Consiglio Nazionale delle Ricerche

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...

Fabio Carrara, et al. ∙

research

∙ 04/21/2022

OSSO: Obtaining Skeletal Shape from Outside

We address the problem of inferring the anatomic skeleton of a person, i...

Marilyn Keller, et al. ∙

research

∙ 11/26/2019

Word-Class Embeddings for Multiclass Text Classification

Pre-trained word embeddings encode general word semantics and lexical re...

Alejandro Moreo, et al. ∙

research

∙ 03/12/2022

Enhancing crowd flow prediction in various spatial and temporal granularities

Thanks to the diffusion of the Internet of Things, nowadays it is possib...

Marco Cardia, et al. ∙

research

∙ 03/07/2019

Out-domain examples for generative models

Deep generative models are being increasingly used in a wide variety of ...

Dario Pasquini, 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...

Luca Ciampi, 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 ...

Donato Cafarelli, et al. ∙

research

∙ 02/11/2022

Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?

Recently, Deep Learning-based methods for inverse tone-mapping standard ...

Francesco Banterle, et al. ∙

research

∙ 01/10/2022

Quantum activation functions for quantum neural networks

The field of artificial neural networks is expected to strongly benefit ...

Marco Maronese, et al. ∙

research

∙ 07/14/2021

TEACHING – Trustworthy autonomous cyber-physical applications through human-centred intelligence

This paper discusses the perspective of the H2020 TEACHING project on th...

Davide Bacciu, et al. ∙

research

∙ 04/20/2020

Transformer Reasoning Network for Image-Text Matching and Retrieval

Image-text matching is an interesting and fascinating task in modern AI ...

Nicola Messina, et al. ∙

research

∙ 05/16/2022

L3-Net Deep Audio Embeddings to Improve COVID-19 Detection from Smartphone Data

Smartphones and wearable devices, along with Artificial Intelligence, ca...

Mattia Giovanni Campana, 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...

Marco Avvenuti, et al. ∙

research

∙ 01/13/2022

Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation

The marine ecosystem is changing at an alarming rate, exhibiting biodive...

Michele Mancusi, et al. ∙

research

∙ 07/29/2022

ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval

Image-text matching is gaining a leading role among tasks involving the ...

Nicola Messina, et al. ∙

research

∙ 03/14/2019

Self-Organization and Artificial Life

Self-organization can be broadly defined as the ability of a system to d...

Carlos Gershenson, et al. ∙

research

∙ 08/20/2019

Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild"

We present the first method to perform automatic 3D pose, shape and text...

Silvia Zuffi, et al. ∙

research

∙ 09/28/2021

Image scaling by de la Vallée-Poussin filtered interpolation

We present a new image scaling method both for downscaling and upscaling...

Donatella Occorsio, et al. ∙

research

∙ 05/16/2022

Autonomous Open-Ended Learning of Tasks with Non-Stationary Interdependencies

Autonomous open-ended learning is a relevant approach in machine learnin...

Alejandro Romero, et al. ∙

research

∙ 06/18/2021

hSMAL: Detailed Horse Shape and Pose Reconstruction for Motion Pattern Recognition

In this paper we present our preliminary work on model-based behavioral ...

Ci Li, et al. ∙

research

∙ 11/22/2021

Generative Adversarial Networks for Astronomical Images Generation

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

Davide Coccomini, et al. ∙

research

∙ 07/29/2019

CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting

This paper introduces CloudLSTM, a new branch of recurrent neural networ...

Chaoyun Zhang, et al. ∙

research

∙ 03/07/2022

Trajectory Test-Train Overlap in Next-Location Prediction Datasets

Next-location prediction, consisting of forecasting a user's location gi...

Massimiliano Luca, 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...

Achilles Machumilane, et al. ∙

research

∙ 03/25/2020

Quantum Semantic Learning by Reverse Annealing an Adiabatic Quantum Computer

Boltzmann Machines constitute a class of neural networks with applicatio...

Lorenzo Rocutto, et al. ∙

research

∙ 12/05/2019

Cross-Resolution Learning for Face Recognition

Convolutional Neural Networks have reached extremely high performances o...

Fabio Valerio Massoli, et al. ∙

research

∙ 01/14/2019

DeepFlash: Turning a Flash Selfie into a Studio Portrait

We present a method for turning a flash selfie taken with a smartphone i...

Nicola Capece, et al. ∙

research

∙ 05/07/2019

ArCo: the Italian Cultural Heritage Knowledge Graph

ArCo is the Italian Cultural Heritage knowledge graph, consisting of a n...

