Analysis of Concurrent Transactions in a Functional Database Programming Language. - Giuseppe Amato 001; Fosca Giannotti; Gianni Mainetto (WSA, 1992)

Static Analysis of Transactions: an Experiment of Abstract Interpretation Usage. - Giuseppe Amato 001; Fosca Giannotti; Gianni Mainetto (FMLDO, 1993)

Data Sharing Analysis for a Database Programming Lanaguage via Abstract Interpretation. - Giuseppe Amato 001; Fosca Giannotti; Gianni Mainetto (VLDB, 1993)

Conservative Multigranularity Locking for an Obiect-Oriented Persistent Language via Abstract Interpretation. - Giuseppe Amato 001; Fosca Giannotti; Giovanni Mainetto (SEBD, 1994)

Multigranularity Locking with the Use of Semantic Knowledge in a Layered Object Server. - Giuseppe Amato 001; Salvatore Biscari; Gianni Mainetto; Fausto Rabitti (POS, 1996)

Concurrent Index Management Using Shadow-Paging. - Giuseppe Amato 001; Gianni Mainetto (SEBD, 1996)

A Query Language for Similarity-Based Retrieval of Multimedia Data. - Giuseppe Amato 001; Gianni Mainetto; Pasquale Savino (ADBIS, 1997)

Static Analysis of Transactions for Conservative Multigranularity Locking. - Giuseppe Amato 001; Fosca Giannotti; Gianni Mainetto (DBPL, 1997)

Processing M-trees with Parallel Resources. - Pavel Zezula; Pasquale Savino; Fausto Rabitti; Giuseppe Amato 001; Paolo Ciaccia (RIDE, 1998)

Retrieval of Multimedia Data by Similarity in the HERMES DBMS. - Giuseppe Amato 001; Gianni Mainetto; Pasquale Savino (SEBD, 1998)

Multimedia Document Search on the Web. - Giuseppe Amato 001; Fausto Rabitti; Pasquale Savino (Comput. Networks, 1998)

An Approach to a Content-Based Retrieval of Multimedia Data. - Giuseppe Amato 001; Gianni Mainetto; Pasquale Savino (Multim. Tools Appl., 1998)

Approximate Similarity Retrieval with M-Trees. - Pavel Zezula; Pasquale Savino; Giuseppe Amato 001; Fausto Rabitti (VLDB J., 1998)

User Profile Modeling and Applications to Digital Libraries. - Giuseppe Amato 001; Umberto Straccia (ECDL, 1999)

Estimating Proximity of Metric Ball Regions for Multimedia Data Indexing. - Giuseppe Amato 001; Fausto Rabitti; Pasquale Savino; Pavel Zezula (ADVIS, 2000)

Approximate Similarity Search in Metric Data by Using Region Proximity. - Giuseppe Amato 001; Pasquale Savino; Fausto Rabitti; Pavel Zezula (DELOS, 2000)

A Metadata Model for Historical Documentary Films. - Giuseppe Amato 001; Donatella Castelli; Serena Pisani (ECDL, 2000)

VandA: a Metadata Model for Supporting New Usages of Historical Audio-Visual Archives Material. - Giuseppe Amato 001; Donatella Castelli; Paola Venerosi (ICHIM (2), 2001)

Searching Documentary Films On Line: The ECHO Digital Library. - Giuseppe Amato 001; Claudio Gennaro; Pasquale Savino (ICHIM (2), 2001)

Approximate similarity search in metric spaces. - Giuseppe Amato 001 (2002)

YAPI: Yet Another Path Index for XML Searching. - Giuseppe Amato 001; Franca Debole; Pavel Zezula; Fausto Rabitti (ECDL, 2003)

A path index for efficient XML path expression processing. - Giuseppe Amato 001; Franca Debole; Pavel Zezula; Fausto Rabitti (SEBD, 2003)

Processing XML Queries with Tree Signatures. - Pavel Zezula; Giuseppe Amato 001; Fausto Rabitti (Intelligent Search on XML Data, 2003)

Tree Signatures for XML Querying and Navigation. - Pavel Zezula; Giuseppe Amato 001; Franca Debole; Fausto Rabitti (Xsym, 2003)

Region proximity in metric spaces and its use for approximate similarity search. - Giuseppe Amato 001; Fausto Rabitti; Pasquale Savino; Pavel Zezula (ACM Trans. Inf. Syst., 2003)

Milos: A Multimedia Content Management System for Digital Library Applications. - Giuseppe Amato 001; Claudio Gennaro; Fausto Rabitti; Pasquale Savino (ECDL, 2004)

Image Classifiers for Scene Analysis. - Bertrand Le Saux; Giuseppe Amato 001 (ICCVG, 2004)

Image recognition for digital libraries. - Bertrand Le Saux; Giuseppe Amato 001 (Multimedia Information Retrieval, 2004)

Milos: A Multimedia Content Management System. - Giuseppe Amato 001; Claudio Gennaro; Fausto Rabitti; Pasquale Savino (SEBD, 2004)

