71 citations · 229 across the 21 of their papers we have counts for
5 papers · 1 filter
Assessing the Visual Enumeration Abilities of Specialized Counting Architectures and Vision-Language Models
Kuinan Hou, Jing Mi, Marco Zorzi +2
Counting the number of items in a visual scene remains a fundamental yet challenging task in computer vision. Traditional approaches to solving this problem rely on domain-specific…
Estimating the distribution of numerosity and non-numerical visual magnitudes in natural scenes using computer vision
Kuinan Hou, Marco Zorzi, Alberto Testolin
Humans share with many animal species the ability to perceive and approximately represent the number of objects in visual scenes. This ability improves throughout childhood, sugges…
Visual Enumeration Remains Challenging for Multimodal Generative AI
Alberto Testolin, Kuinan Hou, Marco Zorzi
Many animal species can approximately judge the number of objects in a visual scene at a single glance, and humans can further determine the exact cardinality of a set by deploying…
On the difficulty of learning and predicting the long-term dynamics of bouncing objects
Alberto Cenzato, Alberto Testolin, Marco Zorzi
The ability to accurately predict the surrounding environment is a foundational principle of intelligence in biological and artificial agents. In recent years, a variety of approac…
Perception of visual numerosity in humans and machines
Alberto Testolin, Serena Dolfi, Mathijs Rochus +1
Numerosity perception is foundational to mathematical learning, but its computational bases are strongly debated. Some investigators argue that humans are endowed with a specialize…