Giuseppe Amato
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
71
Venues
24
Active years
1992–2026
Best venue rank
A*
Where they publish
- BSISAP17 papers
- CCBMI10 papers
- NationalICIAP6 papers
- A*ECCV5 papers
- BMMM5 papers
- BICPR3 papers
- CISCC3 papers
- AWACV2 papers
- AECIR2 papers
- A*SIGIR2 papers
- BICAART2 papers
- BSMC2 papers
- A*ICCV1 paper
- BVTC1 paper
- AECAI1 paper
- BICIP1 paper
- BGLOBECOM1 paper
- NationalMISSI1 paper
- BDaWaK1 paper
- NationalICCVG1 paper
- CADBIS1 paper
- A*SODA1 paper
- A*VLDB1 paper
- BSAS1 paper
Papers
71 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | CountingDINO A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones. | Giacomo Pacini, Lorenzo Bianchi, Luca Ciampi, Nicola Messina, Giuseppe Amato, Fabrizio Falchi |
| 2025 | ECIR | 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, Fabrizio Falchi |
| 2025 | ICCV | 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 |
| 2025 | WACV | Mind the Prompt: A Novel Benchmark for Prompt-Based Class-Agnostic Counting. | Luca Ciampi, Nicola Messina, Matteo Pierucci, Giuseppe Amato, Marco Avvenuti, Fabrizio Falchi |
| 2025 | SISAP | A Comparative Demonstration of Relevance Feedback Methods for Image Retrieval. | Francesca Scotti, Lucia Vadicamo, Giuseppe Amato, Fabio Carrara |
| 2024 | CBMI | Visione 5.0: Toward Evaluation With Novice Users. | Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina |
| 2024 | ECCV | A Biologically-Inspired Approach to Biomedical Image Segmentation. | Luca Ciampi, Gabriele Lagani, Giuseppe Amato, Fabrizio Falchi |
| 2024 | ECCV | Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection. | Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato |
| 2024 | ECCV | CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge. | Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato |
| 2024 | MMM | VISIONE 5.0: Enhanced User Interface and AI Models for VBS2024. | Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo |
| 2023 | CBMI | VISIONE for newbies: an easier-to-use video retrieval system. | Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo |
| 2023 | ECIR | SegmentCodeList: Unsupervised Representation Learning for Human Skeleton Data Retrieval. | Jan Sedmidubsk, Fabio Carrara, Giuseppe Amato |
| 2023 | ICIAP | MC-GTA: A Synthetic Benchmark for Multi-Camera Vehicle Tracking. | Luca Ciampi, Nicola Messina, Gaetano Emanuele Valenti, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro |
| 2023 | MMM | VISIONE at Video Browser Showdown 2023. | Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo |
| 2023 | SISAP | Vec2Doc: Transforming Dense Vectors into Sparse Representations for Efficient Information Retrieval. | Fabio Carrara, Claudio Gennaro, Lucia Vadicamo, Giuseppe Amato |
| 2022 | CBMI | Deep Features for CBIR with Scarce Data using Hebbian Learning. | Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato |
| 2022 | CBMI | ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval. | Nicola Messina, Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Fabrizio Falchi, Giuseppe Amato, Rita Cucchiara |
| 2022 | ICIAP | Recurrent Vision Transformer for Solving Visual Reasoning Problems. | Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi |
| 2022 | MMM | VISIONE at Video Browser Showdown 2022. | Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo |
| 2022 | VTC | Actor-Critic Scheduling for Path-Aware Air-to-Ground Multipath Multimedia Delivery. | Achilles Machumilane, Alberto Gotta, Pietro Cassar, Claudio Gennaro, Giuseppe Amato |
| 2022 | SISAP | Approximate Nearest Neighbor Search on Standard Search Engines. | Fabio Carrara, Lucia Vadicamo, Claudio Gennaro, Giuseppe Amato |
| 2022 | SISAP | FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level. | Gabriele Lagani, Claudio Gennaro, Hannes Fassold, Giuseppe Amato |
