Efficient foreground-background segmentation using local features for object detection. - Fabio Carrara; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro (ICDSC, 2015)

Semiautomatic Learning of 3D Objects from Video Streams. - Fabio Carrara; Fabrizio Falchi; Claudio Gennaro (SISAP, 2015)

Car parking occupancy detection using smart camera networks and Deep Learning. - Giuseppe Amato 001; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Claudio Vairo (ISCC, 2016)

Detecting adversarial example attacks to deep neural networks. - Fabio Carrara; Fabrizio Falchi; Roberto Caldelli; Giuseppe Amato 001; Roberta Fumarola; Rudy Becarelli (CBMI, 2017)

Cross-Media Learning for Image Sentiment Analysis in the Wild. - Lucia Vadicamo; Fabio Carrara; Andrea Cimino; Stefano Cresci; Felice Dell'Orletta; Fabrizio Falchi; Maurizio Tesconi (ICCV Workshops, 2017)

Efficient Indexing of Regional Maximum Activations of Convolutions using Full-Text Search Engines. - Giuseppe Amato 001; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro (ICMR, 2017)

Exploring epoch-dependent stochastic residual networks. - Fabio Carrara; Andrea Esuli; Fabrizio Falchi; Alejandro Moreo Fernández (CoRR, 2017)

Deep learning for decentralized parking lot occupancy detection. - Giuseppe Amato 001; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Carlo Meghini; Claudio Vairo (Expert Syst. Appl., 2017)

Adversarial Examples Detection in Features Distance Spaces. - Fabio Carrara; Rudy Becarelli; Roberto Caldelli; Fabrizio Falchi; Giuseppe Amato 001 (ECCV Workshops (2), 2018)

Learning Relationship-Aware Visual Features. - Nicola Messina; Giuseppe Amato 001; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro (ECCV Workshops (4), 2018)

A Wireless Smart Camera Network for Parking Monitoring. - Giuseppe Amato 001; Paolo Bolettieri; Davide Moroni; Fabio Carrara; Luca Ciampi; Gabriele Pieri; Claudio Gennaro; Giuseppe Riccardo Leone; Claudio Vairo (GLOBECOM Workshops, 2018)

Large-Scale Image Retrieval with Elasticsearch. - Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro (SIGIR, 2018)

Facial-based Intrusion Detection System with Deep Learning in Embedded Devices. - Giuseppe Amato 001; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Claudio Vairo (SSIP, 2018)

Picture it in your mind: generating high level visual representations from textual descriptions. - Fabio Carrara; Andrea Esuli; Tiziano Fagni; Fabrizio Falchi; Alejandro Moreo Fernández (Inf. Retr. J., 2018)

Testing Deep Neural Networks on the Same-Different Task. - Nicola Messina; Giuseppe Amato 001; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro (CBMI, 2019)

Hebbian Learning Meets Deep Convolutional Neural Networks. - Giuseppe Amato 001; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Gabriele Lagani (ICIAP (1), 2019)

Evaluation of Continuous Image Features Learned by ODE Nets. - Fabio Carrara; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro (ICIAP (1), 2019)

Exploiting CNN Layer Activations to Improve Adversarial Image Classification. - Roberto Caldelli; Rudy Becarelli; Fabio Carrara; Fabrizio Falchi; Giuseppe Amato 001 (ICIP, 2019)

VISIONE at VBS2019. - Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Franca Debole; Fabrizio Falchi; Claudio Gennaro; Lucia Vadicamo; Claudio Vairo (MMM (2), 2019)

Surrgate Text Representation of Visual Features for Fast Image Retrieval. - Fabio Carrara (SEBD, 2019)

Image Analysis in Technical Documentation. - Fabio Carrara; Franca Debole; Claudio Gennaro; Giuseppe Amato 001 (SEBD, 2019)

An Image Retrieval System for Video. - Paolo Bolettieri; Fabio Carrara; Franca Debole; Fabrizio Falchi; Claudio Gennaro; Lucia Vadicamo; Claudio Vairo (SISAP, 2019)

