Claudio Gennaro

research

∙ 07/30/2023

Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey

Recently emerged technologies based on Deep Learning (DL) achieved outst...

0 Gabriele Lagani, et al. ∙

research

∙ 07/30/2023

Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey

For a long time, biology and neuroscience fields have been a great sourc...

0 Gabriele Lagani, et al. ∙

research

∙ 03/09/2023

Detecting Images Generated by Diffusers

This paper explores the task of detecting images generated by text-to-im...

0 Davide Alessandro Coccomini, et al. ∙

research

∙ 11/20/2022

MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection

In this paper, we introduce MINTIME, a video deepfake detection approach...

0 Davide Alessandro Coccomini, et al. ∙

research

∙ 08/24/2022

A Spatio-Temporal Attentive Network for Video-Based Crowd Counting

Automatic people counting from images has recently drawn attention for u...

12 Marco Avvenuti, et al. ∙

research

∙ 07/07/2022

FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level

Learning algorithms for Deep Neural Networks are typically based on supe...

0 Gabriele Lagani, et al. ∙

research

∙ 06/28/2022

Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection

Deepfake Generation Techniques are evolving at a rapid pace, making it p...

0 Davide Alessandro Coccomini, et al. ∙

research

∙ 05/18/2022

Deep Features for CBIR with Scarce Data using Hebbian Learning

Features extracted from Deep Neural Networks (DNNs) have proven to be ve...

27 Gabriele Lagani, et al. ∙

research

∙ 04/28/2022

Actor-Critic Scheduling for Path-Aware Air-to-Ground Multipath Multimedia Delivery

Reinforcement Learning (RL) has recently found wide applications in netw...

1 Achilles Machumilane, et al. ∙

research

∙ 03/15/2022

MOBDrone: a Drone Video Dataset for Man OverBoard Rescue

Modern Unmanned Aerial Vehicles (UAV) equipped with cameras can play an ...

16 Donato Cafarelli, et al. ∙

research

∙ 11/29/2021

Recurrent Vision Transformer for Solving Visual Reasoning Problems

Although convolutional neural networks (CNNs) showed remarkable results ...

0 Nicola Messina, et al. ∙

research

∙ 11/22/2021

Generative Adversarial Networks for Astronomical Images Generation

Space exploration has always been a source of inspiration for humankind,...

4 Davide Coccomini, et al. ∙

research

∙ 07/06/2021

Combining EfficientNet and Vision Transformers for Video Deepfake Detection

Deepfakes are the result of digital manipulation to obtain credible vide...

0 Davide Coccomini, et al. ∙

research

∙ 06/09/2021

A Communication Layer for Integrated Sensors and Robotic ecology Solutions to Ambient Intelligence

This paper presents a communication framework built to simplify the cons...

0 Giuseppe Amato, et al. ∙

research

∙ 06/05/2021

Multi-Camera Vehicle Counting Using Edge-AI

This paper presents a novel solution to automatically count vehicles in ...

0 Luca Ciampi, et al. ∙

research

∙ 06/01/2021

Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features

Cross-modal retrieval is an important functionality in modern search eng...

0 Nicola Messina, et al. ∙

research

∙ 05/06/2021

MAFER: a Multi-resolution Approach to Facial Expression Recognition

Emotions play a central role in the social life of every human being, an...

0 Fabio Valerio Massoli, et al. ∙

research

∙ 03/16/2021

Hebbian Semi-Supervised Learning in a Sample Efficiency Setting

We propose to address the issue of sample efficiency, in Deep Convolutio...

0 Gabriele Lagani, et al. ∙

research

∙ 01/22/2021

Expression Recognition Analysis in the Wild

Facial Expression Recognition(FER) is one of the most important topic in...

0 Donato Cafarelli, et al. ∙

research

∙ 01/22/2021

Solving the Same-Different Task with Convolutional Neural Networks

Deep learning demonstrated major abilities in solving many kinds of diff...

0 Nicola Messina, et al. ∙

research

∙ 12/22/2020

Training Convolutional Neural Networks With Hebbian Principal Component Analysis

Recent work has shown that biologically plausible Hebbian learning can b...

0 Gabriele Lagani, et al. ∙

research

∙ 12/18/2020

Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation

Previous work has shown that it is possible to train neuronal cultures o...

8 Gabriele Lagani, et al. ∙

research

∙ 11/16/2020

Combining GANs and AutoEncoders for Efficient Anomaly Detection

In this work, we propose CBiGAN – a novel method for anomaly detection i...

118 Fabio Carrara, et al. ∙

research

∙ 08/12/2020

Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders

Despite the evolution of deep-learning-based visual-textual processing s...

0 Nicola Messina, et al. ∙

research

∙ 08/06/2020

The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval

In this paper, we describe VISIONE, a video search system that allows us...

0 Giuseppe Amato, et al. ∙

research

∙ 04/20/2020

Unsupervised Vehicle Counting via Multiple Camera Domain Adaptation

Monitoring vehicle flow in cities is a crucial issue to improve the urba...

0 Luca Ciampi, et al. ∙

research

∙ 01/09/2020

Virtual to Real adaptation of Pedestrian Detectors for Smart Cities

Pedestrian detection through computer vision is a building block for a m...

16 Luca Ciampi, et al. ∙

research

∙ 04/19/2016

Using Apache Lucene to Search Vector of Locally Aggregated Descriptors

Surrogate Text Representation (STR) is a profitable solution to efficien...

0 Giuseppe Amato, et al. ∙

research

∙ 04/14/2016

On Reducing the Number of Visual Words in the Bag-of-Features Representation

A new class of applications based on visual search engines are emerging,...

0 Giuseppe Amato, et al. ∙

research

∙ 03/31/2016

Large Scale Deep Convolutional Neural Network Features Search with Lucene

In this work, we propose an approach to index Deep Convolutional Neural ...

0 Claudio Gennaro, et al. ∙

Claudio Gennaro

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