Giuseppe Amato

ORCID

Publication Activity (10 Years)

Years Active: 1992-2022
Publications (10 Years): 124

Top Venues

Technical University of Dortmund, Germany (PHD)

Education History

Technical University of Dortmund, Germany

PHD

Publications

Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection. MAD@ICMR (2022)
Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Deep Features for CBIR with Scarce Data using Hebbian Learning. CBMI (2022)
Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Claudio Gennaro, Giuseppe Amato
Actor-Critic Scheduling for Path-Aware Air-to-Ground Multipath Multimedia Delivery. VTC Spring (2022)
Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Claudio Gennaro, Giuseppe Amato
Actor-Critic Scheduling for Path-Aware Air-to-Ground Multipath Multimedia Delivery. CoRR (2022)
Gabriele Lagani, Claudio Gennaro, Hannes Fassold, Giuseppe Amato
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level. CoRR (2022)
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Comparing the performance of Hebbian against backpropagation learning using convolutional neural networks. Neural Comput. Appl. 34 (8) (2022)
Luca Ciampi, Fabio Carrara, Valentino Totaro, Raffaele Mazziotti, Leonardo Lupori, Carlos Santiago, Giuseppe Amato, Tommaso Pizzorusso, Claudio Gennaro
Learning to count biological structures with raters' uncertainty. Medical Image Anal. 80 (2022)
Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Deep Features for CBIR with Scarce Data using Hebbian Learning. CoRR (2022)
Luca Ciampi, Claudio Gennaro, Fabio Carrara, Fabrizio Falchi, Claudio Vairo, Giuseppe Amato
Multi-camera vehicle counting using edge-AI. Expert Syst. Appl. 207 (2022)
Luca Ciampi, Fabio Carrara, Giuseppe Amato, Claudio Gennaro
Counting or Localizing? Evaluating Cell Counting and Detection in Microscopy Images. VISIGRAPP (4: VISAPP) (2022)
Nicola Messina, Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Fabrizio Falchi, Giuseppe Amato, Rita Cucchiara
ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval. CBMI (2022)
Gabriele Lagani, Claudio Gennaro, Hannes Fassold, Giuseppe Amato
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level. SISAP (2022)
Marco Di Benedetto, Fabio Carrara, Benedetta Tafuri, Salvatore Nigro, Roberto De Blasi, Fabrizio Falchi, Claudio Gennaro, Giuseppe Gigli, Giancarlo Logroscino, Giuseppe Amato
Deep networks for behavioral variant frontotemporal dementia identification from multiple acquisition sources. Comput. Biol. Medicine 148 (2022)
Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi
Recurrent Vision Transformer for Solving Visual Reasoning Problems. ICIAP (3) (2022)
Fabio Valerio Massoli, Fabrizio Falchi, Alperen Kantarci, Seymanur Akti, Hazim Kemal Ekenel, Giuseppe Amato
MOCCA: Multilayer One-Class Classification for Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Marco Di Benedetto, Fabio Carrara, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
An embedded toolset for human activity monitoring in critical environments. Expert Syst. Appl. 199 (2022)
Fabio Carrara, Lucia Vadicamo, Claudio Gennaro, Giuseppe Amato
Approximate Nearest Neighbor Search on Standard Search Engines. SISAP (2022)
Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo
VISIONE at Video Browser Showdown 2022. MMM (2) (2022)
Nicola Messina, Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Fabrizio Falchi, Giuseppe Amato, Rita Cucchiara
ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval. CoRR (2022)
Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection. CoRR (2022)
Fabio Valerio Massoli, Donato Cafarelli, Giuseppe Amato, Fabrizio Falchi
A Multi-resolution Training for Expression Recognition in the Wild (Discussion Paper). SEBD (2021)
Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo
VISIONE at Video Browser Showdown 2021. MMM (2) (2021)
Nicola Messina, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
AIMH at SemEval-2021 Task 6: Multimodal Classification Using an Ensemble of Transformer Models. SemEval@ACL/IJCNLP (2021)
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches. LOD (2021)
