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2020 – today
- 2024
- [j47]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Hannes Fassold, Giuseppe Amato:
Scalable bio-inspired training of Deep Neural Networks with FastHebb. Neurocomputing 595: 127867 (2024) - [j46]Edoardo Fazzari, Fabio Carrara, Fabrizio Falchi, Cesare Stefanini, Donato Romano:
Using AI to decode the behavioral responses of an insect to chemical stimuli: towards machine-animal computational technologies. Int. J. Mach. Learn. Cybern. 15(5): 1985-1994 (2024) - [j45]Nicola Messina, Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi:
Cascaded transformer-based networks for wikipedia large-scale image-caption matching. Multim. Tools Appl. 83(23): 62915-62935 (2024) - [j44]Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Detecting images generated by diffusers. PeerJ Comput. Sci. 10: e2127 (2024) - [j43]Luca Ciampi, Carlos Santiago, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
In the Wild Video Violence Detection: An Unsupervised Domain Adaptation Approach. SN Comput. Sci. 5(7): 834 (2024) - [j42]Davide Alessandro Coccomini, Giorgos Kordopatis-Zilos, Giuseppe Amato, Roberto Caldelli, Fabrizio Falchi, Symeon Papadopoulos, Claudio Gennaro:
MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection. IEEE Trans. Inf. Forensics Secur. 19: 6084-6096 (2024) - [c125]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. CVPR 2024: 22520-22529 - [c124]Davide Alessandro Coccomini, Roberto Caldelli, Claudio Gennaro, Giuseppe Fiameni, Giuseppe Amato, Fabrizio Falchi:
Robustness and Generalization of Synthetic Images Detectors. Ital-IA 2024: 165-169 - [c123]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
Will VISIONE Remain Competitive in Lifelog Image Search? LSC@ICMR 2024: 58-63 - [c122]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE 5.0: Enhanced User Interface and AI Models for VBS2024. MMM (4) 2024: 332-339 - [i56]Davide Alessandro Coccomini, Roberto Caldelli, Claudio Gennaro, Giuseppe Fiameni, Giuseppe Amato, Fabrizio Falchi:
Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection. CoRR abs/2403.13479 (2024) - [i55]Lorenzo Bianchi, Fabio Carrara, Nicola Messina, Fabrizio Falchi:
Is CLIP the main roadblock for fine-grained open-world perception? CoRR abs/2404.03539 (2024) - [i54]Edoardo Fazzari, Donato Romano, Fabrizio Falchi, Cesare Stefanini:
Animal Behavior Analysis Methods Using Deep Learning: A Survey. CoRR abs/2405.14002 (2024) - [i53]Nicola Messina, Jan Sedmidubský, Fabrizio Falchi, Tomás Rebok:
Joint-Dataset Learning and Cross-Consistent Regularization for Text-to-Motion Retrieval. CoRR abs/2407.02104 (2024) - [i52]Davide Alessandro Coccomini, Roberto Caldelli, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Adversarial Magnification to Deceive Deepfake Detection through Super Resolution. CoRR abs/2407.02670 (2024) - [i51]Luca Ciampi, Nicola Messina, Matteo Pierucci, Giuseppe Amato, Marco Avvenuti, Fabrizio Falchi:
Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting. CoRR abs/2409.15953 (2024) - [i50]Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection. CoRR abs/2410.04205 (2024) - 2023
- [j41]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) - [j40]Luca Ciampi, Valeria Zeni, Luca Incrocci, Angelo Canale, Giovanni Benelli, Fabrizio Falchi, Giuseppe Amato, Stefano Chessa:
A deep learning-based pipeline for whitefly pest abundance estimation on chromotropic sticky traps. Ecol. Informatics 78: 102384 (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) - [c121]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE for newbies: an easier-to-use video retrieval system. CBMI 2023: 158-162 - [c120]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 - [c119]Michele De Bonis, Filippo Minutella, Fabrizio Falchi, Paolo Manghi:
A Graph Neural Network Approach for Evaluating Correctness of Groups of Duplicates. TPDL 2023: 207-219 - [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] - [d8]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from V3C1+V3C2 Dataset. Zenodo, 2023 - [d7]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from MVK Dataset. Zenodo, 2023 - [d6]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
VISIONE Feature Repository for VBS: Multi-Modal Features and Detected Objects from VBSLHE Dataset. Zenodo, 2023 - [d5]Luca Ciampi, Valeria Zeni, Luca Incrocci, Angelo Canale, Giovanni Benelli, Fabrizio Falchi, Giuseppe Amato, Stefano Chessa:
Pest Sticky Traps: a dataset for Whitefly Pest Population Density Estimation in Chromotropic Sticky Traps. Zenodo, 2023 - [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] - [d4]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, Claudio Vairo:
COCO, LVIS, Open Images V4 classes mapping. Zenodo, 2022 - [d3]Donato Cafarelli, Luca Ciampi, Lucia Vadicamo, Claudio Gennaro, Andrea Berton, Marco Paterni, Chiara Benvenuti, Mirko Passera, Fabrizio Falchi:
MOBDrone: a large-scale drone-view dataset for man overboard detection. Zenodo, 2022 - [d2]Fabio Carrara, Lorenzo Pasco, Claudio Gennaro, Fabrizio Falchi:
VWFP: Virtual World Fallen People Dataset for Visual Fallen People Detection. Zenodo, 2022 - [d1]Pawel Foszner, Michal Staniszewski, Agnieszka Szczesna, Michal Cogiel, Dominik Golba, Luca Ciampi, Nicola Messina, Claudio Gennaro, Fabrizio Falchi, Giuseppe Amato, Gianluca Serao:
Bus Violence: a large-scale benchmark for video violence detection in public transport. Zenodo, 2022 - [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]Fabio Valerio Massoli, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Claudio Vairo:
Improving Multi-scale Face Recognition Using VGGFace2. ICIAP Workshops 2019: 21-29 - [c71]Giuseppe Amato, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Nicola Messina:
Learning Pedestrian Detection from Virtual Worlds. ICIAP (1) 2019: 302-312 - [c70]Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Gabriele Lagani:
Hebbian Learning Meets Deep Convolutional Neural Networks. ICIAP (1) 2019: 324-334 - [c69]Fabio Carrara, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Evaluation of Continuous Image Features Learned by ODE Nets. ICIAP (1) 2019: 432-442 - [c68]Roberto Caldelli, Rudy Becarelli, Fabio Carrara, Fabrizio Falchi, Giuseppe Amato:
Exploiting CNN Layer Activations to Improve Adversarial Image Classification. ICIP 2019: 2289-2293 - [c67]Giuseppe Amato, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro:
Counting Vehicles with Deep Learning in Onboard UAV Imagery. ISCC 2019: 1-6 - [c66]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: 1-6 - [c65]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo, Claudio Vairo:
VISIONE at VBS2019. MMM (2) 2019: 591-596 - [c64]Fabio Valerio Massoli, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Claudio Vairo:
CNN-based System for Low Resolution Face Recognition. SEBD 2019 - [c63]Lucia Vadicamo, Richard Connor, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
SPLX-Perm: A Novel Permutation-Based Representation for Approximate Metric Search. SISAP 2019: 40-48 - [c62]Lucia Vadicamo, Vladimir Mic, Fabrizio Falchi, Pavel Zezula:
Metric Embedding into the Hamming Space with the n-Simplex Projection. SISAP 2019: 265-272 - [c61]Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo, Claudio Vairo:
An Image Retrieval System for Video. SISAP 2019: 332-339 - [c60]Fabio Carrara, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato:
On the Robustness to Adversarial Examples of Neural ODE Image Classifiers. WIFS 2019: 1-6 - [i14]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 abs/1905.04175 (2019) - [i13]Fabio Valerio Massoli, Giuseppe Amato, Fabrizio Falchi:
Cross-Resolution Learning for Face Recognition. CoRR abs/1912.02851 (2019) - [i12]Fabio Valerio Massoli, Fabio Carrara, Giuseppe Amato, Fabrizio Falchi:
Detection of Face Recognition Adversarial Attacks. CoRR abs/1912.02918 (2019) - [i11]Fabio Carrara, Fabrizio Falchi, Giuseppe Amato, Rudy Becarelli, Roberto Caldelli:
Detecting Adversarial Inputs by Looking in the Black Box. ERCIM News 2019(116) (2019) - [i10]Fabrizio Falchi:
About Deep Learning, Intuition and Thinking. ERCIM News 2019(116) (2019) - 2018
- [j15]Fabio Carrara, Andrea Esuli, Tiziano Fagni, Fabrizio Falchi, Alejandro Moreo Fernández:
Picture it in your mind: generating high level visual representations from textual descriptions. Inf. Retr. J. 21(2-3): 208-229 (2018) - [j14]Giuseppe Amato, Fabrizio Falchi, Lucia Vadicamo:
Aggregating binary local descriptors for image retrieval. Multim. Tools Appl. 77(5): 5385-5415 (2018) - [c59]Fabio Carrara, Rudy Becarelli, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato:
Adversarial Examples Detection in Features Distance Spaces. ECCV Workshops (2) 2018: 313-327 - [c58]Nicola Messina, Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro:
Learning Relationship-Aware Visual Features. ECCV Workshops (4) 2018: 486-501 - [c57]Michele De Bonis, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Paolo Manghi:
Deep Learning Techniques for Visual Food Recognition on a Mobile App. MISSI 2018: 303-312 - [c56]Luca Ciampi, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
Counting Vehicles with Cameras. SEBD 2018 - [c55]Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro:
Large-Scale Image Retrieval with Elasticsearch. SIGIR 2018: 925-928 - [c54]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: 3-17 - [c53]Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Claudio Vairo:
Facial-based Intrusion Detection System with Deep Learning in Embedded Devices. SSIP 2018: 64-68 - [p1]Giuseppe Amato, Leonardo Candela, Donatella Castelli, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Fosca Giannotti, Anna Monreale, Mirco Nanni, Pasquale Pagano, Luca Pappalardo, Dino Pedreschi, Francesca Pratesi, Fausto Rabitti, Salvatore Rinzivillo, Giulio Rossetti, Salvatore Ruggieri, Fabrizio Sebastiani, Maurizio Tesconi:
How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science. A Comprehensive Guide Through the Italian Database Research 2018: 287-306 - 2017
- [j13]Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Carlo Meghini, Claudio Vairo:
Deep learning for decentralized parking lot occupancy detection. Expert Syst. Appl. 72: 327-334 (2017) - [j12]Giuseppe Amato, Richard Connor, Fabrizio Falchi, Claudio Gennaro:
Preface. Inf. Syst. 64: 151 (2017) - [c52]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
Searching and annotating 100M Images with YFCC100M-HNfc6 and MI-File. CBMI 2017: 26:1-26:4 - [c51]Fabio Carrara, Fabrizio Falchi, Roberto Caldelli, Giuseppe Amato, Roberta Fumarola, Rudy Becarelli:
Detecting adversarial example attacks to deep neural networks. CBMI 2017: 38:1-38:7 - [c50]Giuseppe Amato, Paolo Barsocchi, Fabrizio Falchi, Erina Ferro, Claudio Gennaro, Giuseppe Riccardo Leone, Davide Moroni, Ovidio Salvetti, Claudio Vairo:
Towards Multimodal Surveillance for Smart Building Security. IWCIM@EUSIPCO 2017: 95 - [c49]Lucia Vadicamo, Fabio Carrara, Andrea Cimino, Stefano Cresci, Felice Dell'Orletta, Fabrizio Falchi, Maurizio Tesconi:
Cross-Media Learning for Image Sentiment Analysis in the Wild. ICCV Workshops 2017: 308-317 - [c48]Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro:
Efficient Indexing of Regional Maximum Activations of Convolutions using Full-Text Search Engines. ICMR 2017: 420-423 - [i9]Fabio Carrara, Andrea Esuli, Fabrizio Falchi, Alejandro Moreo Fernández:
Exploring epoch-dependent stochastic residual networks. CoRR abs/1704.06178 (2017) - 2016
- [j11]Giuseppe Amato, Fabrizio Falchi, Lucia Vadicamo:
Visual Recognition of Ancient Inscriptions Using Convolutional Neural Network and Fisher Vector. ACM Journal on Computing and Cultural Heritage 9(4): 21:1-21:24 (2016) - [c47]Giuseppe Amato, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
Large Scale Indexing and Searching Deep Convolutional Neural Network Features. DaWaK 2016: 213-224 - [c46]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
Indexing 100M Images with Deep Features and MI-File. IIR 2016 - [c45]Giuseppe Amato, Fabrizio Falchi, Fausto Rabitti, Lucia Vadicamo:
Combining Fisher Vector and Convolutional Neural Networks for Image Retrieval. IIR 2016 - [c44]Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Claudio Vairo:
Car parking occupancy detection using smart camera networks and Deep Learning. ISCC 2016: 1212-1217 - [c43]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
YFCC100M HybridNet fc6 Deep Features for Content-Based Image Retrieval. MMCommons @ ACM Multimedia 2016: 11-18 - [c42]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo:
Deep Permutations: Deep Convolutional Neural Networks and Permutation-Based Indexing. SISAP 2016: 93-106 - [c41]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
YFCC100M-HNfc6: A Large-Scale Deep Features Benchmark for Similarity Search. SISAP 2016: 196-209 - [c40]Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo:
Using Apache Lucene to Search Vector of Locally Aggregated Descriptors. VISIGRAPP (4: VISAPP) 2016: 383-392 - [c39]Giuseppe Amato, Fabrizio Falchi, Lucia Vadicamo:
How Effective Are Aggregation Methods on Binary Features?. VISIGRAPP (4: VISAPP) 2016: 566-573 - [i8]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
On Reducing the Number of Visual Words in the Bag-of-Features Representation. CoRR abs/1604.04142 (2016) - [i7]Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo:
Using Apache Lucene to Search Vector of Locally Aggregated Descriptors. CoRR abs/1604.05576 (2016) - [i6]Fabio Carrara, Andrea Esuli, Tiziano Fagni, Fabrizio Falchi, Alejandro Moreo Fernández:
Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions. CoRR abs/1606.07287 (2016) - [i5]Giuseppe Amato, Fabrizio Falchi, Lucia Vadicamo:
Aggregating Binary Local Descriptors for Image Retrieval. CoRR abs/1608.00813 (2016) - 2015
- [j10]Giuseppe Amato, Andrea Esuli, Fabrizio Falchi:
A comparison of pivot selection techniques for permutation-based indexing. Inf. Syst. 52: 176-188 (2015) - [j9]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Fast Image Classification for Monument Recognition. ACM Journal on Computing and Cultural Heritage 8(4): 18:1-18:25 (2015) - [c38]Fabio Carrara, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Efficient foreground-background segmentation using local features for object detection. ICDSC 2015: 175-180 - [c37]Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Fausto Rabitti, Lucia Vadicamo:
Visual Recognition in the EAGLE Project. IIR 2015 - [c36]Fabio Carrara, Fabrizio Falchi, Claudio Gennaro:
Semiautomatic Learning of 3D Objects from Video Streams. SISAP 2015: 217-228 - [c35]Paolo Bolettieri, Vittore Casarosa, Fabrizio Falchi, Lucia Vadicamo, Philippe Martineau, Silvia Orlandi, Raffaella Santucci:
Searching the EAGLE Epigraphic Material Through Image Recognition via a Mobile Device. SISAP 2015: 351-354 - [e1]Giuseppe Amato, Richard Connor, Fabrizio Falchi, Claudio Gennaro:
Similarity Search and Applications - 8th International Conference, SISAP 2015, Glasgow, UK, October 12-14, 2015, Proceedings. Lecture Notes in Computer Science 9371, Springer 2015, ISBN 978-3-319-25086-1 [contents] - 2014
- [c34]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Paolo Bolettieri:
Indexing Vectors of Locally Aggregated Descriptors Using Inverted Files. ICMR 2014: 439 - [c33]Giuseppe Amato, Fabrizio Falchi, Fausto Rabitti, Lucia Vadicamo:
Some Theoretical and Experimental Observations on Permutation Spaces and Similarity Search. SISAP 2014: 37-49 - 2013