On the Robustness to Adversarial Examples of Neural ODE Image Classifiers. - Fabio Carrara; Roberto Caldelli; Fabrizio Falchi; Giuseppe Amato 001 (WIFS, 2019)

Detecting Adversarial Inputs by Looking in the Black Box. - Fabio Carrara; Fabrizio Falchi; Giuseppe Amato 001; Rudy Becarelli; Roberto Caldelli (ERCIM News, 2019)

LSTM-based real-time action detection and prediction in human motion streams. - Fabio Carrara; Petr Elias; Jan Sedmidubský; Pavel Zezula (Multim. Tools Appl., 2019)

Adversarial image detection in deep neural networks. - Fabio Carrara; Fabrizio Falchi; Roberto Caldelli; Giuseppe Amato 001; Rudy Becarelli (Multim. Tools Appl., 2019)

Deep Learning for Image Classification and Retrieval: Analysis and Solutions to Current Limitations. - Fabio Carrara (2019)

Nor-Vdpnet: A No-Reference High Dynamic Range Quality Metric Trained On Hdr-Vdp 2. - Francesco Banterle; Alessandro Artusi; Alejandro Moreo; Fabio Carrara (ICIP, 2020)

Combining GANs and AutoEncoders for efficient anomaly detection. - Fabio Carrara; Giuseppe Amato 001; Luca Brombin; Fabrizio Falchi; Claudio Gennaro (ICPR, 2020)

Defending Neural ODE Image Classifiers from Adversarial Attacks with Tolerance Randomization. - Fabio Carrara; Roberto Caldelli; Fabrizio Falchi; Giuseppe Amato 001 (ICPR Workshops (6), 2020)

Continuous ODE-defined Image Features for Adaptive Retrieval. - Fabio Carrara; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro (ICMR, 2020)

Automatic Pass Annotation from Soccer Video Streams Based on Object Detection and LSTM. - Danilo Sorano; Fabio Carrara; Paolo Cintia; Fabrizio Falchi; Luca Pappalardo (ECML/PKDD (5), 2020)

Scalar Quantization-Based Text Encoding for Large Scale Image Retrieval. - Giuseppe Amato 001; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Fausto Rabitti; Lucia Vadicamo (SEBD, 2020)

Learning Distance Estimators from Pivoted Embeddings of Metric Objects. - Fabio Carrara; Claudio Gennaro; Fabrizio Falchi; Giuseppe Amato 001 (SISAP, 2020)

Automatic Pass Annotation from Soccer VideoStreams Based on Object Detection and LSTM. - Danilo Sorano; Fabio Carrara; Paolo Cintia; Fabrizio Falchi; Luca Pappalardo (CoRR, 2020)

Learning visual features for relational CBIR. - Nicola Messina; Giuseppe Amato 001; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro (Int. J. Multim. Inf. Retr., 2020)

Large-scale instance-level image retrieval. - Giuseppe Amato 001; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Lucia Vadicamo (Inf. Process. Manag., 2020)

Efficient Evaluation of Image Quality via Deep-Learning Approximation of Perceptual Metrics. - Alessandro Artusi; Francesco Banterle; Fabio Carrara; Alejandro Moreo (IEEE Trans. Image Process., 2020)

NoR-VDPNet++: Efficient Training and Architecture for Deep No-Reference Image Quality Metrics. - Francesco Banterle; Alessandro Artusi; Alejandro Moreo; Fabio Carrara (SIGGRAPH Talks, 2021)

Detection of Face Recognition Adversarial Attacks. - Fabio Valerio Massoli; Fabio Carrara; Giuseppe Amato 001; Fabrizio Falchi (Comput. Vis. Image Underst., 2021)

The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval. - Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Franca Debole; Fabrizio Falchi; Claudio Gennaro; Lucia Vadicamo; Claudio Vairo (J. Imaging, 2021)

Learning accurate personal protective equipment detection from virtual worlds. - Marco Di Benedetto 001; Fabio Carrara; Enrico Meloni; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro (Multim. Tools Appl., 2021)

