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2020 – today
- 2023
[j40]Fabio Valerio Massoli
, Lucia Vadicamo, Giuseppe Amato, Fabrizio Falchi:
A Leap among Quantum Computing and Quantum Neural Networks: A Survey. ACM Comput. Surv. 55(5): 98:1-98:37 (2023)- [j39]Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro:
On the Generalization of Deep Learning Models in Video Deepfake Detection. J. Imaging 9(5): 89 (2023) - [j38]Michele De Bonis, Fabrizio Falchi, Paolo Manghi:
Graph-based methods for Author Name Disambiguation: a survey. PeerJ Comput. Sci. 9: e1536 (2023) - [c119]Alessio Serra, Fabio Carrara, Maurizio Tesconi, Fabrizio Falchi:
The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-Modal Distillation. ECAI 2023: 2089-2096 - [c118]Luca Ciampi, Nicola Messina, Gaetano Emanuele Valenti, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
MC-GTA: A Synthetic Benchmark for Multi-Camera Vehicle Tracking. ICIAP (1) 2023: 316-327 - [c117]Nicola Messina, Fabrizio Falchi, Antonino Furnari, Claudio Gennaro, Giovanni Maria Farinella:
An Optimized Pipeline for Image-Based Localization in Museums from Egocentric Images. ICIAP (1) 2023: 512-524 - [c116]Luca Ciampi, Carlos Santiago, João Paulo Costeira, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Unsupervised Domain Adaptation for Video Violence Detection in the Wild. IMPROVE 2023: 37-46 - [c115]Fabio Carrara, Luca Ciampi, Marco Di Benedetto, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
AIMH Lab 2022 Activities for Healthcare. Ital-IA 2023: 128-133 - [c114]Davide Alessandro Coccomini, Roberto Caldelli, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Giuseppe Amato:
AIMH Lab Approaches for Deepfake Detection. Ital-IA 2023: 432-436 - [c113]Luca Ciampi, Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Marco Di Benedetto, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
AIMH Lab 2022 Activities for Vision. Ital-IA 2023: 538-543 - [c112]Edoardo Fazzari, Fabio Carrara, Fabrizio Falchi, Cesare Stefanini:
A Workflow for Developing Biohybrid Intelligent Sensing Systems. Ital-IA 2023: 555-560 - [c111]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
AIMH Lab for a Susteinable Bio-Inspired AI. Ital-IA 2023: 575-584 - [c110]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE: A Large-Scale Video Retrieval System with Advanced Search Functionalities. ICMR 2023: 649-653 - [c109]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE at Video Browser Showdown 2023. MMM (1) 2023: 615-621 - [c108]Margherita Gambini, Marco Avvenuti, Fabrizio Falchi, Maurizio Tesconi, Tiziano Fagni:
Detecting Generated Text and Attributing Language Model Source with Fine-tuned Models and Semantic Understanding. IberLEF@SEPLN 2023 - [c107]Nicola Messina, Jan Sedmidubský, Fabrizio Falchi, Tomás Rebok:
Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language. SIGIR 2023: 2420-2425 - [e3]Fabrizio Falchi, Fosca Giannotti, Anna Monreale, Chiara Boldrini, Salvatore Rinzivillo, Sara Colantonio:
Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023), Pisa, Italy, May 29-30, 2023. CEUR Workshop Proceedings 3486, CEUR-WS.org 2023 [contents] - [i49]Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Detecting Images Generated by Diffusers. CoRR abs/2303.05275 (2023) - [i48]Alessio Serra, Fabio Carrara, Maurizio Tesconi, Fabrizio Falchi:
The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-modal Distillation. CoRR abs/2304.14942 (2023) - [i47]Nicola Messina, Jan Sedmidubský, Fabrizio Falchi, Tomás Rebok:
Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language. CoRR abs/2305.15842 (2023) - [i46]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey. CoRR abs/2307.16235 (2023) - [i45]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey. CoRR abs/2307.16236 (2023) - [i44]Lorenzo Bianchi, Fabio Carrara, Nicola Messina, Claudio Gennaro, Fabrizio Falchi:
The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understanding. CoRR abs/2311.17518 (2023) - 2022
- [j37]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: 105937 (2022) - [j36]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: 117125 (2022) - [j35]Luca Ciampi, Claudio Gennaro, Fabio Carrara, Fabrizio Falchi, Claudio Vairo, Giuseppe Amato:
Multi-camera vehicle counting using edge-AI. Expert Syst. Appl. 207: 117929 (2022) - [j34]Fabio Carrara, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato:
Improving the Adversarial Robustness of Neural ODE Image Classifiers by Tuning the Tolerance Parameter. Inf. 13(12): 555 (2022) - [j33]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, Nicola Messina, Giuseppe Amato, Gianpaolo Perelli, Sara Concas, Carlo Cuccu, Giulia Orrù, Gian Luca Marcialis, Sebastiano Battiato:
The Face Deepfake Detection Challenge. J. Imaging 8(10): 263 (2022) - [j32]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): 6503-6519 (2022) - [j31]Luca Ciampi, Pawel Foszner, Nicola Messina, Michal Staniszewski, Claudio Gennaro, Fabrizio Falchi, Gianluca Serao, Michal Cogiel, Dominik Golba, Agnieszka Szczesna, Giuseppe Amato:
Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport. Sensors 22(21): 8345 (2022) - [j30]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): 2313-2323 (2022) - [c106]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: 64-70 - [c105]Fabio Carrara, Lorenzo Pasco, Claudio Gennaro, Fabrizio Falchi:
Learning to Detect Fallen People in Virtual Worlds. CBMI 2022: 126-130 - [c104]Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Deep Features for CBIR with Scarce Data using Hebbian Learning. CBMI 2022: 136-141 - [c103]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Recurrent Vision Transformer for Solving Visual Reasoning Problems. ICIAP (3) 2022: 50-61 - [c102]Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi:
Combining EfficientNet and Vision Transformers for Video Deepfake Detection. ICIAP (3) 2022: 219-229 - [c101]Donato Cafarelli, Luca Ciampi, Lucia Vadicamo, Claudio Gennaro, Andrea Berton, Marco Paterni, Chiara Benvenuti, Mirko Passera, Fabrizio Falchi:
MOBDrone: A Drone Video Dataset for Man OverBoard Rescue. ICIAP (2) 2022: 633-644 - [c100]Roberto Caldelli, Fabio Carrara, Fabrizio Falchi:
Tuning Neural ODE Networks to Increase Adversarial Robustness in Image Forensics. ICIP 2022: 1496-1500 - [c99]Filippo Minutella, Fabrizio Falchi, Paolo Manghi, Michele De Bonis, Nicola Messina:
Towards Unsupervised Machine Learning Approaches for Knowledge Graphs. IRCDL 2022 - [c98]Marco Avvenuti, Marco Bongiovanni, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Nicola Messina:
A Spatio- Temporal Attentive Network for Video-Based Crowd Counting. ISCC 2022: 1-6 - [c97]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: 52-58 - [c96]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: 543-548 - [c95]Francesco Merola, Fabrizio Falchi, Claudio Gennaro, Marco Di Benedetto:
Reinforced Damage Minimization in Critical Events for Self-driving Vehicles. VISIGRAPP (5: VISAPP) 2022: 258-266 - [c94]Margherita Gambini, Tiziano Fagni, Fabrizio Falchi, Maurizio Tesconi:
On pushing DeepFake Tweet Detection capabilities to the limits. WebSci 2022: 154-163 - [e2]Tomás Skopal, Fabrizio Falchi, Jakub Lokoc, Maria Luisa Sapino, Ilaria Bartolini, Marco Patella:
Similarity Search and Applications - 15th International Conference, SISAP 2022, Bologna, Italy, October 5-7, 2022, Proceedings. Lecture Notes in Computer Science 13590, Springer 2022, ISBN 978-3-031-17848-1 [contents] - [i43]Donato Cafarelli, Luca Ciampi, Lucia Vadicamo, Claudio Gennaro, Andrea Berton, Marco Paterni, Chiara Benvenuti, Mirko Passera, Fabrizio Falchi:
MOBDrone: a Drone Video Dataset for Man OverBoard Rescue. CoRR abs/2203.07973 (2022) - [i42]Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Deep Features for CBIR with Scarce Data using Hebbian Learning. CoRR abs/2205.08935 (2022) - [i41]Nicola Messina, Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi:
Transformer-Based Multi-modal Proposal and Re-Rank for Wikipedia Image-Caption Matching. CoRR abs/2206.10436 (2022) - [i40]Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection. CoRR abs/2206.13829 (2022) - [i39]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 abs/2207.14757 (2022) - [i38]Marco Avvenuti, Marco Bongiovanni, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Nicola Messina:
A Spatio-Temporal Attentive Network for Video-Based Crowd Counting. CoRR abs/2208.11339 (2022) - [i37]Fabio Carrara, Fabrizio Falchi, Maria Girardi, Nicola Messina, Cristina Padovani, Daniele Pellegrini:
Deep learning for structural health monitoring: An application to heritage structures. CoRR abs/2211.10351 (2022) - [i36]Davide Alessandro Coccomini, Giorgos Kordopatis-Zilos, Giuseppe Amato, Roberto Caldelli, Fabrizio Falchi, Symeon Papadopoulos, Claudio Gennaro:
MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection. CoRR abs/2211.10996 (2022) - 2021
- [j29]Fabio Valerio Massoli, Fabio Carrara, Giuseppe Amato, Fabrizio Falchi:
Detection of Face Recognition Adversarial Attacks. Comput. Vis. Image Underst. 202: 103103 (2021) - [j28]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: 101506 (2021) - [j27]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): 76 (2021) - [j26]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): 23241-23253 (2021) - [j25]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Hebbian semi-supervised learning in a sample efficiency setting. Neural Networks 143: 719-731 (2021) - [j24]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Solving the same-different task with convolutional neural networks. Pattern Recognit. Lett. 143: 75-80 (2021) - [j23]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): 128:1-128:23 (2021) - [c93]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: 1-6 - [c92]Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE at Video Browser Showdown 2021. MMM (2) 2021: 473-478 - [c91]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches. LOD 2021: 25-40 - [c90]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Evaluating Hebbian Learning in a Semi-supervised Setting. LOD 2021: 365-379 - [c89]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: 726-729 - [c88]Fabio Valerio Massoli, Donato Cafarelli, Giuseppe Amato, Fabrizio Falchi:
A Multi-resolution Training for Expression Recognition in the Wild (Discussion Paper). SEBD 2021: 427-433 - [c87]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: 1020-1026 - [i35]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Solving the Same-Different Task with Convolutional Neural Networks. CoRR abs/2101.09129 (2021) - [i34]Donato Cafarelli, Fabio Valerio Massoli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Expression Recognition Analysis in the Wild. CoRR abs/2101.09231 (2021) - [i33]Fabio Valerio Massoli, Donato Cafarelli, Giuseppe Amato, Fabrizio Falchi:
A Multi-resolution Approach to Expression Recognition in the Wild. CoRR abs/2103.05723 (2021) - [i32]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Hebbian Semi-Supervised Learning in a Sample Efficiency Setting. CoRR abs/2103.09002 (2021) - [i31]Fabio Valerio Massoli, Donato Cafarelli, Claudio Gennaro, Giuseppe Amato, Fabrizio Falchi:
MAFER: a Multi-resolution Approach to Facial Expression Recognition. CoRR abs/2105.02481 (2021) - [i30]Nicola Messina, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Stéphane Marchand-Maillet:
Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features. CoRR abs/2106.00358 (2021) - [i29]Luca Ciampi, Claudio Gennaro, Fabio Carrara, Fabrizio Falchi, Claudio Vairo, Giuseppe Amato:
Multi-Camera Vehicle Counting Using Edge-AI. CoRR abs/2106.02842 (2021) - [i28]Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi:
Combining EfficientNet and Vision Transformers for Video Deepfake Detection. CoRR abs/2107.02612 (2021) - [i27]Fabio Valerio Massoli, Lucia Vadicamo, Giuseppe Amato, Fabrizio Falchi:
A Leap among Entanglement and Neural Networks: A Quantum Survey. CoRR abs/2107.03313 (2021) - [i26]Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi:
Generative Adversarial Networks for Astronomical Images Generation. CoRR abs/2111.11578 (2021) - [i25]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Recurrent Vision Transformer for Solving Visual Reasoning Problems. CoRR abs/2111.14576 (2021) - 2020
- [j22]Nicola Messina, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro:
Learning visual features for relational CBIR. Int. J. Multim. Inf. Retr. 9(2): 113-124 (2020) - [j21]Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo:
Large-scale instance-level image retrieval. Inf. Process. Manag. 57(6): 102100 (2020) - [j20]Fabio Valerio Massoli, Giuseppe Amato, Fabrizio Falchi:
Cross-resolution learning for Face Recognition. Image Vis. Comput. 99: 103927 (2020) - [j19]Fabio Valerio Massoli, Fabrizio Falchi, Giuseppe Amato:
Cross-resolution face recognition adversarial attacks. Pattern Recognit. Lett. 140: 222-229 (2020) - [j18]Luca Ciampi, Nicola Messina, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Virtual to Real Adaptation of Pedestrian Detectors. Sensors 20(18): 5250 (2020) - [c86]Fabio Carrara, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato:
Defending Neural ODE Image Classifiers from Adversarial Attacks with Tolerance Randomization. ICPR Workshops (6) 2020: 425-438 - [c85]Fabio Carrara, Giuseppe Amato, Luca Brombin, Fabrizio Falchi, Claudio Gennaro:
Combining GANs and AutoEncoders for efficient anomaly detection. ICPR 2020: 3939-3946 - [c84]Nicola Messina, Fabrizio Falchi, Andrea Esuli, Giuseppe Amato:
Transformer Reasoning Network for Image- Text Matching and Retrieval. ICPR 2020: 5222-5229 - [c83]Nicola Messina, Giuseppe Amato, Fabrizio Falchi:
Re-implementing and Extending Relation Network for R-CBIR. IRCDL 2020: 82-92 - [c82]Fabio Carrara, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Continuous ODE-defined Image Features for Adaptive Retrieval. ICMR 2020: 198-206 - [c81]Danilo Sorano, Fabio Carrara, Paolo Cintia, Fabrizio Falchi, Luca Pappalardo:
Automatic Pass Annotation from Soccer Video Streams Based on Object Detection and LSTM. ECML/PKDD (5) 2020: 475-490 - [c80]Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti, Lucia Vadicamo:
Scalar Quantization-Based Text Encoding for Large Scale Image Retrieval. SEBD 2020: 258-265 - [c79]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: 278-285 - [c78]Fabio Valerio Massoli, Fabrizio Falchi, Giuseppe Amato:
kNN-guided Adversarial Attacks. SEBD 2020: 302-309 - [c77]Fabio Valerio Massoli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Cross-Resolution Deep Features Based Image Search. SISAP 2020: 352-360 - [c76]Fabio Carrara, Claudio Gennaro, Fabrizio Falchi, Giuseppe Amato:
Learning Distance Estimators from Pivoted Embeddings of Metric Objects. SISAP 2020: 361-368 - [c75]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fabio Valerio Massoli, Claudio Vairo:
Multi-Resolution Face Recognition with Drones. SSIP 2020: 13-18 - [i24]Luca Ciampi, Nicola Messina, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Virtual to Real adaptation of Pedestrian Detectors for Smart Cities. CoRR abs/2001.03032 (2020) - [i23]Nicola Messina, Fabrizio Falchi, Andrea Esuli, Giuseppe Amato:
Transformer Reasoning Network for Image-Text Matching and Retrieval. CoRR abs/2004.09144 (2020) - [i22]Danilo Sorano, Fabio Carrara, Paolo Cintia, Fabrizio Falchi, Luca Pappalardo:
Automatic Pass Annotation from Soccer VideoStreams Based on Object Detection and LSTM. CoRR abs/2007.06475 (2020) - [i21]Tiziano Fagni, Fabrizio Falchi, Margherita Gambini, Antonio Martella, Maurizio Tesconi:
TweepFake: about Detecting Deepfake Tweets. CoRR abs/2008.00036 (2020) - [i20]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 abs/2008.02749 (2020) - [i19]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 abs/2008.05231 (2020) - [i18]Fabio Carrara, Giuseppe Amato, Luca Brombin, Fabrizio Falchi, Claudio Gennaro:
Combining GANs and AutoEncoders for Efficient Anomaly Detection. CoRR abs/2011.08102 (2020) - [i17]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 abs/2012.10355 (2020) - [i16]Fabio Valerio Massoli, Fabrizio Falchi, Alperen Kantarci, Seymanur Akti, Hazim Kemal Ekenel, Giuseppe Amato:
MOCCA: Multi-Layer One-Class Classification for Anomaly Detection. CoRR abs/2012.12111 (2020) - [i15]Gabriele Lagani, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Training Convolutional Neural Networks With Hebbian Principal Component Analysis. CoRR abs/2012.12229 (2020)
2010 – 2019
- 2019
- [j17]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): 59-77 (2019) - [j16]Fabio Carrara, Fabrizio Falchi, Roberto Caldelli, Giuseppe Amato, Rudy Becarelli:
Adversarial image detection in deep neural networks. Multim. Tools Appl. 78(3): 2815-2835 (2019) - [c74]Marco Di Benedetto, Enrico Meloni, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Learning Safety Equipment Detection using Virtual Worlds. CBMI 2019: 1-6 - [c73]Nicola Messina, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro:
Testing Deep Neural Networks on the Same-Different Task. CBMI 2019: 1-6 - [c72]