- [c32]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Visual Features Selection. IIR 2013: 41-44 - [c31]Franco Alberto Cardillo, Giuseppe Amato, Fabrizio Falchi:
Experimenting a Visual Attention Model in the Context of CBIR Systems. IIR 2013: 45-56 - [c30]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
On Reducing the number of Visual Words. SEBD 2013: 313-320 - [c29]Giuseppe Amato, Andrea Esuli, Fabrizio Falchi:
Pivot Selection Strategies for Permutation-Based Similarity Search. SISAP 2013: 91-102 - [c28]Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Claudio Gennaro:
Large Scale Image Retrieval Using Vector of Locally Aggregated Descriptors. SISAP 2013: 245-256 - [c27]Franco Alberto Cardillo, Giuseppe Amato, Fabrizio Falchi:
Using Visual Attention in a CBIR System - Experimental Results on Landmark and Object Recognition Tasks. VISAPP (1) 2013: 468-471 - [c26]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
On Reducing the Number of Visual Words in the Bag-of-Features Representation. VISAPP (1) 2013: 657-662 - [i4]Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Claudio Gennaro:
Large Scale Image Retrieval Using Vectors of Locally Aggregated Descriptors. ERCIM News 2013(95) (2013) - 2012
- [j8]Fabrizio Falchi, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fausto Rabitti:
Similarity caching in large-scale image retrieval. Inf. Process. Manag. 48(5): 803-818 (2012) - 2011
- [c25]Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
Combining local and global visual feature similarity using a text search engine. CBMI 2011: 49-54 - [c24]Giuseppe Amato, Fabrizio Falchi:
Local Feature based Image Similarity Functions for kNN Classification. ICAART (1) 2011: 157-166 - [c23]Giuseppe Amato, Fabrizio Falchi:
On kNN Classification and Local Feature Based Similarity Functions. ICAART (Revised Selected Papers) 2011: 224-239 - [c22]Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi:
Landmark recognition in VISITO: VIsual Support to Interactive TOurism in Tuscany. ICMR 2011: 61 - [c21]Giuseppe Amato, Fabrizio Falchi, Fausto Rabitti:
Landmark Recognition in VISITO Tuscany. MM4CH 2011: 1-13 - [c20]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Geometric consistency checks for kNN based image classification relying on local features. SISAP 2011: 81-88 - [i3]Giuseppe Amato, Fabrizio Falchi, Paolo Bolettieri:
VISITO Tuscany: Landmark Recognition for Cultural Heritage. ERCIM News 2011(86) (2011) - 2010
- [j7]Michal Batko, Fabrizio Falchi, Claudio Lucchese, David Novak, Raffaele Perego, Fausto Rabitti, Jan Sedmidubský, Pavel Zezula:
Building a web-scale image similarity search system. Multim. Tools Appl. 47(3): 599-629 (2010) - [c19]Giuseppe Amato, Fabrizio Falchi:
kNN based image classification relying on local feature similarity. SISAP 2010: 101-108
2000 – 2009
- 2009
- [j6]Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti, Pavel Zezula:
Distance browsing in distributed multimedia databases. Future Gener. Comput. Syst. 25(1): 64-76 (2009) - [c18]Fabrizio Falchi, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fausto Rabitti:
Caching content-based queries for robust and efficient image retrieval. EDBT 2009: 780-790 - [c17]Paolo Bolettieri, Fabrizio Falchi, Claudio Lucchese, Yosi Mass, Raffaele Perego, Fausto Rabitti, Michal Shmueli-Scheuer:
Searching 100M Images by Content Similarity. IRCDL 2009: 88-99 - [c16]Fabrizio Falchi, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fausto Rabitti:
Caching Algorithms for Similarity Search. SEBD 2009: 145-152 - [i2]Paolo Bolettieri, Andrea Esuli, Fabrizio Falchi, Claudio Lucchese, Raffaele Perego, Tommaso Piccioli, Fausto Rabitti:
CoPhIR: a Test Collection for Content-Based Image Retrieval. CoRR abs/0905.4627 (2009) - [i1]Fabrizio Falchi, Tiziano Fagni, Fabrizio Sebastiani:
Adaptive Committees of Feature-Specific Classifiers for Image Classification. ERCIM News 2009(78) (2009) - 2008
