A Content-Addressable Network for Similarity Search in Metric Spaces. - Fabrizio Falchi; Claudio Gennaro; Pavel Zezula (DBISP2P, 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)

On scalability of the similarity search in the world of peers. - Michal Batko; David Novak; Fabrizio Falchi; Pavel Zezula (Infoscale, 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)

A Digital Library Framework for Reusing e-Learning Video Documents. - Paolo Bolettieri; Fabrizio Falchi; Claudio Gennaro; Fausto Rabitti (EC-TEL, 2007)

A distributed incremental nearest neighbor algorithm. - Fabrizio Falchi; Claudio Gennaro; Fausto Rabitti; Pavel Zezula (Infoscale, 2007)

Florentine Coats of Arms on the Web: Experimenting with Retrieval Based on Text or Image Content. - Fabrizio Falchi; Fausto Rabitti; Werner Schweibenz; Jan Simane (ISI, 2007)

A digital rights aware similarity measure for multimedia documents. - Walter Allasia; Fabrizio Falchi; Francesco Gallo; Nicola Orio (MS, 2007)

Automatic metadata extraction and indexing for reusing e-learning multimedia objects. - Paolo Bolettieri; Fabrizio Falchi; Claudio Gennaro; Fausto Rabitti (MS, 2007)

SAPIR: Scalable and Distributed Image Searching. - Fabrizio Falchi; Mouna Kacimi; Yosi Mass; Fausto Rabitti; Pavel Zezula (SAMT (Posters and Demos), 2007)

A Content-Addressable Network for Similarity Search in Metric Spaces. - Fabrizio Falchi (2007)

A metric cache for similarity search. - Fabrizio Falchi; Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Fausto Rabitti (LSDS-IR, 2008)

Audio-Visual Content Analysis in P2P Networks: The SAPIR Approach. - Walter Allasia; Fabrizio Falchi; Francesco Gallo; Mouna Kacimi; Aaron Kaplan; Jonathan Mamou; Yosi Mass; Nicola Orio (DEXA Workshops, 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)

Special track on Engineering Large-Scale Distributed Systems: editorial message. - Fabrizio Falchi; Claudio Lucchese (SAC, 2008)

Crawling, Indexing, and Similarity Searching Images on the Web. - Michal Batko; Fabrizio Falchi; Claudio Lucchese; David Novak; Raffaele Perego 001; Fausto Rabitti; Jan Sedmidubský; Pavel Zezula (SEBD, 2008)

Scalability comparison of Peer-to-Peer similarity search structures. - Michal Batko; David Novak; Fabrizio Falchi; Pavel Zezula (Future Gener. Comput. Syst., 2008)

Efficient Video-Stream Filtering. - Fabrizio Falchi; Claudio Gennaro; Pasquale Savino; Peter Stanchev (IEEE Multim., 2008)

Erratum to "Nearest neighbor search in metric spaces through Content-Addressable Networks" [Information Processing and Management 43 (2007) 665-683]. - Fabrizio Falchi; Claudio Gennaro; Pavel Zezula (Inf. Process. Manag., 2008)

Nearest neighbor search in metric spaces through Content-Addressable Networks. - Fabrizio Falchi; Claudio Gennaro; Pavel Zezula (Inf. Process. Manag., 2008)

Caching content-based queries for robust and efficient image retrieval. - Fabrizio Falchi; Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Fausto Rabitti (EDBT, 2009)

Searching 100M Images by Content Similarity. - Paolo Bolettieri; Fabrizio Falchi; Claudio Lucchese; Yosi Mass; Raffaele Perego 001; Fausto Rabitti; Michal Shmueli-Scheuer (IRCDL, 2009)

Caching Algorithms for Similarity Search. - Fabrizio Falchi; Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Fausto Rabitti (SEBD, 2009)

CoPhIR: a Test Collection for Content-Based Image Retrieval - Paolo Bolettieri; Andrea Esuli; Fabrizio Falchi; Claudio Lucchese; Raffaele Perego 001; Tommaso Piccioli; Fausto Rabitti (CoRR, 2009)

Adaptive Committees of Feature-Specific Classifiers for Image Classification. - Fabrizio Falchi; Tiziano Fagni; Fabrizio Sebastiani 001 (ERCIM News, 2009)

Distance browsing in distributed multimedia databases. - Fabrizio Falchi; Claudio Gennaro; Fausto Rabitti; Pavel Zezula (Future Gener. Comput. Syst., 2009)

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

Building a web-scale image similarity search system. - Michal Batko; Fabrizio Falchi; Claudio Lucchese; David Novak; Raffaele Perego 001; Fausto Rabitti; Jan Sedmidubský; Pavel Zezula (Multim. Tools Appl., 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)

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)

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

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

Similarity caching in large-scale image retrieval. - Fabrizio Falchi; Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Fausto Rabitti (Inf. Process. Manag., 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)

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)

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)

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)

Searching the EAGLE Epigraphic Material Through Image Recognition via a Mobile Device. - Paolo Bolettieri; Vittore Casarosa; Fabrizio Falchi; Lucia Vadicamo; Philippe Martineau; Silvia Orlandi; Raffaella Santucci (SISAP, 2015)

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

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

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

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)

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)

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)