A Signature-Based Approach for Efficient Relationship Search on XML Data Collections. - Giuseppe Amato 001; Franca Debole; Fausto Rabitti; Pasquale Savino; Pavel Zezula (XSym, 2004)

A Native XML Database Supporting Approximate Match Search. - Giuseppe Amato 001; Franca Debole (ECDL, 2005)

Using MILOS to Build a Multimedia Digital Library Application: The PhotoBook Experience. - Giuseppe Amato 001; Paolo Bolettieri; Franca Debole; Fabrizio Falchi; Fausto Rabitti; Pasquale Savino (ECDL, 2006)

The DELOS Testbed for Choosing a Digital Preservation Strategy. - Stephan Strodl; Andreas Rauber; Carl Rauch; Hans Hofman; Franca Debole; Giuseppe Amato 001 (ICADL, 2006)

Using MILOS to build an on-line photo album: the PhotoBook. - Giuseppe Amato 001; Paolo Bolettieri; Franca Debole; Fabrizio Falchi; Fausto Rabitti; Pasquale Savino (SEBD, 2006)

The Stream System: a Data Collection and Communication Abstraction for Sensor Networks. - Giuseppe Amato 001; Paolo Baronti; Stefano Chessa; Valentina Masi (SMC, 2006)

Similarity Search - The Metric Space Approach - Pavel Zezula; Giuseppe Amato 001; Vlastislav Dohnal; Michal Batko (Kluwer, 2006)

Image Indexing and Retrieval Using Visual Terms and Text-Like Weighting. - Giuseppe Amato 001; Pasquale Savino; Vanessa Magionami (DELOS, 2007)

Evaluating Preservation Strategies for Electronic Theses and Dissertations. - Stephan Strodl; Christoph Becker 001; Robert Neumayer; Andreas Rauber; Eleonora Nicchiarelli Bettelli; Max Kaiser; Hans Hofman; Heike Neuroth; Stefan Strathmann; Franca Debole; Giuseppe Amato 001 (DELOS, 2007)

MultiMatch - Multilingual/Multimedia Access to Cultural Heritage. - Giuseppe Amato 001; Juan M. Cigarrán; Julio Gonzalo; Carol Peters; Pasquale Savino (IRCDL, 2007)

Multi-faceted Image Retrieval by Concept Lattice Querying and Navigation. - Giuseppe Amato 001; Carlo Meghini (IRCDL, 2007)

Region Based Image Similarity Search Inspired by Text Search. - Giuseppe Amato 001; Pasquale Savino; Vanessa Magionami (IRCDL, 2007)

Query Optimization for Wireless Sensor Network Databases in the MadWise system. - Giuseppe Amato 001; Paolo Baronti; Stefano Chessa (SEBD, 2007)

Faceted Content-Based Image Retrieval. - Giuseppe Amato 001; Carlo Meghini (DEXA Workshops, 2008)

The MultiMatch Prototype: Multilingual/Multimedia Search for Cultural Heritage Objects. - Giuseppe Amato 001; Franca Debole; Carol Peters; Pasquale Savino (ECDL, 2008)

Approximate similarity search in metric spaces using inverted files. - Giuseppe Amato 001; Pasquale Savino (Infoscale, 2008)

Using MPEG-7 for Automatic Annotation of Audiovisual Content in eLearning Digital Libraries. - Giuseppe Amato 001; Paolo Bolettieri; Franca Debole; Fabrizio Falchi; Claudio Gennaro; Fausto Rabitti (IRCDL, 2008)

Use of weighted visual terms and machine learning techniques for image content recognition relying on mpeg-7 visual descriptors. - Giuseppe Amato 001; Pasquale Savino; Vanessa Magionami (MS, 2008)

Approximate Similarity Search from another "Perspective". - Giuseppe Amato 001; Pasquale Savino (SEBD, 2008)

MultiMatch: Multilingual/Multimedia Access to Cultural Heritage. - Giuseppe Amato 001; Franca Debole; Carol Peters; Pasquale Savino (IRCDL, 2009)

Detection of images with adult content for parental control on mobile devices? - Giuseppe Amato 001; Paolo Bolettieri; Gabriele Costa 001; Francesco La Torre; Fabio Martinelli (Mobility Conference, 2009)

Searching by Similarity and Classifying Images on a Very Large Scale. - Giuseppe Amato 001; Pasquale Savino (SISAP, 2009)

Application-driven, energy-efficient communication in wireless sensor networks. - Giuseppe Amato 001; Antonio Caruso 001; Stefano Chessa (Comput. Commun., 2009)

Towards Data Management in the Sensor Web: the MaD-WiSe System. - Giuseppe Amato 001; Stefano Chessa; Francesco Furfari; Stefano Lenzi; Claudio Vairo (ERCIM News, 2009)

