Rapidly maturing technologies for sensing and activity recognition can provide
unprecedented access to the complex structure daily activity and interaction, promising new …

There have been sustained efforts toward using naturalistic methods in developmental
science to measure infant behaviors in the real world from an egocentric perspective …

Nature is dynamic and interdependent. Yet we typically study and understand it as a
hierarchy of independent static things (objects, factors, capacities, traits, attributes) with well …

Across the lifespan, humans are biased to look first at what is easy to see, with a handful of
well-documented visual saliences shaping our attention (eg, Itti & Koch, 2001). These …

Young children develop at a breathtaking rate. Within just a few years, they change from
helpless newborns into schoolchildren with all the abilities and skills needed to start formal …

People with autism spectrum disorder (ASD) show atypical attention to social stimuli and
aberrant gaze when viewing images of the physical world. However, it is unknown how they …

Contrastive language-image pre-training has emerged to be a simple yet effective way to
train largescale vision-language models [165, 83, 181, 220] that are capable of learning …

Our experience of the world is multimodal, however deep learning networks have been
traditionally designed for and trained on unimodal inputs such as images, audio segments …

Abstract People with Autism Spectrum Disorder (ASD) show atypical attention to social
stimuli and aberrant gaze when viewing images of the physical world. However, it is …

L'esplorazione visuo-tattile da parte del bambino, la denominazione contingente del
caregiver e l'attenzione condivisa della diade (mamma-bambino) aiuta e sostiene il …