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)

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)

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)

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

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

SPLX-Perm: A Novel Permutation-Based Representation for Approximate Metric Search. - Lucia Vadicamo; Richard Connor 001; Fabrizio Falchi; Claudio Gennaro; Fausto Rabitti (SISAP, 2019)

Metric Embedding into the Hamming Space with the n-Simplex Projection. - Lucia Vadicamo; Vladimir Mic; Fabrizio Falchi; Pavel Zezula (SISAP, 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)

About Deep Learning, Intuition and Thinking. - Fabrizio Falchi (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)

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)

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)

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)

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

TweepFake: about Detecting Deepfake Tweets. - Tiziano Fagni; Fabrizio Falchi; Margherita Gambini; Antonio Martella; Maurizio Tesconi (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)

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)

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

Generative Adversarial Networks for Astronomical Images Generation. - Davide Coccomini; Nicola Messina; Claudio Gennaro; 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)

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

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)

MOBDrone: A Drone Video Dataset for Man OverBoard Rescue. - Donato Cafarelli; Luca Ciampi; Lucia Vadicamo; Claudio Gennaro; Andrea Berton; Marco Paterni; Chiara Benvenuti; Mirko Passera; Fabrizio Falchi (ICIAP (2), 2022)

Combining EfficientNet and Vision Transformers for Video Deepfake Detection. - Davide Coccomini; Nicola Messina; Claudio Gennaro; Fabrizio Falchi (ICIAP (3), 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)

Towards Unsupervised Machine Learning Approaches for Knowledge Graphs. - Filippo Minutella; Fabrizio Falchi; Paolo Manghi; Michele De Bonis; Nicola Messina (IRCDL, 2022)

A Spatio- Temporal Attentive Network for Video-Based Crowd Counting. - Marco Avvenuti; Marco Bongiovanni; Luca Ciampi; Fabrizio Falchi; Claudio Gennaro; Nicola Messina (ISCC, 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)

Reinforced Damage Minimization in Critical Events for Self-driving Vehicles. - Francesco Merola; Fabrizio Falchi; Claudio Gennaro; Marco Di Benedetto 001 (VISIGRAPP (5: VISAPP), 2022)

On pushing DeepFake Tweet Detection capabilities to the limits. - Margherita Gambini; Tiziano Fagni; Fabrizio Falchi; Maurizio Tesconi (WebSci, 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)

Transformer-Based Multi-modal Proposal and Re-Rank for Wikipedia Image-Caption Matching. - Nicola Messina; Davide Alessandro Coccomini; Andrea Esuli; Fabrizio Falchi (CoRR, 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)

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)

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)

MOBDrone: a large-scale drone-view dataset for man overboard detection. - Donato Cafarelli; Luca Ciampi; Lucia Vadicamo; Claudio Gennaro; Andrea Berton; Marco Paterni; Chiara Benvenuti; Mirko Passera; Fabrizio Falchi (Zenodo, 2022)

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

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)

A Graph Neural Network Approach for Evaluating Correctness of Groups of Duplicates. - Michele De Bonis; Filippo Minutella; Fabrizio Falchi; Paolo Manghi (TPDL, 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)

An Optimized Pipeline for Image-Based Localization in Museums from Egocentric Images. - Nicola Messina; Fabrizio Falchi; Antonino Furnari; Claudio Gennaro; Giovanni Maria Farinella (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)

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

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

Detecting Generated Text and Attributing Language Model Source with Fine-tuned Models and Semantic Understanding. - Margherita Gambini; Marco Avvenuti; Fabrizio Falchi; Maurizio Tesconi; Tiziano Fagni (IberLEF@SEPLN, 2023)

Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language. - Nicola Messina; Jan Sedmidubský; Fabrizio Falchi; Tomás Rebok (SIGIR, 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)

On the Generalization of Deep Learning Models in Video Deepfake Detection. - Davide Alessandro Coccomini; Roberto Caldelli; Fabrizio Falchi; Claudio Gennaro (J. Imaging, 2023)

Graph-based methods for Author Name Disambiguation: a survey. - Michele De Bonis; Fabrizio Falchi; Paolo Manghi (PeerJ Comput. Sci., 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)

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)

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)

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

You Write like a GPT. - Andrea Esuli; Fabrizio Falchi; Marco Malvaldi; Giovanni Puccetti 002 (CLiC-it, 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)

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)

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)

Joint-Dataset Learning and Cross-Consistent Regularization for Text-to-Motion Retrieval. - Nicola Messina; Jan Sedmidubský; Fabrizio Falchi; Tomás Rebok (CoRR, 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)

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)

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)

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)

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)

Cascaded transformer-based networks for wikipedia large-scale image-caption matching. - Nicola Messina; Davide Alessandro Coccomini; Andrea Esuli; Fabrizio Falchi (Multim. Tools Appl., 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)

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)

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)

Selective state models are what you need for animal action recognition. - Edoardo Fazzari; Donato Romano; Fabrizio Falchi; Cesare Stefanini (Ecol. Informatics, 2025)

Animal behavior analysis methods using deep learning: A survey. - Edoardo Fazzari; Donato Romano; Fabrizio Falchi; Cesare Stefanini (Expert Syst. Appl., 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)

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)