279 citations · 364 across the 24 of their papers we have counts for
5 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…
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…
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…
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…