An Approach to Content-Based Image Retrieval Based on the Lucene Search Engine Library. - Claudio Gennaro; Giuseppe Amato 001; Paolo Bolettieri; Pasquale Savino (ECDL, 2010)

kNN based image classification relying on local feature similarity. - Giuseppe Amato 001; Fabrizio Falchi (SISAP, 2010)

Modeling detection and tracking of complex events in wireless sensor networks. - Claudio Vairo; Giuseppe Amato 001; Stefano Chessa; Paolo Valleri (SMC, 2010)

MaD-WiSe: a distributed stream management system for wireless sensor networks. - Giuseppe Amato 001; Stefano Chessa; Claudio Vairo (Softw. Pract. Exp., 2010)

Combining local and global visual feature similarity using a text search engine. - Giuseppe Amato 001; Paolo Bolettieri; Fabrizio Falchi; Claudio Gennaro; Fausto Rabitti (CBMI, 2011)

Local Feature based Image Similarity Functions for kNN Classification. - Giuseppe Amato 001; Fabrizio Falchi (ICAART (1), 2011)

On kNN Classification and Local Feature Based Similarity Functions. - Giuseppe Amato 001; Fabrizio Falchi (ICAART (Revised Selected Papers), 2011)

Efficient detection of composite events in Wireless Sensor Networks: Design and evaluation. - Giuseppe Amato 001; Stefano Chessa; Claudio Gennaro; Claudio Vairo (ISCC, 2011)

Landmark recognition in VISITO: VIsual Support to Interactive TOurism in Tuscany. - Giuseppe Amato 001; Paolo Bolettieri; Fabrizio Falchi (ICMR, 2011)

Landmark Recognition in VISITO Tuscany. - Giuseppe Amato 001; Fabrizio Falchi; Fausto Rabitti (MM4CH, 2011)

An Approach to Content-Based Image Retrieval based on the Lucene Search Engine Library (Extended Abstract). - Claudio Gennaro; Giuseppe Amato 001; Paolo Bolettieri; Pasquale Savino (SEBD, 2011)

Geometric consistency checks for kNN based image classification relying on local features. - Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro (SISAP, 2011)

Element detection relying on information retrieval techniques applied to laser spectroscopy. - Giuseppe Amato 001; Stefano Legnaioli; Giulia Lorenzetti; Vincenzo Palleschi; Lorenzo Pardini; Fausto Rabitti (SISAP, 2011)

VISITO Tuscany: Landmark Recognition for Cultural Heritage. - Giuseppe Amato 001; Fabrizio Falchi; Paolo Bolettieri (ERCIM News, 2011)

Dynamic Tracking of Composite Events in Wireless Sensor Networks. - Giuseppe Amato 001; Stefano Chessa; Claudio Gennaro; Claudio Vairo (ADHOCNETS, 2012)

Quick and Easy Implementation of Approximate Similarity Search with Lucene. - Giuseppe Amato 001; Paolo Bolettieri; Claudio Gennaro; Fausto Rabitti (IRCDL, 2012)

Robotic UBIquitous COgnitive Network. - Giuseppe Amato 001; Mathias Broxvall; Stefano Chessa; Mauro Dragone; Claudio Gennaro; Rafa López; Liam P. Maguire; T. Martin McGinnity; Alessio Micheli; Arantxa Rentería; Gregory M. P. O'Hare; Federico Pecora (ISAmI, 2012)

Content-based Retrieval on Very Large Visual Document Archives. - Giuseppe Amato 001 (RCDL, 2012)

Visual Features Selection. - Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro (IIR, 2013)

Experimenting a Visual Attention Model in the Context of CBIR Systems. - Franco Alberto Cardillo; Giuseppe Amato 001; Fabrizio Falchi (IIR, 2013)

On Reducing the number of Visual Words. - Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Fausto Rabitti (SEBD, 2013)

A Data Logger for Wireless Sensor Network. - Giuseppe Amato 001; Stefano Chessa; Claudio Gennaro; Daniele Pallini; Claudio Vairo (SENSORNETS, 2013)

Large Scale Image Retrieval Using Vector of Locally Aggregated Descriptors. - Giuseppe Amato 001; Paolo Bolettieri; Fabrizio Falchi; Claudio Gennaro (SISAP, 2013)

Pivot Selection Strategies for Permutation-Based Similarity Search. - Giuseppe Amato 001; Andrea Esuli; Fabrizio Falchi (SISAP, 2013)

On Reducing the Number of Visual Words in the Bag-of-Features Representation. - Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro (VISAPP (1), 2013)

Using Visual Attention in a CBIR System - Experimental Results on Landmark and Object Recognition Tasks. - Franco Alberto Cardillo; Giuseppe Amato 001; Fabrizio Falchi (VISAPP (1), 2013)

Large Scale Image Retrieval Using Vectors of Locally Aggregated Descriptors. - Giuseppe Amato 001; Paolo Bolettieri; Fabrizio Falchi; Claudio Gennaro (ERCIM News, 2013)

Exploiting Computational Models of the Human Visual System. - Franco Alberto Cardillo; Giuseppe Amato 001; Richard Connor 001 (ERCIM News, 2013)

