99 citations · 131 across the 15 of their papers we have counts for
8 papers · 1 filter
Gravitational Models Explain Shifts on Human Visual Attention
Dario Zanca, Marco Gori, Stefano Melacci +1
Visual attention refers to the human brain's ability to select relevant sensory information for preferential processing, improving performance in visual and cognitive tasks. It pro…
Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach
Dario Zanca, Stefano Melacci, Marco Gori
Human visual attention is a complex phenomenon. A computational modeling of this phenomenon must take into account where people look in order to evaluate which are the salient loca…
Learning Visual Features Under Motion Invariance
Alessandro Betti, Marco Gori, Stefano Melacci
Humans are continuously exposed to a stream of visual data with a natural temporal structure. However, most successful computer vision algorithms work at image level, completely di…
Coherence Constraints in Facial Expression Recognition
Lisa Graziani, Stefano Melacci, Marco Gori
Recognizing facial expressions from static images or video sequences is a widely studied but still challenging problem. The recent progresses obtained by deep neural architectures,…
Cognitive Action Laws: The Case of Visual Features
Alessandro Betti, Marco Gori, Stefano Melacci
This paper proposes a theory for understanding perceptual learning processes within the general framework of laws of nature. Neural networks are regarded as systems whose connectio…
Motion Invariance in Visual Environments
Alessandro Betti, Marco Gori, Stefano Melacci
The puzzle of computer vision might find new challenging solutions when we realize that most successful methods are working at image level, which is remarkably more difficult than…