Valentina Anita Carriero, et al. ∙

research

∙ 10/07/2014

Ontology-based Representation and Reasoning on Process Models: A Logic Programming Approach

We propose a framework grounded in Logic Programming for representing an...

Fabrizio Smith, 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...

Davide Coccomini, et al. ∙

research

∙ 04/17/2018

Pooling or Sampling: Collective Dynamics for Electrical Flow Estimation

The computation of electrical flows is a crucial primitive for many rece...

Luca Becchetti, et al. ∙

research

∙ 02/13/2018

Prediction of next career moves from scientific profiles

Changing institution is a scientist's key career decision, which plays a...

Charlotte James, et al. ∙

research

∙ 01/10/2023

Enabling Listening Suspension in the Time Slotted Channel Hopping Protocol

Time slotted channel hopping provides reliable and deterministic communi...

Gianluca Cena, et al. ∙

research

∙ 01/27/2020

A domain decomposition method for Isogeometric multi-patch problems with inexact local solvers

In Isogeometric Analysis, the computational domain is often described as...

Michał Bosy, et al. ∙

research

∙ 09/29/2021

Convex polyhedral meshing for robust solid modeling

We introduce a new technique to create a mesh of convex polyhedra repres...

Lorenzo Diazzi, et al. ∙

research

∙ 09/23/2021

Energy efficient distributed analytics at the edge of the network for IoT environments

Due to the pervasive diffusion of personal mobile and IoT devices, many ...

Lorenzo Valerio, et al. ∙

research

∙ 06/10/2019

Laplacian Spectral Basis Functions

Representing a signal as a linear combination of a set of basis function...

G. Patanè, et al. ∙

research

∙ 04/13/2020

Using altmetrics for detecting impactful research in quasi-zero-day time-windows: the case of COVID-19

On December 31st 2019, the World Health Organization (WHO) China Country...

Erik Boetto, et al. ∙

research

∙ 04/05/2021

Some considerations about reviewing and open-access in scientific publishing

Scientific research changed profoundly over the last 30 years, in all it...

Paolo Politi, et al. ∙

research

∙ 09/14/2017

Enhancing Predicate Pairing with Abstraction for Relational Verification

Relational verification is a technique that aims at proving properties t...

Emanuele De Angelis, et al. ∙

research

∙ 02/25/2022

Reachability analysis in stochastic directed graphs by reinforcement learning

We characterize the reachability probabilities in stochastic directed gr...

Corrado Possieri, et al. ∙

research

∙ 11/20/2021

CINNAMON: A Module for AUTOSAR Secure Onboard Communication

This paper introduces CINNAMON, a software module that extends and seaml...

Giampaolo Bella, et al. ∙

research

∙ 07/01/2020

A finite element model updating method based on global optimization

Finite element model updating of a structure made of linear elastic mate...

Maria Girardi, et al. ∙

research

∙ 04/30/2020

Real-World Textured Things: a Repository of Textured Models Generated with Modern Photo-Reconstruction Tools

We are witnessing a proliferation of textured 3D models captured from th...

Andrea Maggiordomo, et al. ∙

research

∙ 07/27/2018

Study of the Impact of PHY and MAC Parameters in 3GPP C-V2V Mode 4

In the latest years, 3GPP has added short range cellular-vehicle-to-anyt...

Alessandro Bazzi, et al. ∙

research

∙ 09/08/2021

Lagrange-Chebyshev Interpolation for image resizing

Image resizing is a basic tool in image processing and in literature we ...

Donatella Occorsio, et al. ∙

research

∙ 09/28/2017

Recognition of feature curves on 3D shapes using an algebraic approach to Hough transforms

Feature curves are largely adopted to highlight shape features, such as ...

Maria-Laura Torrente, et al. ∙

research

∙ 08/26/2014

Voronoi Grid-Shell Structures

We introduce a framework for the generation of grid-shell structures tha...

Nico Pietroni, et al. ∙

research

∙ 08/07/2020

Transformational Verification of Quicksort

Many transformation techniques developed for constraint logic programs, ...

Emanuele De Angelis, et al. ∙

research

∙ 11/04/2018

Semantic Role Labeling for Knowledge Graph Extraction from Text

This paper introduces TakeFive, a new semantic role labeling method that...

Mehwish Alam, et al. ∙

Consiglio Nazionale delle Ricerche

Featured Researchers