- [j5]Michal Batko, David Novak, Fabrizio Falchi, Pavel Zezula:
Scalability comparison of Peer-to-Peer similarity search structures. Future Gener. Comput. Syst. 24(8): 834-848 (2008) - [j4]Fabrizio Falchi, Claudio Gennaro, Pasquale Savino, Peter Stanchev:
Efficient Video-Stream Filtering. IEEE Multim. 15(1): 52-62 (2008) - [j3]Fabrizio Falchi, Claudio Gennaro, Pavel Zezula:
Erratum to "Nearest neighbor search in metric spaces through Content-Addressable Networks" [Information Processing and Management 43 (2007) 665-683]. Inf. Process. Manag. 44(1): 410 (2008) - [j2]Fabrizio Falchi, Claudio Gennaro, Pavel Zezula:
Nearest neighbor search in metric spaces through Content-Addressable Networks. Inf. Process. Manag. 44(1): 411-429 (2008) - [c15]Fabrizio Falchi, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fausto Rabitti:
A metric cache for similarity search. LSDS-IR 2008: 43-50 - [c14]Walter Allasia, Fabrizio Falchi, Francesco Gallo, Mouna Kacimi, Aaron Kaplan, Jonathan Mamou, Yosi Mass, Nicola Orio:
Audio-Visual Content Analysis in P2P Networks: The SAPIR Approach. DEXA Workshops 2008: 610-614 - [c13]Giuseppe Amato, Paolo Bolettieri, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
Using MPEG-7 for Automatic Annotation of Audiovisual Content in eLearning Digital Libraries. IRCDL 2008: 1-12 - [c12]Fabrizio Falchi, Claudio Lucchese:
Special track on Engineering Large-Scale Distributed Systems: editorial message. SAC 2008: 453-454 - [c11]Michal Batko, Fabrizio Falchi, Claudio Lucchese, David Novak, Raffaele Perego, Fausto Rabitti, Jan Sedmidubský, Pavel Zezula:
Crawling, Indexing, and Similarity Searching Images on the Web. SEBD 2008: 382-389 - 2007
- [b1]Fabrizio Falchi:
A Content-Addressable Network for Similarity Search in Metric Spaces. University of Pisa, Italy, 2007 - [j1]Fabrizio Falchi, Claudio Gennaro, Pavel Zezula:
Nearest neighbor search in metric spaces through Content-Addressable Networks. Inf. Process. Manag. 43(3): 665-683 (2007) - [c10]Paolo Bolettieri, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
A Digital Library Framework for Reusing e-Learning Video Documents. EC-TEL 2007: 444-449 - [c9]Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti, Pavel Zezula:
A distributed incremental nearest neighbor algorithm. Infoscale 2007: 82 - [c8]Fabrizio Falchi, Fausto Rabitti, Werner Schweibenz, Jan Simane:
Florentine Coats of Arms on the Web: Experimenting with Retrieval Based on Text or Image Content. ISI 2007: 1-13 - [c7]Paolo Bolettieri, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
Automatic metadata extraction and indexing for reusing e-learning multimedia objects. MS 2007: 21-28 - [c6]Walter Allasia, Fabrizio Falchi, Francesco Gallo, Nicola Orio:
A digital rights aware similarity measure for multimedia documents. MS 2007: 73-80 - [c5]Fabrizio Falchi, Mouna Kacimi, Yosi Mass, Fausto Rabitti, Pavel Zezula:
SAPIR: Scalable and Distributed Image Searching. SAMT (Posters and Demos) 2007 - 2006
- [c4]Giuseppe Amato, Paolo Bolettieri, Franca Debole, Fabrizio Falchi, Fausto Rabitti, Pasquale Savino:
Using MILOS to Build a Multimedia Digital Library Application: The PhotoBook Experience. ECDL 2006: 379-390 - [c3]Michal Batko, David Novak, Fabrizio Falchi, Pavel Zezula:
On scalability of the similarity search in the world of peers. Infoscale 2006: 20 - [c2]Giuseppe Amato, Paolo Bolettieri, Franca Debole, Fabrizio Falchi, Fausto Rabitti, Pasquale Savino:
Using MILOS to build an on-line photo album: the PhotoBook. SEBD 2006: 233-240 - 2005
- [c1]Fabrizio Falchi, Claudio Gennaro, Pavel Zezula:
A Content-Addressable Network for Similarity Search in Metric Spaces. DBISP2P 2005: 98-110
Coauthor Index
aka: Davide Alessandro Coccomini
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last updated on 2024-11-22 20:38 CET by the dblp team
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