Indexing Vectors of Locally Aggregated Descriptors Using Inverted Files. - Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Paolo Bolettieri (ICMR, 2014)

Some Theoretical and Experimental Observations on Permutation Spaces and Similarity Search. - Giuseppe Amato 001; Fabrizio Falchi; Fausto Rabitti; Lucia Vadicamo (SISAP, 2014)

MI-File: using inverted files for scalable approximate similarity search. - Giuseppe Amato 001; Claudio Gennaro; Pasquale Savino (Multim. Tools Appl., 2014)

DICE: A Distributed Protocol for Camera-Aided Video Surveillance. - Hanna Kavalionak; Claudio Gennaro; Giuseppe Amato 001; Carlo Meghini (CIT/IUCC/DASC/PICom, 2015)

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

Visual Recognition in the EAGLE Project. - Giuseppe Amato 001; Paolo Bolettieri; Fabrizio Falchi; Fausto Rabitti; Lucia Vadicamo (IIR, 2015)

A cognitive robotic ecology approach to self-configuring and evolving AAL systems. - Mauro Dragone; Giuseppe Amato 001; Davide Bacciu; Stefano Chessa; Sonya A. Coleman; Maurizio Di Rocco; Claudio Gallicchio; Claudio Gennaro; Héctor Lozano Peiteado; Liam P. Maguire; T. Martin McGinnity; Alessio Micheli; et al. (Eng. Appl. Artif. Intell., 2015)

A comparison of pivot selection techniques for permutation-based indexing. - Giuseppe Amato 001; Andrea Esuli; Fabrizio Falchi (Inf. Syst., 2015)

Robotic Ubiquitous Cognitive Ecology for Smart Homes. - Giuseppe Amato 001; Davide Bacciu; Mathias Broxvall; Stefano Chessa; Sonya A. Coleman; Maurizio Di Rocco; Mauro Dragone; Claudio Gallicchio; Claudio Gennaro; Héctor Lozano Peiteado; T. Martin McGinnity; Alessio Micheli; et al. (J. Intell. Robotic Syst., 2015)

Fast Image Classification for Monument Recognition. - Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro (ACM Journal on Computing and Cultural Heritage, 2015)

Application of Graph Theory to the elaboration of personal genomic data for genealogical research. - Vincenzo Palleschi; Luca Pagani 002; Stefano Pagnotta; Giuseppe Amato 001; Sergio Tofanelli (PeerJ Prepr., 2015)

Querying moving events in wireless sensor networks. - Giuseppe Amato 001; Stefano Chessa; Claudio Gennaro; Claudio Vairo (Pervasive Mob. Comput., 2015)

Large Scale Indexing and Searching Deep Convolutional Neural Network Features. - Giuseppe Amato 001; Franca Debole; Fabrizio Falchi; Claudio Gennaro; Fausto Rabitti (DaWaK, 2016)

Indexing 100M Images with Deep Features and MI-File. - Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Fausto Rabitti (IIR, 2016)

Combining Fisher Vector and Convolutional Neural Networks for Image Retrieval. - Giuseppe Amato 001; Fabrizio Falchi; Fausto Rabitti; Lucia Vadicamo (IIR, 2016)

A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living. - Giuseppe Amato 001; Davide Bacciu; Stefano Chessa; Mauro Dragone; Claudio Gallicchio; Claudio Gennaro; Héctor Lozano Peiteado; Alessio Micheli; Gregory M. P. O'Hare; Arantxa Rentería; Claudio Vairo (ISAmI, 2016)

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

YFCC100M HybridNet fc6 Deep Features for Content-Based Image Retrieval. - Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Fausto Rabitti (MMCommons @ ACM Multimedia, 2016)

YFCC100M-HNfc6: A Large-Scale Deep Features Benchmark for Similarity Search. - Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Fausto Rabitti (SISAP, 2016)

Deep Permutations: Deep Convolutional Neural Networks and Permutation-Based Indexing. - Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Lucia Vadicamo (SISAP, 2016)

Using Apache Lucene to Search Vector of Locally Aggregated Descriptors. - Giuseppe Amato 001; Paolo Bolettieri; Fabrizio Falchi; Claudio Gennaro; Lucia Vadicamo (VISIGRAPP (4: VISAPP), 2016)

How Effective Are Aggregation Methods on Binary Features?. - Giuseppe Amato 001; Fabrizio Falchi; Lucia Vadicamo (VISIGRAPP (4: VISAPP), 2016)

Visual Recognition of Ancient Inscriptions Using Convolutional Neural Network and Fisher Vector. - Giuseppe Amato 001; Fabrizio Falchi; Lucia Vadicamo (ACM Journal on Computing and Cultural Heritage, 2016)

Searching and annotating 100M Images with YFCC100M-HNfc6 and MI-File. - Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Fausto Rabitti (CBMI, 2017)

