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Antonio Greco
Antonio Greco
Tenure Track Assistant Professor, University of Salerno, DIEM
Email verificata su unisa.it - Home page
Titolo
Citata da
Citata da
Anno
Counting people by RGB or depth overhead cameras
L Del Pizzo, P Foggia, A Greco, G Percannella, M Vento
Pattern Recognition Letters 81, 41-50, 2016
862016
Improving fire detection reliability by a combination of videoanalytics
R Di Lascio, A Greco, A Saggese, M Vento
Image Analysis and Recognition: 11th International Conference, ICIAR 2014 …, 2014
862014
Age from faces in the deep learning revolution
V Carletti, A Greco, G Percannella, M Vento
IEEE transactions on pattern analysis and machine intelligence 42 (9), 2113-2132, 2019
742019
An intelligent flying system for automatic detection of faults in photovoltaic plants
V Carletti, A Greco, A Saggese, M Vento
Journal of Ambient Intelligence and Humanized Computing 11 (5), 2027-2040, 2020
652020
Fusion of domain-specific and trainable features for gender recognition from face images
G Azzopardi, A Greco, A Saggese, M Vento
IEEE access 6, 24171-24183, 2018
522018
AReN: a deep learning approach for sound event recognition using a brain inspired representation
A Greco, N Petkov, A Saggese, M Vento
IEEE transactions on information forensics and security 15, 3610-3624, 2020
472020
A convolutional neural network for gender recognition optimizing the accuracy/speed tradeoff
A Greco, A Saggese, M Vento, V Vigilante
IEEE Access 8, 130771-130781, 2020
462020
Gender recognition from face images with trainable COSFIRE filters
G Azzopardi, A Greco, M Vento
2016 13th IEEE international conference on advanced video and signal based …, 2016
432016
Benchmarking deep network architectures for ethnicity recognition using a new large face dataset
A Greco, G Percannella, M Vento, V Vigilante
Machine Vision and Applications 31, 1-13, 2020
402020
A versatile and effective method for counting people on either RGB or depth overhead cameras
L Del Pizzo, P Foggia, A Greco, G Percannella, M Vento
2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2015
402015
A deep learning based approach for detecting panels in photovoltaic plants
A Greco, C Pironti, A Saggese, M Vento, V Vigilante
Proceedings of the 3rd International Conference on Applications of …, 2020
382020
Gender recognition from face images using a fusion of svm classifiers
G Azzopardi, A Greco, M Vento
Image Analysis and Recognition: 13th International Conference, ICIAR 2016 …, 2016
372016
Real time fault detection in photovoltaic cells by cameras on drones
A Arenella, A Greco, A Saggese, M Vento
Image Analysis and Recognition: 14th International Conference, ICIAR 2017 …, 2017
362017
Effective training of convolutional neural networks for age estimation based on knowledge distillation
A Greco, A Saggese, M Vento, V Vigilante
Neural Computing and Applications, 1-16, 2022
322022
Attention-based hierarchical recurrent neural networks for MOOC forum posts analysis
N Capuano, S Caballé, J Conesa, A Greco
Journal of Ambient Intelligence and Humanized Computing 12, 9977-9989, 2021
312021
Digital signage by real-time gender recognition from face images
A Greco, A Saggese, M Vento
2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 309-313, 2020
242020
Multi-task learning on the edge for effective gender, age, ethnicity and emotion recognition
P Foggia, A Greco, A Saggese, M Vento
Engineering Applications of Artificial Intelligence 118, 105651, 2023
232023
An effective real time gender recognition system for smart cameras
V Carletti, A Greco, A Saggese, M Vento
Journal of Ambient Intelligence and Humanized Computing 11 (6), 2407-2419, 2020
232020
VF3-Light: A lightweight subgraph isomorphism algorithm and its experimental evaluation
V Carletti, P Foggia, A Greco, M Vento, V Vigilante
Pattern Recognition Letters 125, 591-596, 2019
232019
A system for gender recognition on mobile robots
P Foggia, A Greco, G Percannella, M Vento, V Vigilante
Proceedings of the 2nd international conference on applications of …, 2019
232019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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