The Multimedia Computing (MMC) Group conducts research on new methodological and algorithmic concepts for analyzing, interpreting, enriching, modeling, searching and recommending multimedia data available in stand-alone collections or connected in (complex) networked data structures. Learn more about the MMC Group’s research domain and expertise, impact, and research philosophy.
The work being carried out in the MMC Group encompasses a broad palette of research directions in the domains of multimodal analysis and processing, network data computing and multimedia information systems, with a strong influx of the expertise from the domain of human factors. Learn more about the MMC Group’s research themes.
08 juni 2021
Publication award for Elvin Isufi
Elvin Isufi received the Audience Choice Award at the 2021 IEEE Data Science & Learning Workshop as co-writer of the publication: "Graph-Time Convolutional Neural Networks".
10 augustus 2020
Graph Signal Processing: Connections to Distributed Optimization and Deep Learning
Graph Signal Processing: Connections to Distributed Optimization and Deep Learning. A tutorial by Elvin Isufi at the International Conference on Signal Processing and Communications July 19 - 23, 2020