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

Towards Multimodal Surveillance for Smart Building Security. - Giuseppe Amato 001; Paolo Barsocchi; Fabrizio Falchi; Erina Ferro; Claudio Gennaro; Giuseppe Riccardo Leone; Davide Moroni; Ovidio Salvetti; Claudio Vairo (IWCIM@EUSIPCO, 2017)

A prediction-based distributed tracking protocol for video surveillance. - Hanna Kavalionak; Emanuele Carlini; Alessandro Lulli; Claudio Gennaro; Giuseppe Amato 001; Carlo Meghini; Laura Ricci (ICNSC, 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)

Social Media Image Recognition for Food Trend Analysis. - Giuseppe Amato 001; Paolo Bolettieri; Vinicius Monteiro de Lira; Cristina Ioana Muntean; Raffaele Perego 001; Chiara Renso (SIGIR, 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)

Preface. - Giuseppe Amato 001; Richard Connor 001; Fabrizio Falchi; Claudio Gennaro (Inf. Syst., 2017)

How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science. - Giuseppe Amato 001; Leonardo Candela; Donatella Castelli; Andrea Esuli; Fabrizio Falchi; Claudio Gennaro; Fosca Giannotti; Anna Monreale; Mirco Nanni; Pasquale Pagano; Luca Pappalardo; Dino Pedreschi; et al. (A Comprehensive Guide Through the Italian Database Research, 2018)

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)

Deep Learning Techniques for Visual Food Recognition on a Mobile App. - Michele De Bonis; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Paolo Manghi (MISSI, 2018)

Counting Vehicles with Cameras. - Luca Ciampi; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Fausto Rabitti (SEBD, 2018)

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

Re-ranking Permutation-Based Candidate Sets with the n-Simplex Projection. - Giuseppe Amato 001; Edgar Chávez; Richard Connor 001; Fabrizio Falchi; Claudio Gennaro; Lucia Vadicamo (SISAP, 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)

Aggregating binary local descriptors for image retrieval. - Giuseppe Amato 001; Fabrizio Falchi; Lucia Vadicamo (Multim. Tools Appl., 2018)

Learning Safety Equipment Detection using Virtual Worlds. - Marco Di Benedetto 001; Enrico Meloni; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro (CBMI, 2019)

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)

Learning Pedestrian Detection from Virtual Worlds. - Giuseppe Amato 001; Luca Ciampi; Fabrizio Falchi; Claudio Gennaro; Nicola Messina (ICIAP (1), 2019)

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

Improving Multi-scale Face Recognition Using VGGFace2. - Fabio Valerio Massoli; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Claudio Vairo (ICIAP Workshops, 2019)

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

Counting Vehicles with Deep Learning in Onboard UAV Imagery. - Giuseppe Amato 001; Luca Ciampi; Fabrizio Falchi; Claudio Gennaro (ISCC, 2019)

Face Verification and Recognition for Digital Forensics and Information Security. - Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Fabio Valerio Massoli; Nikolaos Passalis; Anastasios Tefas; Alessandro Trivilini; Claudio Vairo (ISDFS, 2019)

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

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

CNN-based System for Low Resolution Face Recognition. - Fabio Valerio Massoli; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Claudio Vairo (SEBD, 2019)

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

AI in the media and creative industries. - Giuseppe Amato 001; Malte Behrmann; Frédéric Bimbot; Baptiste Caramiaux; Fabrizio Falchi; Ander García; Joost Geurts; Jaume Gibert; Guillaume Gravier; Hadmut Holken; Hartmut Koenitz; Sylvain Lefebvre 001; et al. (CoRR, 2019)

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

Distributed Video Surveillance Using Smart Cameras. - Hanna Kavalionak; Claudio Gennaro; Giuseppe Amato 001; Claudio Vairo; Costantino Perciante; Carlo Meghini; Fabrizio Falchi (J. Grid Comput., 2019)

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

Unsupervised vehicle counting via multiple camera domain adaptation. - Luca Ciampi; Carlos Santiago; João Paulo Costeira; Claudio Gennaro; Giuseppe Amato 001 (NeHuAI@ECAI, 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)

Transformer Reasoning Network for Image- Text Matching and Retrieval. - Nicola Messina; Fabrizio Falchi; Andrea Esuli; Giuseppe Amato 001 (ICPR, 2020)

Re-implementing and Extending Relation Network for R-CBIR. - Nicola Messina; Giuseppe Amato 001; Fabrizio Falchi (IRCDL, 2020)

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

Edge-Based Video Surveillance with Embedded Devices. - Hanna Kavalionak; Claudio Gennaro; Giuseppe Amato 001; Claudio Vairo; Costantino Perciante; Carlo Meghini; Fabrizio Falchi; Fausto Rabitti (SEBD, 2020)

kNN-guided Adversarial Attacks. - Fabio Valerio Massoli; Fabrizio Falchi; Giuseppe Amato 001 (SEBD, 2020)

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

Cross-Resolution Deep Features Based Image Search. - Fabio Valerio Massoli; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (SISAP, 2020)

Multi-Resolution Face Recognition with Drones. - Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Fabio Valerio Massoli; Claudio Vairo (SSIP, 2020)

