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2020 – today
- 2024
[j45]Gabriele Lagani
, Fabrizio Falchi, Claudio Gennaro, Hannes Fassold, Giuseppe Amato:
Scalable bio-inspired training of Deep Neural Networks with FastHebb. Neurocomputing 595: 127867 (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) - [c129]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 - [c128]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 - [c127]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 - [c126]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 - [c125]Mbasa Joaquim Molo, Lucia Vadicamo, Emanuele Carlini, Claudio Gennaro, Richard Connor:
Information Dissimilarity Measures in Decentralized Knowledge Distillation: A Comparative Analysis. SISAP 2024: 140-154 - [c124]Mbasa Joaquim Molo, Emanuele Carlini, Luca Ciampi, Claudio Gennaro, Lucia Vadicamo:
Teacher-Student Models for AI Vision at the Edge: A Car Parking Case Study. VISIGRAPP (4): VISAPP 2024: 508-515 - [d13]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, 2024
- [d12]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, 2024 - [i36]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) - [i35]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) - [i34]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]Lucia Vadicamo, Giuseppe Amato, Claudio Gennaro:
Induced permutations for approximate metric search. Inf. Syst. 119: 102286 (2023) - [j40]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) - [j39]Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Giuseppe Amato, Claudio Gennaro:
Learning-Based Traffic Scheduling in Non-Stationary Multipath 5G Non-Terrestrial Networks. Remote. Sens. 15(7): 1842 (2023) - [c123]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 - [c122]Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Claudio Gennaro, Giuseppe Amato:
Traffic Scheduling in Non-Stationary Multipath Non-Terrestrial Networks: A Reinforcement Learning Approach. ICC 2023: 4094-4099 - [c121]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 - [c120]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 - [c119]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 - [c118]Claudio Vairo, Marco Callieri, Fabio Carrara, Paolo Cignoni, Marco Di Benedetto, Claudio Gennaro, Daniela Giorgi, Gianpaolo Palma, Lucia Vadicamo, Giuseppe Amato:
Social and hUman ceNtered XR. Ital-IA 2023: 48-53 - [c117]Fabio Carrara, Luca Ciampi, Marco Di Benedetto, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
AIMH Lab 2022 Activities for Healthcare. Ital-IA 2023: 128-133 - [c116]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 - [c115]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 - [c114]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
AIMH Lab for a Susteinable Bio-Inspired AI. Ital-IA 2023: 575-584 - [c113]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 - [c112]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 - [c111]Davide Alessandro Coccomini, Roberto Caldelli, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Adversarial Magnification to Deceive Deepfake Detection Through Super Resolution. PKDD/ECML Workshops (2) 2023: 491-501 - [c110]Fabio Carrara, Claudio Gennaro, Lucia Vadicamo, Giuseppe Amato:
Vec2Doc: Transforming Dense Vectors into Sparse Representations for Efficient Information Retrieval. SISAP 2023: 215-222 - [d11]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 - [d10]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 - [d9]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 - [d8]Leonardo Lupori, Valentino Totaro, Sara Cornuti, Luca Ciampi, Fabio Carrara, Edda Grilli, Aurelia Viglione, Francesca Tozzi, Elena Putignano, Raffaele Mazziotti, Giuseppe Amato, Claudio Gennaro, Paola Tognini, Tommaso Pizzorusso:
A deep learning-based dataset of WFA-positive perineuronal nets and parvalbumin neurons localizations in the adult mouse brain. Zenodo, 2023 - [i33]Davide Alessandro Coccomini, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Detecting Images Generated by Diffusers. CoRR abs/2303.05275 (2023) - [i32]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey. CoRR abs/2307.16235 (2023) - [i31]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey. CoRR abs/2307.16236 (2023) - [i30]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
- [j38]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) - [j37]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) - [j36]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) - [j35]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) - [j34]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: 102500 (2022) - [j33]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) - [j32]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) - [c109]Fabio Carrara, Lorenzo Pasco, Claudio Gennaro, Fabrizio Falchi:
Learning to Detect Fallen People in Virtual Worlds. CBMI 2022: 126-130 - [c108]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 - [c107]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Recurrent Vision Transformer for Solving Visual Reasoning Problems. ICIAP (3) 2022: 50-61 - [c106]Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi:
Combining EfficientNet and Vision Transformers for Video Deepfake Detection. ICIAP (3) 2022: 219-229 - [c105]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 - [c104]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 - [c103]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 - [c102]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 - [c101]Fabio Carrara, Lucia Vadicamo, Claudio Gennaro, Giuseppe Amato:
Approximate Nearest Neighbor Search on Standard Search Engines. SISAP 2022: 214-221 - [c100]Gabriele Lagani, Claudio Gennaro, Hannes Fassold, Giuseppe Amato:
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level. SISAP 2022: 251-264 - [c99]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 - [c98]Luca Ciampi, Fabio Carrara, Giuseppe Amato, Claudio Gennaro:
Counting or Localizing? Evaluating Cell Counting and Detection in Microscopy Images. VISIGRAPP (4: VISAPP) 2022: 887-897 - [c97]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: 1-5 - [e4]Giuseppe Amato, Valentina Bartalesi, Devis Bianchini, Claudio Gennaro, Riccardo Torlone:
Proceedings of the 30th Italian Symposium on Advanced Database Systems, SEBD 2022, Tirrenia (PI), Italy, June 19-22, 2022. CEUR Workshop Proceedings 3194, CEUR-WS.org 2022 [contents] - [d7]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 - [d6]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 - [d5]Fabio Carrara, Lorenzo Pasco, Claudio Gennaro, Fabrizio Falchi:
VWFP: Virtual World Fallen People Dataset for Visual Fallen People Detection. Zenodo, 2022 - [d4]Luca Ciampi, Carlos Santiago, João Paulo Costeira, Claudio Gennaro, Giuseppe Amato:
Night and Day Instance Segmented Park (NDISPark) Dataset: a Collection of Images taken by Day and by Night for Vehicle Detection, Segmentation and Counting in Parking Areas. Zenodo, 2022 - [d3]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 - [d2]Leonardo Lupori, Valentino Totaro, Sara Cornuti, Luca Ciampi, Fabio Carrara, Edda Grilli, Aurelia Viglione, Francesca Tozzi, Elena Putignano, Raffaele Mazziotti, Giuseppe Amato, Claudio Gennaro, Paola Tognini, Tommaso Pizzorusso:
A brain-wide, annotated dataset of WFA-positive perineuronal nets and parvalbumin neurons in the adult mouse brain. Zenodo, 2022 - [i29]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) - [i28]Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Claudio Gennaro, Giuseppe Amato:
Actor-Critic Scheduling for Path-Aware Air-to-Ground Multipath Multimedia Delivery. CoRR abs/2204.13343 (2022) - [i27]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) - [i26]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) - [i25]Gabriele Lagani, Claudio Gennaro, Hannes Fassold, Giuseppe Amato:
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level. CoRR abs/2207.03172 (2022) - [i24]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) - [i23]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
- [j31]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) - [j30]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) - [j29]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) - [j28]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Hebbian semi-supervised learning in a sample efficiency setting. Neural Networks 143: 719-731 (2021) - [j27]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) - [j26]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) - [c96]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 - [c95]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 - [c94]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches. LOD 2021: 25-40 - [c93]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Evaluating Hebbian Learning in a Semi-supervised Setting. LOD 2021: 365-379 - [c92]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 - [c91]Luca Ciampi, Carlos Santiago, João Paulo Costeira, Claudio Gennaro, Giuseppe Amato:
Traffic Density Estimation via Unsupervised Domain Adaptation (Discussion Paper). SEBD 2021: 442-449 - [c90]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 - [c89]Lucia Vadicamo, Claudio Gennaro, Giuseppe Amato:
On Generalizing Permutation-Based Representations for Approximate Search. SISAP 2021: 66-80 - [c88]Luca Ciampi, Carlos Santiago, João Paulo Costeira, Claudio Gennaro, Giuseppe Amato:
Domain Adaptation for Traffic Density Estimation. VISIGRAPP (5: VISAPP) 2021: 185-195 - [d1]Luca Ciampi, Fabio Carrara, Valentino Totaro, Raffaele Mazziotti, Leonardo Lupori, Carlos Santiago, Giuseppe Amato, Tommaso Pizzorusso, Claudio Gennaro:
A Multi-Rater Benchmark for Perineuronal Nets Detection and Counting in Fluorescence Microscopy Images. Zenodo, 2021 - [i22]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Solving the Same-Different Task with Convolutional Neural Networks. CoRR abs/2101.09129 (2021) - [i21]Donato Cafarelli, Fabio Valerio Massoli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Expression Recognition Analysis in the Wild. CoRR abs/2101.09231 (2021) - [i20]Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Hebbian Semi-Supervised Learning in a Sample Efficiency Setting. CoRR abs/2103.09002 (2021) - [i19]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) - [i18]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) - [i17]Luca Ciampi, Claudio Gennaro, Fabio Carrara, Fabrizio Falchi, Claudio Vairo, Giuseppe Amato:
Multi-Camera Vehicle Counting Using Edge-AI. CoRR abs/2106.02842 (2021) - [i16]Giuseppe Amato, Stefano Chessa, Mauro Dragone, Claudio Gennaro, Claudio Vairo:
A Communication Layer for Integrated Sensors and Robotic ecology Solutions to Ambient Intelligence. CoRR abs/2106.05100 (2021) - [i15]Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi:
Combining EfficientNet and Vision Transformers for Video Deepfake Detection. CoRR abs/2107.02612 (2021) - [i14]Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi:
Generative Adversarial Networks for Astronomical Images Generation. CoRR abs/2111.11578 (2021) - [i13]Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Recurrent Vision Transformer for Solving Visual Reasoning Problems. CoRR abs/2111.14576 (2021) - 2020
- [j25]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) - [j24]Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo:
Large-scale instance-level image retrieval. Inf. Process. Manag. 57(6): 102100 (2020) - [j23]Luca Ciampi, Nicola Messina, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Virtual to Real Adaptation of Pedestrian Detectors. Sensors 20(18): 5250 (2020) - [c87]Luca Ciampi, Carlos Santiago, João Paulo Costeira, Claudio Gennaro, Giuseppe Amato:
Unsupervised vehicle counting via multiple camera domain adaptation. NeHuAI@ECAI 2020: 82-85 - [c86]Fabio Carrara, Giuseppe Amato, Luca Brombin, Fabrizio Falchi, Claudio Gennaro:
Combining GANs and AutoEncoders for efficient anomaly detection. ICPR 2020: 3939-3946 - [c85]Fabio Carrara, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Continuous ODE-defined Image Features for Adaptive Retrieval. ICMR 2020: 198-206 - [c84]Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti, Lucia Vadicamo:
Scalar Quantization-Based Text Encoding