Solving the same-different task with convolutional neural networks. - Nicola Messina; Giuseppe Amato 001; Fabio Carrara; Claudio Gennaro; Fabrizio Falchi (Pattern Recognit. Lett., 2021)

Human and Mouse Eyes for Pupil Semantic Segmentation. - Raffaele Mazziotti; Fabio Carrara; Aurelia Viglione; Leonardo Lupori; Lo Verde Luca; Alessandro Benedetto; Ricci Giulia; Sagona Giulia; Giuseppe Amato 001; Tommaso Pizzorusso (Zenodo, 2021)

A Multi-Rater Benchmark for Perineuronal Nets Detection and Counting in Fluorescence Microscopy Images. - Luca Ciampi; Fabio Carrara; Valentino Totaro; Raffaele Mazziotti; Leonardo Lupori; Carlos Santiago; Giuseppe Amato 001; Tommaso Pizzorusso; Claudio Gennaro (Zenodo, 2021)

Learning to Detect Fallen People in Virtual Worlds. - Fabio Carrara; Lorenzo Pasco; Claudio Gennaro; Fabrizio Falchi (CBMI, 2022)

Recurrent Vision Transformer for Solving Visual Reasoning Problems. - Nicola Messina; Giuseppe Amato 001; Fabio Carrara; Claudio Gennaro; Fabrizio Falchi (ICIAP (3), 2022)

Tuning Neural ODE Networks to Increase Adversarial Robustness in Image Forensics. - Roberto Caldelli; Fabio Carrara; Fabrizio Falchi (ICIP, 2022)

VISIONE at Video Browser Showdown 2022. - Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Lucia Vadicamo; Claudio Vairo (MMM (2), 2022)

Approximate Nearest Neighbor Search on Standard Search Engines. - Fabio Carrara; Lucia Vadicamo; Claudio Gennaro; Giuseppe Amato 001 (SISAP, 2022)

Counting or Localizing? Evaluating Cell Counting and Detection in Microscopy Images. - Luca Ciampi; Fabio Carrara; Giuseppe Amato 001; Claudio Gennaro (VISIGRAPP (4: VISAPP), 2022)

Deep networks for behavioral variant frontotemporal dementia identification from multiple acquisition sources. - Marco Di Benedetto 001; Fabio Carrara; Benedetta Tafuri; Salvatore Nigro; Roberto De Blasi; Fabrizio Falchi; Claudio Gennaro; Giuseppe Gigli; Giancarlo Logroscino; Giuseppe Amato 001 (Comput. Biol. Medicine, 2022)

Deep learning for structural health monitoring: An application to heritage structures. - Fabio Carrara; Fabrizio Falchi; Maria Girardi; Nicola Messina; Cristina Padovani; Daniele Pellegrini (CoRR, 2022)

An embedded toolset for human activity monitoring in critical environments. - Marco Di Benedetto 001; Fabio Carrara; Luca Ciampi; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (Expert Syst. Appl., 2022)

Multi-camera vehicle counting using edge-AI. - Luca Ciampi; Claudio Gennaro; Fabio Carrara; Fabrizio Falchi; Claudio Vairo; Giuseppe Amato 001 (Expert Syst. Appl., 2022)

Improving the Adversarial Robustness of Neural ODE Image Classifiers by Tuning the Tolerance Parameter. - Fabio Carrara; Roberto Caldelli; Fabrizio Falchi; Giuseppe Amato 001 (Inf., 2022)

Learning to count biological structures with raters' uncertainty. - Luca Ciampi; Fabio Carrara; Valentino Totaro; Raffaele Mazziotti; Leonardo Lupori; Carlos Santiago; Giuseppe Amato 001; Tommaso Pizzorusso; Claudio Gennaro (Medical Image Anal., 2022)

VWFP: Virtual World Fallen People Dataset for Visual Fallen People Detection. - Fabio Carrara; Lorenzo Pasco; Claudio Gennaro; Fabrizio Falchi (Zenodo, 2022)