Virtual to Real adaptation of Pedestrian Detectors for Smart Cities. - Luca Ciampi; Nicola Messina; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (CoRR, 2020)

MOCCA: Multi-Layer One-Class Classification for Anomaly Detection. - Fabio Valerio Massoli; Fabrizio Falchi; Alperen Kantarci; Seymanur Akti; Hazim Kemal Ekenel; Giuseppe Amato 001 (CoRR, 2020)

Training Convolutional Neural Networks With Hebbian Principal Component Analysis. - Gabriele Lagani; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro (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)

Cross-resolution learning for Face Recognition. - Fabio Valerio Massoli; Giuseppe Amato 001; Fabrizio Falchi (Image Vis. Comput., 2020)

Cross-resolution face recognition adversarial attacks. - Fabio Valerio Massoli; Fabrizio Falchi; Giuseppe Amato 001 (Pattern Recognit. Lett., 2020)

Virtual to Real Adaptation of Pedestrian Detectors. - Luca Ciampi; Nicola Messina; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (Sensors, 2020)

Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features. - Nicola Messina; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Stéphane Marchand-Maillet (CBMI, 2021)

VISIONE at Video Browser Showdown 2021. - Giuseppe Amato 001; Paolo Bolettieri; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Lucia Vadicamo; Claudio Vairo (MMM (2), 2021)

Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches. - Gabriele Lagani; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (LOD, 2021)

Evaluating Hebbian Learning in a Semi-supervised Setting. - Gabriele Lagani; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (LOD, 2021)

Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation. - Gabriele Lagani; Raffaele Mazziotti; Fabrizio Falchi; Claudio Gennaro; Guido Marco Cicchini; Tommaso Pizzorusso; Federico Cremisi; Giuseppe Amato 001 (NER, 2021)

Traffic Density Estimation via Unsupervised Domain Adaptation (Discussion Paper). - Luca Ciampi; Carlos Santiago; João Paulo Costeira; Claudio Gennaro; Giuseppe Amato 001 (SEBD, 2021)

A Multi-resolution Training for Expression Recognition in the Wild (Discussion Paper). - Fabio Valerio Massoli; Donato Cafarelli; Giuseppe Amato 001; Fabrizio Falchi (SEBD, 2021)

AIMH at SemEval-2021 Task 6: Multimodal Classification Using an Ensemble of Transformer Models. - Nicola Messina; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (SemEval@ACL/IJCNLP, 2021)

On Generalizing Permutation-Based Representations for Approximate Search. - Lucia Vadicamo; Claudio Gennaro; Giuseppe Amato 001 (SISAP, 2021)

Domain Adaptation for Traffic Density Estimation. - Luca Ciampi; Carlos Santiago; João Paulo Costeira; Claudio Gennaro; Giuseppe Amato 001 (VISIGRAPP (5: VISAPP), 2021)

Expression Recognition Analysis in the Wild. - Donato Cafarelli; Fabio Valerio Massoli; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (CoRR, 2021)

A Multi-resolution Approach to Expression Recognition in the Wild. - Fabio Valerio Massoli; Donato Cafarelli; Giuseppe Amato 001; Fabrizio Falchi (CoRR, 2021)

MAFER: a Multi-resolution Approach to Facial Expression Recognition. - Fabio Valerio Massoli; Donato Cafarelli; Claudio Gennaro; Giuseppe Amato 001; Fabrizio Falchi (CoRR, 2021)

A Communication Layer for Integrated Sensors and Robotic ecology Solutions to Ambient Intelligence. - Giuseppe Amato 001; Stefano Chessa; Mauro Dragone; Claudio Gennaro; Claudio Vairo (CoRR, 2021)

A Leap among Entanglement and Neural Networks: A Quantum Survey. - Fabio Valerio Massoli; Lucia Vadicamo; Giuseppe Amato 001; Fabrizio Falchi (CoRR, 2021)

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

Re-ranking via local embeddings: A use case with permutation-based indexing and the nSimplex projection. - Lucia Vadicamo; Claudio Gennaro; Fabrizio Falchi; Edgar Chávez; Richard Connor 001; Giuseppe Amato 001 (Inf. Syst., 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)

Hebbian semi-supervised learning in a sample efficiency setting. - Gabriele Lagani; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (Neural Networks, 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)

Fine-Grained Visual Textual Alignment for Cross-Modal Retrieval Using Transformer Encoders. - Nicola Messina; Giuseppe Amato 001; Andrea Esuli; Fabrizio Falchi; Claudio Gennaro; Stéphane Marchand-Maillet (ACM Trans. Multim. Comput. Commun. Appl., 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)

Deep Features for CBIR with Scarce Data using Hebbian Learning. - Gabriele Lagani; Davide Bacciu; Claudio Gallicchio; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (CBMI, 2022)

ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval. - Nicola Messina; Matteo Stefanini; Marcella Cornia; Lorenzo Baraldi 001; Fabrizio Falchi; Giuseppe Amato 001; Rita Cucchiara (CBMI, 2022)