Donato Cafarelli, Fabio Valerio Massoli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Expression Recognition Analysis in the Wild. CoRR (2021)
Nicola Messina, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Stéphane Marchand-Maillet
Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features. CoRR (2021)
Luca Ciampi, Claudio Gennaro, Fabio Carrara, Fabrizio Falchi, Claudio Vairo, Giuseppe Amato
Multi-Camera Vehicle Counting Using Edge-AI. CoRR (2021)
Fabio Valerio Massoli, Fabio Carrara, Giuseppe Amato, Fabrizio Falchi
Detection of Face Recognition Adversarial Attacks. Comput. Vis. Image Underst. 202 (2021)
Luca Ciampi, Carlos Santiago, João Paulo Costeira, Claudio Gennaro, Giuseppe Amato
Domain Adaptation for Traffic Density Estimation. VISIGRAPP (5: VISAPP) (2021)
Giuseppe Amato, Stefano Chessa, Mauro Dragone, Claudio Gennaro, Claudio Vairo
A Communication Layer for Integrated Sensors and Robotic ecology Solutions to Ambient Intelligence. CoRR (2021)
Marco Di Benedetto, Fabio Carrara, Enrico Meloni, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro
Learning accurate personal protective equipment detection from virtual worlds. Multim. Tools Appl. 80 (15) (2021)
Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi
Recurrent Vision Transformer for Solving Visual Reasoning Problems. CoRR (2021)
Fabio Valerio Massoli, Donato Cafarelli, Giuseppe Amato, Fabrizio Falchi
A Multi-resolution Approach to Expression Recognition in the Wild. CoRR (2021)
Nicola Messina, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Stéphane Marchand-Maillet
Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features. CBMI (2021)
Luca Ciampi, Carlos Santiago, João Paulo Costeira, Claudio Gennaro, Giuseppe Amato
Traffic Density Estimation via Unsupervised Domain Adaptation (Discussion Paper). SEBD (2021)
Giuseppe Amato, Simone Ciccarone, Pasquale Digregorio, Giuseppe Natalucci
A Service Architecture for an Enhanced Cyber Threat Intelligence Capability. ITASEC (2021)
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Hebbian Semi-Supervised Learning in a Sample Efficiency Setting. CoRR (2021)
Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi
Solving the same-different task with convolutional neural networks. Pattern Recognit. Lett. 143 (2021)
Lucia Vadicamo, Claudio Gennaro, Fabrizio Falchi, Edgar Chávez, Richard Connor, Giuseppe Amato
Re-ranking via local embeddings: A use case with permutation-based indexing and the nSimplex projection. Inf. Syst. 95 (2021)
Nicola Messina, Giuseppe Amato, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Stéphane Marchand-Maillet
Fine-Grained Visual Textual Alignment for Cross-Modal Retrieval Using Transformer Encoders. ACM Trans. Multim. Comput. Commun. Appl. 17 (4) (2021)
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Hebbian semi-supervised learning in a sample efficiency setting. Neural Networks 143 (2021)
Lucia Vadicamo, Claudio Gennaro, Giuseppe Amato
On Generalizing Permutation-Based Representations for Approximate Search. SISAP (2021)
Fabio Valerio Massoli, Donato Cafarelli, Claudio Gennaro, Giuseppe Amato, Fabrizio Falchi
MAFER: a Multi-resolution Approach to Facial Expression Recognition. CoRR (2021)
Gabriele Lagani, Raffaele Mazziotti, Fabrizio Falchi, Claudio Gennaro, Guido Marco Cicchini, Tommaso Pizzorusso, Federico Cremisi, Giuseppe Amato
Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation. NER (2021)
Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi
Solving the Same-Different Task with Convolutional Neural Networks. CoRR (2021)
Fabio Valerio Massoli, Lucia Vadicamo, Giuseppe Amato, Fabrizio Falchi
A Leap among Entanglement and Neural Networks: A Quantum Survey. CoRR (2021)
Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo, Claudio Vairo
The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval. J. Imaging 7 (5) (2021)
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Evaluating Hebbian Learning in a Semi-supervised Setting. LOD (2021)
Fabio Carrara, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato
Defending Neural ODE Image Classifiers from Adversarial Attacks with Tolerance Randomization. ICPR Workshops (6) (2020)
Fabio Valerio Massoli, Fabrizio Falchi, Alperen Kantarci, Seymanur Akti, Hazim Kemal Ekenel, Giuseppe Amato
MOCCA: Multi-Layer One-Class Classification for Anomaly Detection. CoRR (2020)
Nicola Messina, Fabrizio Falchi, Andrea Esuli, Giuseppe Amato
Transformer Reasoning Network for Image-Text Matching and Retrieval. CoRR (2020)
Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fabio Valerio Massoli, Claudio Vairo
Multi-Resolution Face Recognition with Drones. SSIP (2020)
Fabio Carrara, Claudio Gennaro, Fabrizio Falchi, Giuseppe Amato
Learning Distance Estimators from Pivoted Embeddings of Metric Objects. SISAP (2020)
Fabio Valerio Massoli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Cross-Resolution Deep Features Based Image Search. SISAP (2020)
Gabriele Lagani, Raffaele Mazziotti, Fabrizio Falchi, Claudio Gennaro, Guido Marco Cicchini, Tommaso Pizzorusso, Federico Cremisi, Giuseppe Amato
Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation. CoRR (2020)
Nicola Messina, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro
Learning visual features for relational CBIR. Int. J. Multim. Inf. Retr. 9 (2) (2020)
Fabio Valerio Massoli, Giuseppe Amato, Fabrizio Falchi
Cross-resolution learning for Face Recognition. Image Vis. Comput. 99 (2020)
Fabio Carrara, Giuseppe Amato, Luca Brombin, Fabrizio Falchi, Claudio Gennaro
Combining GANs and AutoEncoders for Efficient Anomaly Detection. CoRR (2020)
Fabio Valerio Massoli, Fabrizio Falchi, Giuseppe Amato
Cross-resolution face recognition adversarial attacks. Pattern Recognit. Lett. 140 (2020)
Nicola Messina, Giuseppe Amato, Fabrizio Falchi
Re-implementing and Extending Relation Network for R-CBIR. IRCDL (2020)
Fabio Carrara, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro
Continuous ODE-defined Image Features for Adaptive Retrieval. ICMR (2020)
Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo
Large-scale instance-level image retrieval. Inf. Process. Manag. 57 (6) (2020)
Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti, Lucia Vadicamo
Scalar Quantization-Based Text Encoding for Large Scale Image Retrieval. SEBD (2020)
Nicola Messina, Giuseppe Amato, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Stéphane Marchand-Maillet
Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders. CoRR (2020)
Luca Ciampi, Carlos Santiago, João Paulo Costeira, Claudio Gennaro, Giuseppe Amato
Unsupervised vehicle counting via multiple camera domain adaptation. NeHuAI@ECAI (2020)
Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo, Claudio Vairo
The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval. CoRR (2020)
Luca Ciampi, Carlos Santiago, João Paulo Costeira, Claudio Gennaro, Giuseppe Amato
Unsupervised Vehicle Counting via Multiple Camera Domain Adaptation. CoRR (2020)
Fabio Carrara, Giuseppe Amato, Luca Brombin, Fabrizio Falchi, Claudio Gennaro
Combining GANs and AutoEncoders for efficient anomaly detection. ICPR (2020)
Nicola Messina, Fabrizio Falchi, Andrea Esuli, Giuseppe Amato
Transformer Reasoning Network for Image- Text Matching and Retrieval. ICPR (2020)
Luca Ciampi, Nicola Messina, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Virtual to Real Adaptation of Pedestrian Detectors. Sensors 20 (18) (2020)
Gabriele Lagani, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro
Training Convolutional Neural Networks With Hebbian Principal Component Analysis. CoRR (2020)
Hanna Kavalionak, Claudio Gennaro, Giuseppe Amato, Claudio Vairo, Costantino Perciante, Carlo Meghini, Fabrizio Falchi, Fausto Rabitti
Edge-Based Video Surveillance with Embedded Devices. SEBD (2020)
Luca Ciampi, Nicola Messina, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
Virtual to Real adaptation of Pedestrian Detectors for Smart Cities. CoRR (2020)
Fabio Valerio Massoli, Fabrizio Falchi, Giuseppe Amato
kNN-guided Adversarial Attacks. SEBD (2020)
Fabio Valerio Massoli, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Claudio Vairo
Improving Multi-scale Face Recognition Using VGGFace2. ICIAP Workshops (2019)
Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Gabriele Lagani
Hebbian Learning Meets Deep Convolutional Neural Networks. ICIAP (1) (2019)
Fabio Valerio Massoli, Fabio Carrara, Giuseppe Amato, Fabrizio Falchi
Detection of Face Recognition Adversarial Attacks. CoRR (2019)
Hanna Kavalionak, Claudio Gennaro, Giuseppe Amato, Claudio Vairo, Costantino Perciante, Carlo Meghini, Fabrizio Falchi
Distributed Video Surveillance Using Smart Cameras. J. Grid Comput. 17 (1) (2019)
Nicola Messina, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro
Testing Deep Neural Networks on the Same-Different Task. CBMI (2019)
Fabio Carrara, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato
On the Robustness to Adversarial Examples of Neural ODE Image Classifiers. WIFS (2019)
Fabio Carrara, Fabrizio Falchi, Roberto Caldelli, Giuseppe Amato, Rudy Becarelli
Adversarial image detection in deep neural networks. Multim. Tools Appl. 78 (3) (2019)
Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fabio Valerio Massoli, Nikolaos Passalis, Anastasios Tefas, Alessandro Trivilini, Claudio Vairo
Face Verification and Recognition for Digital Forensics and Information Security. ISDFS (2019)
Fabio Valerio Massoli, Giuseppe Amato, Fabrizio Falchi
Cross-Resolution Learning for Face Recognition. CoRR (2019)
Giuseppe Amato, Malte Behrmann, Frédéric Bimbot, Baptiste Caramiaux, Fabrizio Falchi, Ander García, Joost Geurts, Jaume Gibert, Guillaume Gravier, Hadmut Holken, Hartmut Koenitz, Sylvain Lefebvre, Antoine Liutkus, Fabien Lotte, Andrew Perkis, Rafael Redondo, Enrico Turrin, Thierry Viéville, Emmanuel Vincent
AI in the media and creative industries. CoRR (2019)
Marco Di Benedetto, Enrico Meloni, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro
Learning Safety Equipment Detection using Virtual Worlds. CBMI (2019)
Fabio Carrara, Franca Debole, Claudio Gennaro, Giuseppe Amato
Image Analysis in Technical Documentation. SEBD (2019)
Roberto Caldelli, Rudy Becarelli, Fabio Carrara, Fabrizio Falchi, Giuseppe Amato
Exploiting CNN Layer Activations to Improve Adversarial Image Classification. ICIP (2019)
Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo, Claudio Vairo
VISIONE at VBS2019. MMM (2) (2019)
Giuseppe Amato, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Nicola Messina
Learning Pedestrian Detection from Virtual Worlds. ICIAP (1) (2019)
Fabio Carrara, Fabrizio Falchi, Giuseppe Amato, Rudy Becarelli, Roberto Caldelli
Detecting Adversarial Inputs by Looking in the Black Box. ERCIM News 2019 (116) (2019)
Fabio Valerio Massoli, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Claudio Vairo
CNN-based System for Low Resolution Face Recognition. SEBD (2019)
Fabio Carrara, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro
Evaluation of Continuous Image Features Learned by ODE Nets. ICIAP (1) (2019)
Giuseppe Amato, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro
Counting Vehicles with Deep Learning in Onboard UAV Imagery. ISCC (2019)
Giuseppe Amato, Paolo Bolettieri, Davide Moroni, Fabio Carrara, Luca Ciampi, Gabriele Pieri, Claudio Gennaro, Giuseppe Riccardo Leone, Claudio Vairo
A Wireless Smart Camera Network for Parking Monitoring. GLOBECOM Workshops (2018)
Luca Ciampi, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti
Counting Vehicles with Cameras. SEBD (2018)
Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro
Large-Scale Image Retrieval with Elasticsearch. SIGIR (2018)
Giuseppe Amato, Edgar Chávez, Richard Connor, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo
Re-ranking Permutation-Based Candidate Sets with the n-Simplex Projection. SISAP (2018)
Giuseppe Amato, Fabrizio Falchi, Lucia Vadicamo
Aggregating binary local descriptors for image retrieval. Multim. Tools Appl. 77 (5) (2018)
Nicola Messina, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro
Learning Relationship-Aware Visual Features. ECCV Workshops (4) (2018)
Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Claudio Vairo
Facial-based Intrusion Detection System with Deep Learning in Embedded Devices. SSIP (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Giuseppe Amato