1 code implementation • 28 Feb 2024 • Giuseppe Cartella, Marcella Cornia, Vittorio Cuculo, Alessandro D'Amelio, Dario Zanca, Giuseppe Boccignone, Rita Cucchiara
Human attention modelling has proven, in recent years, to be particularly useful not only for understanding the cognitive processes underlying visual exploration, but also for providing support to artificial intelligence models that aim to solve problems in various domains, including image and video processing, vision-and-language applications, and language modelling.
1 code implementation • Frontiers in Neurorobotics 2022 • Alessandro D'Amelio, Giuseppe Boccignone
Finding the underlying principles of social attention in humans seems to be essential for the design of the interaction between natural and artificial agents.