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

Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection. - Davide Alessandro Coccomini; Roberto Caldelli; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (MAD@ICMR, 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)

FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level. - Gabriele Lagani; Claudio Gennaro; Hannes Fassold; 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)

Actor-Critic Scheduling for Path-Aware Air-to-Ground Multipath Multimedia Delivery. - Achilles Machumilane; Alberto Gotta; Pietro Cassarà; Claudio Gennaro; Giuseppe Amato 001 (VTC Spring, 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)

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)

The Face Deepfake Detection Challenge. - Luca Guarnera; Oliver Giudice; Francesco Guarnera; Alessandro Ortis; Giovanni Puglisi; Antonino Barbaro Paratore; Linh M. Q. Bui; Marco Fontani; Davide Alessandro Coccomini; Roberto Caldelli; Fabrizio Falchi; Claudio Gennaro; et al. (J. Imaging, 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)

Comparing the performance of Hebbian against backpropagation learning using convolutional neural networks. - Gabriele Lagani; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (Neural Comput. Appl., 2022)

Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport. - Luca Ciampi; Pawel Foszner; Nicola Messina; Michal Staniszewski; Claudio Gennaro; Fabrizio Falchi; Gianluca Serao; Michal Cogiel; Dominik Golba; Agnieszka Szczesna; Giuseppe Amato 001 (Sensors, 2022)

MOCCA: Multilayer One-Class Classification for Anomaly Detection. - Fabio Valerio Massoli; Fabrizio Falchi; Alperen Kantarci; Seymanur Akti; Hazim Kemal Ekenel; Giuseppe Amato 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Night and Day Instance Segmented Park (NDISPark) Dataset: a Collection of Images taken by Day and by Night for Vehicle Detection, Segmentation and Counting in Parking Areas. - Luca Ciampi; Carlos Santiago; João Paulo Costeira; Claudio Gennaro; Giuseppe Amato 001 (Zenodo, 2022)

Bus Violence: a large-scale benchmark for video violence detection in public transport. - Pawel Foszner; Michal Staniszewski; Agnieszka Szczesna; Michal Cogiel; Dominik Golba; Luca Ciampi; Nicola Messina; Claudio Gennaro; Fabrizio Falchi; Giuseppe Amato 001; Gianluca Serao (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)

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

Traffic Scheduling in Non-Stationary Multipath Non-Terrestrial Networks: A Reinforcement Learning Approach. - Achilles Machumilane; Alberto Gotta; Pietro Cassarà; Claudio Gennaro; Giuseppe Amato 001 (ICC, 2023)

MC-GTA: A Synthetic Benchmark for Multi-Camera Vehicle Tracking. - Luca Ciampi; Nicola Messina; Gaetano Emanuele Valenti; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro (ICIAP (1), 2023)

Unsupervised Domain Adaptation for Video Violence Detection in the Wild. - Luca Ciampi; Carlos Santiago; João Paulo Costeira; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (IMPROVE, 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)

AIMH Lab Approaches for Deepfake Detection. - Davide Alessandro Coccomini; Roberto Caldelli; Andrea Esuli; Fabrizio Falchi; Claudio Gennaro; Nicola Messina; Giuseppe Amato 001 (Ital-IA, 2023)

AIMH Lab for a Susteinable Bio-Inspired AI. - Gabriele Lagani; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (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)

Adversarial Magnification to Deceive Deepfake Detection Through Super Resolution. - Davide Alessandro Coccomini; Roberto Caldelli; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro (PKDD/ECML Workshops (2), 2023)

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

Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey. - Gabriele Lagani; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (CoRR, 2023)

Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey. - Gabriele Lagani; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (CoRR, 2023)

A Leap among Quantum Computing and Quantum Neural Networks: A Survey. - Fabio Valerio Massoli; Lucia Vadicamo; Giuseppe Amato 001; Fabrizio Falchi (ACM Comput. Surv., 2023)

Pest Sticky Traps: a dataset for Whitefly Pest Population Density Estimation in Chromotropic Sticky Traps. - Luca Ciampi; Valeria Zeni; Luca Incrocci; Angelo Canale; Giovanni Benelli; Fabrizio Falchi; Giuseppe Amato 001; Stefano Chessa (Zenodo, 2023)

Learning-Based Traffic Scheduling in Non-Stationary Multipath 5G Non-Terrestrial Networks. - Achilles Machumilane; Alberto Gotta; Pietro Cassarà; Giuseppe Amato 001; Claudio Gennaro (Remote. Sens., 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)

Induced permutations for approximate metric search. - Lucia Vadicamo; Giuseppe Amato 001; Claudio Gennaro (Inf. Syst., 2023)

A deep learning-based pipeline for whitefly pest abundance estimation on chromotropic sticky traps. - Luca Ciampi; Valeria Zeni; Luca Incrocci; Angelo Canale; Giovanni Benelli; Fabrizio Falchi; Giuseppe Amato 001; Stefano Chessa (Ecol. Informatics, 2023)

