identification
April 1st, 2025
Daniela Lopez de Luise 🚀 Challenge: Exploring Dense Optical Flow for Gait Recognition 🔍 We are excited to announce the first Optical Flow Challenge, which will take place during the upcoming IJCB2025 and focuses on advancing biometric technologies through innovative optical flow methods. 🎯 Challenge Objective: Develop state-of-the-art optical flow estimation techniques applied to gait recognition, using the new, comprehensive […]




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