COCO, LVIS, Open Images V4 classes mapping. - Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Lucia Vadicamo; Claudio Vairo (Zenodo, 2022)

A brain-wide, annotated dataset of WFA-positive perineuronal nets and parvalbumin neurons in the adult mouse brain. - Leonardo Lupori; Valentino Totaro; Sara Cornuti; Luca Ciampi; Fabio Carrara; Edda Grilli; Aurelia Viglione; Francesca Tozzi; Elena Putignano; Raffaele Mazziotti; Giuseppe Amato 001; Claudio Gennaro; et al. (Zenodo, 2022)

VISIONE for newbies: an easier-to-use video retrieval system. - Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Lucia Vadicamo; Claudio Vairo (CBMI, 2023)

The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-Modal Distillation. - Alessio Serra; Fabio Carrara; Maurizio Tesconi; Fabrizio Falchi (ECAI, 2023)

SegmentCodeList: Unsupervised Representation Learning for Human Skeleton Data Retrieval. - Jan Sedmidubský; Fabio Carrara; Giuseppe Amato 001 (ECIR (2), 2023)

AIMH Lab 2022 Activities for Healthcare. - Fabio Carrara; Luca Ciampi; Marco Di Benedetto 001; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (Ital-IA, 2023)

AIMH Lab 2022 Activities for Vision. - Luca Ciampi; Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Marco Di Benedetto 001; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Lucia Vadicamo; Claudio Vairo (Ital-IA, 2023)

A Workflow for Developing Biohybrid Intelligent Sensing Systems. - Edoardo Fazzari; Fabio Carrara; Fabrizio Falchi; Cesare Stefanini (Ital-IA, 2023)

Social and hUman ceNtered XR. - Claudio Vairo; Marco Callieri; Fabio Carrara; Paolo Cignoni; Marco Di Benedetto 001; Claudio Gennaro; Daniela Giorgi; Gianpaolo Palma; Lucia Vadicamo; Giuseppe Amato 001 (Ital-IA, 2023)

VISIONE: A Large-Scale Video Retrieval System with Advanced Search Functionalities. - Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Lucia Vadicamo; Claudio Vairo (ICMR, 2023)

VISIONE at Video Browser Showdown 2023. - Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Lucia Vadicamo; Claudio Vairo (MMM (1), 2023)

Vec2Doc: Transforming Dense Vectors into Sparse Representations for Efficient Information Retrieval. - Fabio Carrara; Claudio Gennaro; Lucia Vadicamo; Giuseppe Amato 001 (SISAP, 2023)

NoR-VDPNet++: Real-Time No-Reference Image Quality Metrics. - Francesco Banterle; Alessandro Artusi; Alejandro Moreo; Fabio Carrara; Paolo Cignoni (IEEE Access, 2023)

A deep learning-based dataset of WFA-positive perineuronal nets and parvalbumin neurons localizations in the adult mouse brain. - Leonardo Lupori; Valentino Totaro; Sara Cornuti; Luca Ciampi; Fabio Carrara; Edda Grilli; Aurelia Viglione; Francesca Tozzi; Elena Putignano; Raffaele Mazziotti; Giuseppe Amato 001; Claudio Gennaro; et al. (Zenodo, 2023)

VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from V3C1+V3C2 Dataset. - Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Lucia Vadicamo; Claudio Vairo (Zenodo, 2023)

VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from MVK Dataset. - Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Lucia Vadicamo; Claudio Vairo (Zenodo, 2023)

VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from VBSLHE Dataset. - Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Lucia Vadicamo; Claudio Vairo (Zenodo, 2023)

Conditioned Cooperative training for semi-supervised weapon detection. - Jose L. Salazar-González; Juan Antonio Álvarez-García; Fernando J. Rendón-Segador; Fabio Carrara (Neural Networks, 2023)

Visione 5.0: Toward Evaluation With Novice Users. - Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Nicola Messina (CBMI, 2024)

Is Clip the Main Roadblock for Fine-Grained Open-World Perception? - Lorenzo Bianchi 001; Fabio Carrara; Nicola Messina; Fabrizio Falchi (CBMI, 2024)

