279 citations · 1.1k across the 55 of their papers we have counts for
12 papers · 1 filter
Recurrent Vision Transformer for Solving Visual Reasoning Problems
Nicola Messina, Giuseppe Amato, Fabio Carrara +2
Although convolutional neural networks (CNNs) showed remarkable results in many vision tasks, they are still strained by simple yet challenging visual reasoning problems. Inspired…
Generative Adversarial Networks for Astronomical Images Generation
Davide Coccomini, Nicola Messina, Claudio Gennaro +1
Space exploration has always been a source of inspiration for humankind, and thanks to modern telescopes, it is now possible to observe celestial bodies far away from us. With a gr…
A Leap among Quantum Computing and Quantum Neural Networks: A Survey
Fabio Valerio Massoli, Lucia Vadicamo, Giuseppe Amato +1
In recent years, Quantum Computing witnessed massive improvements in terms of available resources and algorithms development. The ability to harness quantum phenomena to solve comp…
Combining EfficientNet and Vision Transformers for Video Deepfake Detection
Davide Coccomini, Nicola Messina, Claudio Gennaro +1
Deepfakes are the result of digital manipulation to forge realistic yet fake imagery. With the astonishing advances in deep generative models, fake images or videos are nowadays ob…
Multi-Camera Vehicle Counting Using Edge-AI
Luca Ciampi, Claudio Gennaro, Fabio Carrara +3
This paper presents a novel solution to automatically count vehicles in a parking lot using images captured by smart cameras. Unlike most of the literature on this task, which focu…
Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features
Nicola Messina, Giuseppe Amato, Fabrizio Falchi +2
Cross-modal retrieval is an important functionality in modern search engines, as it increases the user experience by allowing queries and retrieved objects to pertain to different…
MAFER: a Multi-resolution Approach to Facial Expression Recognition
Fabio Valerio Massoli, Donato Cafarelli, Claudio Gennaro +2
Emotions play a central role in the social life of every human being, and their study, which represents a multidisciplinary subject, embraces a great variety of research fields. Es…
A Multi-resolution Approach to Expression Recognition in the Wild
Fabio Valerio Massoli, Donato Cafarelli, Giuseppe Amato +1
Facial expressions play a fundamental role in human communication. Indeed, they typically reveal the real emotional status of people beyond the spoken language. Moreover, the compr…
Hebbian Semi-Supervised Learning in a Sample Efficiency Setting
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro +1
We propose to address the issue of sample efficiency, in Deep Convolutional Neural Networks (DCNN), with a semi-supervised training strategy that combines Hebbian learning with gra…
Expression Recognition Analysis in the Wild
Donato Cafarelli, Fabio Valerio Massoli, Fabrizio Falchi +2
Facial Expression Recognition(FER) is one of the most important topic in Human-Computer interactions(HCI). In this work we report details and experimental results about a facial ex…
Solving the Same-Different Task with Convolutional Neural Networks
Nicola Messina, Giuseppe Amato, Fabio Carrara +2
Deep learning demonstrated major abilities in solving many kinds of different real-world problems in computer vision literature. However, they are still strained by simple reasonin…
Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation
Gabriele Lagani, Raffaele Mazziotti, Fabrizio Falchi +5
Previous work has shown that it is possible to train neuronal cultures on Multi-Electrode Arrays (MEAs), to recognize very simple patterns. However, this work was mainly focused to…