| 2021 | CBMI | Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features. | Nicola Messina, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Stphane Marchand-Maillet |
| 2021 | MMM | VISIONE at Video Browser Showdown 2021. | Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo |
| 2021 | SISAP | On Generalizing Permutation-Based Representations for Approximate Search. | Lucia Vadicamo, Claudio Gennaro, Giuseppe Amato |
| 2020 | ECAI | Unsupervised vehicle counting via multiple camera domain adaptation. | Luca Ciampi, Carlos Santiago, Joo Paulo Costeira, Claudio Gennaro, Giuseppe Amato |
| 2020 | ICPR | Combining GANs and AutoEncoders for efficient anomaly detection. | Fabio Carrara, Giuseppe Amato, Luca Brombin, Fabrizio Falchi, Claudio Gennaro |
| 2020 | ICPR | Defending Neural ODE Image Classifiers from Adversarial Attacks with Tolerance Randomization. | Fabio Carrara, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato |
| 2020 | ICPR | Transformer Reasoning Network for Image- Text Matching and Retrieval. | Nicola Messina, Fabrizio Falchi, Andrea Esuli, Giuseppe Amato |
| 2020 | SISAP | Learning Distance Estimators from Pivoted Embeddings of Metric Objects. | Fabio Carrara, Claudio Gennaro, Fabrizio Falchi, Giuseppe Amato |
| 2020 | SISAP | Cross-Resolution Deep Features Based Image Search. | Fabio Valerio Massoli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato |
| 2019 | CBMI | Learning Safety Equipment Detection using Virtual Worlds. | Marco Di Benedetto, Enrico Meloni, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro |
| 2019 | CBMI | Testing Deep Neural Networks on the Same-Different Task. | Nicola Messina, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro |
| 2019 | ICIAP | Hebbian Learning Meets Deep Convolutional Neural Networks. | Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Gabriele Lagani |
| 2019 | ICIAP | Learning Pedestrian Detection from Virtual Worlds. | Giuseppe Amato, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Nicola Messina |
| 2019 | ICIAP | Evaluation of Continuous Image Features Learned by ODE Nets. | Fabio Carrara, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro |
| 2019 | ICIAP | Improving Multi-scale Face Recognition Using VGGFace2. | Fabio Valerio Massoli, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Claudio Vairo |
| 2019 | ICIP | Exploiting CNN Layer Activations to Improve Adversarial Image Classification. | Roberto Caldelli, Rudy Becarelli, Fabio Carrara, Fabrizio Falchi, Giuseppe Amato |
| 2019 | ISCC | Counting Vehicles with Deep Learning in Onboard UAV Imagery. | Giuseppe Amato, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro |
| 2019 | MMM | VISIONE at VBS2019. | Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo, Claudio Vairo |
| 2018 | ECCV | Adversarial Examples Detection in Features Distance Spaces. | Fabio Carrara, Rudy Becarelli, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato |
| 2018 | ECCV | Learning Relationship-Aware Visual Features. | Nicola Messina, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro |
| 2018 | GLOBECOM | A Wireless Smart Camera Network for Parking Monitoring. | Giuseppe Amato, Paolo Bolettieri, Davide Moroni, Fabio Carrara, Luca Ciampi, Gabriele Pieri, Claudio Gennaro, Giuseppe Riccardo Leone, Claudio Vairo |
| 2018 | MISSI | Deep Learning Techniques for Visual Food Recognition on a Mobile App. | Michele De Bonis, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Paolo Manghi |
| 2018 | SIGIR | Large-Scale Image Retrieval with Elasticsearch. | Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro |
| 2018 | SISAP | Re-ranking Permutation-Based Candidate Sets with the n-Simplex Projection. | Giuseppe Amato, Edgar Chvez, Richard Connor, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo |
| 2017 | CBMI | Searching and annotating 100M Images with YFCC100M-HNfc6 and MI-File. | Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti |
| 2017 | CBMI | Detecting adversarial example attacks to deep neural networks. | Fabio Carrara, Fabrizio Falchi, Roberto Caldelli, Giuseppe Amato, Roberta Fumarola, Rudy Becarelli |
| 2017 | SIGIR | Social Media Image Recognition for Food Trend Analysis. | Giuseppe Amato, Paolo Bolettieri, Vinicius Monteiro de Lira, Cristina Ioana Muntean, Raffaele Perego, Chiara Renso |
| 2016 | DaWaK | Large Scale Indexing and Searching Deep Convolutional Neural Network Features. | Giuseppe Amato, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti |
| 2016 | ISCC | Car parking occupancy detection using smart camera networks and Deep Learning. | Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Claudio Vairo |
| 2016 | SISAP | YFCC100M-HNfc6: A Large-Scale Deep Features Benchmark for Similarity Search. | Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti |
| 2016 | SISAP | Deep Permutations: Deep Convolutional Neural Networks and Permutation-Based Indexing. | Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo |
| 2014 | SISAP | Some Theoretical and Experimental Observations on Permutation Spaces and Similarity Search. | Giuseppe Amato, Fabrizio Falchi, Fausto Rabitti, Lucia Vadicamo |
| 2013 | SISAP | Large Scale Image Retrieval Using Vector of Locally Aggregated Descriptors. | Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Claudio Gennaro |
| 2013 | SISAP | Pivot Selection Strategies for Permutation-Based Similarity Search. | Giuseppe Amato, Andrea Esuli, Fabrizio Falchi |
| 2011 | CBMI | Combining local and global visual feature similarity using a text search engine. | Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti |
| 2011 | ICAART | Local Feature based Image Similarity Functions for kNN Classification. | Giuseppe Amato, Fabrizio Falchi |
| 2011 | ICAART | On kNN Classification and Local Feature Based Similarity Functions. | Giuseppe Amato, Fabrizio Falchi |
| 2011 | ISCC | Efficient detection of composite events in Wireless Sensor Networks: Design and evaluation. | Giuseppe Amato, Stefano Chessa, Claudio Gennaro, Claudio Vairo |
| 2011 | SISAP | Geometric consistency checks for kNN based image classification relying on local features. | Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro |
| 2011 | SISAP | Element detection relying on information retrieval techniques applied to laser spectroscopy. | Giuseppe Amato, Stefano Legnaioli, Giulia Lorenzetti, Vincenzo Palleschi, Lorenzo Pardini, Fausto Rabitti |
| 2010 | SMC | Modeling detection and tracking of complex events in wireless sensor networks. | Claudio Vairo, Giuseppe Amato, Stefano Chessa, Paolo Valleri |
| 2010 | SISAP | kNN based image classification relying on local feature similarity. | Giuseppe Amato, Fabrizio Falchi |
| 2009 | SISAP | Searching by Similarity and Classifying Images on a Very Large Scale. | Giuseppe Amato, Pasquale Savino |
| 2006 | SMC | The Stream System: a Data Collection and Communication Abstraction for Sensor Networks. | Giuseppe Amato, Paolo Baronti, Stefano Chessa, Valentina Masi |
| 2004 | ICCVG | Image Classifiers for Scene Analysis. | Bertrand Le Saux, Giuseppe Amato |
| 1997 | ADBIS | A Query Language for Similarity-Based Retrieval of Multimedia Data. | Giuseppe Amato, Gianni Mainetto, Pasquale Savino |
| 1997 | SODA | Experimental Analysis of Dynamic Minimum Spanning Tree Algorithms (Extended Abstract). | Giuseppe Amato, Giuseppe Cattaneo, Giuseppe F. Italiano |
| 1993 | VLDB | Data Sharing Analysis for a Database Programming Lanaguage via Abstract Interpretation. | Giuseppe Amato, Fosca Giannotti, Gianni Mainetto |
| 1992 | SAS | Analysis of Concurrent Transactions in a Functional Database Programming Language. | Giuseppe Amato, Fosca Giannotti, Gianni Mainetto |