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

A Biologically-Inspired Approach to Biomedical Image Segmentation. - Luca Ciampi; Gabriele Lagani; Giuseppe Amato 001; Fabrizio Falchi (ECCV Workshops (14), 2024)

Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection. - Davide Alessandro Coccomini; Roberto Caldelli; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (ECCV Workshops (21), 2024)

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge. - Gabriele Lagani; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (ECCV Workshops (11), 2024)

Robustness and Generalization of Synthetic Images Detectors. - Davide Alessandro Coccomini; Roberto Caldelli; Claudio Gennaro; Giuseppe Fiameni; Giuseppe Amato 001; Fabrizio Falchi (Ital-IA, 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)

Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection. - Davide Alessandro Coccomini; Roberto Caldelli; Claudio Gennaro; Giuseppe Fiameni; Giuseppe Amato 001; Fabrizio Falchi (CoRR, 2024)

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging. - Luca Ciampi; Gabriele Lagani; Giuseppe Amato 001; Fabrizio Falchi (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)

Spatio-Temporal Reconstruction of Large Environments with Artificial Hallucinations. - Marco Di Benedetto 001; Giulio Federico; Giuseppe Amato 001 (ERCIM News, 2024)

Scalable bio-inspired training of Deep Neural Networks with FastHebb. - Gabriele Lagani; Fabrizio Falchi; Claudio Gennaro; Hannes Fassold; Giuseppe Amato 001 (Neurocomputing, 2024)

Detecting images generated by diffusers. - Davide Alessandro Coccomini; Andrea Esuli; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (PeerJ Comput. Sci., 2024)

MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection. - Davide Alessandro Coccomini; Giorgos Kordopatis-Zilos; Giuseppe Amato 001; Roberto Caldelli; Fabrizio Falchi; Symeon Papadopoulos; Claudio Gennaro (IEEE Trans. Inf. Forensics Secur., 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)

MC-GTA: A Synthetic Benchmark for Multi-Camera Vehicle Tracking. - Luca Ciampi; Nicola Messina; Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Gaetano Emanuele Valenti (Zenodo, 2024)

In the Wild Video Violence Detection: An Unsupervised Domain Adaptation Approach. - Luca Ciampi; Carlos Santiago; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato 001 (SN Comput. Sci., 2024)

CroQS Benchmark. - Giacomo Pacini; Fabio Carrara; Nicola Messina; Nicola Tonellotto; Giuseppe Amato 001; Fabrizio Falchi (Zenodo, 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)

A Comparative Demonstration of Relevance Feedback Methods for Image Retrieval. - Francesca Scotti; Lucia Vadicamo; Giuseppe Amato 001; Fabio Carrara (SISAP, 2025)

Mind the Prompt: A Novel Benchmark for Prompt-Based Class-Agnostic Counting. - Luca Ciampi; Nicola Messina; Matteo Pierucci; Giuseppe Amato 001; Marco Avvenuti; Fabrizio Falchi (WACV, 2025)

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

A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches. - Luca Ciampi; Ali Azmoudeh; Elif Ecem Akbaba; Erdi Saritas; Ziya Ata Yazici; Hazim Kemal Ekenel; Giuseppe Amato 001; Fabrizio Falchi (CoRR, 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)

Grand Traffic Auto (GTA) Dataset: a Collection of Synthetic Images for Vehicle Detection, Segmentation and Counting. - Luca Ciampi; Carlos Santiago; João Paulo Costeira; Claudio Gennaro; Giuseppe Amato 001 (Zenodo, 2025)

Semi-Supervised Biomedical Image Segmentation via Diffusion Models and Teacher-Student Co-Training. - Luca Ciampi; Gabriele Lagani; Giuseppe Amato 001; Fabrizio Falchi (CoRR, 2025)

CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones. - Giacomo Pacini; Lorenzo Bianchi 001; Luca Ciampi; Nicola Messina; Giuseppe Amato 001; Fabrizio Falchi (CoRR, 2025)

Comparison of Different Deep Neural Network Models in the Cultural Heritage Domain. - Teodor Boyadzhiev; Gabriele Lagani; Luca Ciampi; Giuseppe Amato 001; Krassimira Ivanova (CoRR, 2025)

From Neurons to Computation: Biological Reservoir Computing for Pattern Recognition. - Ludovico Iannello; Luca Ciampi; Gabriele Lagani; Fabrizio Tonelli; Eleonora Crocco; Lucio Maria Calcagnile; Angelo Di Garbo; Federico Cremisi; Giuseppe Amato 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)

From Neural Activity to Computation: Biological Reservoirs for Pattern Recognition in Digit Classification. - Ludovico Iannello; Luca Ciampi; Fabrizio Tonelli; Gabriele Lagani; Lucio Maria Calcagnile; Federico Cremisi; Angelo Di Garbo; Giuseppe Amato 001 (CoRR, 2025)