The Devil is in the Fine-Grained Details: Evaluating open-Vocabulary Object Detectors for Fine-Grained Understanding. - Lorenzo Bianchi 001; Fabio Carrara; Nicola Messina; Claudio Gennaro; Fabrizio Falchi (CVPR, 2024)

Will VISIONE Remain Competitive in Lifelog Image Search? - Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Lucia Vadicamo; Claudio Vairo (LSC@ICMR, 2024)

VISIONE 5.0: Enhanced User Interface and AI Models for VBS2024. - Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Lucia Vadicamo; Claudio Vairo (MMM (4), 2024)

Spatio-Temporal 3D Reconstruction from Frame Sequences and Feature Points. - Giulio Federico; Fabio Carrara; Giuseppe Amato 001; Marco Di Benedetto 001 (IMX Workshops, 2024)

Evaluating Performance and Trends in Interactive Video Retrieval: Insights From the 12th VBS Competition. - Lucia Vadicamo; Rahel Arnold; Werner Bailer; Fabio Carrara; Cathal Gurrin; Nico Hezel; Xinghan Li; Jakub Lokoc; Sebastian Lubos; Zhixin Ma 001; Nicola Messina; Thao-Nhu Nguyen; et al. (IEEE Access, 2024)

Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation. - Luca Barsellotti; Lorenzo Bianchi 001; Nicola Messina; Fabio Carrara; Marcella Cornia; Lorenzo Baraldi 001; Fabrizio Falchi; Rita Cucchiara (CoRR, 2024)

Maybe you are looking for CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval. - Giacomo Pacini; Fabio Carrara; Nicola Messina; Nicola Tonellotto; Giuseppe Amato 001; Fabrizio Falchi (CoRR, 2024)

Bridging Virtual and Physical Worlds through AI. - Fabio Carrara (ERCIM News, 2024)

VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from VBSLHE Dataset. - Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Lucia Vadicamo; Claudio Vairo (Zenodo, 2024)

VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from MVK Dataset. - Giuseppe Amato 001; Paolo Bolettieri; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Lucia Vadicamo; Claudio Vairo (Zenodo, 2024)

FG-OVD: Fine-grained Open-Vocabulary Object Detection Benchmark Suite. - Lorenzo Bianchi 001; Fabio Carrara; Nicola Messina; Claudio Gennaro; Fabrizio Falchi (Zenodo, 2024)

Using AI to decode the behavioral responses of an insect to chemical stimuli: towards machine-animal computational technologies. - Edoardo Fazzari; Fabio Carrara; Fabrizio Falchi; Cesare Stefanini; Donato Romano (Int. J. Mach. Learn. Cybern., 2024)

Interactive multimodal video search: an extended post-evaluation for the VBS 2022 competition. - Konstantin Schall; Werner Bailer; Kai Uwe Barthel; Fabio Carrara; Jakub Lokoc; Ladislav Peska; Klaus Schoeffmann; Lucia Vadicamo; Claudio Vairo (Int. J. Multim. Inf. Retr., 2024)

Maybe You Are Looking for CroQS [inline-graphic not available: see fulltext] Cross-Modal Query Suggestion for Text-to-Image Retrieval. - Giacomo Pacini; Fabio Carrara; Nicola Messina; Nicola Tonellotto; Giuseppe Amato 001; Fabrizio Falchi (ECIR (2), 2025)

Training-free sparse representations of dense vectors for scalable information retrieval. - Fabio Carrara; Lucia Vadicamo; Giuseppe Amato 001; Claudio Gennaro (Inf. Syst., 2025)

ViSketch-GPT: Collaborative Multi-Scale Feature Extraction for Sketch Recognition and Generation. - Giulio Federico; Giuseppe Amato 001; Fabio Carrara; Claudio Gennaro; Marco Di Benedetto 001 (CoRR, 2025)

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving. - Giulio Federico; Fabio Carrara; Claudio Gennaro; Giuseppe Amato 001; Marco Di Benedetto 001 (CoRR, 2025)