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Davide Mazzini
Davide Mazzini
Deep Learning Researcher at Standard Cognition
Verified email at standard.ai - Homepage
Title
Cited by
Cited by
Year
Deep learning for logo recognition
S Bianco, M Buzzelli, D Mazzini, R Schettini
Neurocomputing 245, 23-30, 2017
1412017
Guided upsampling network for real-time semantic segmentation
D Mazzini
arXiv preprint arXiv:1807.07466, 2018
1212018
Logo recognition using cnn features
S Bianco, M Buzzelli, D Mazzini, R Schettini
Image Analysis and Processing—ICIAP 2015: 18th International Conference …, 2015
572015
Local detectors and compact descriptors for visual search: a quantitative comparison
S Bianco, D Mazzini, DP Pau, R Schettini
Digital Signal Processing 44, 1-13, 2015
482015
Multitask painting categorization by deep multibranch neural network
S Bianco, D Mazzini, P Napoletano, R Schettini
Expert Systems with Applications 135, 90-101, 2019
412019
Benchmarking algorithms for food localization and semantic segmentation
S Aslan, G Ciocca, D Mazzini, R Schettini
International Journal of Machine Learning and Cybernetics 11 (12), 2827-2847, 2020
302020
A novel approach to data augmentation for pavement distress segmentation
D Mazzini, P Napoletano, F Piccoli, R Schettini
Computers in Industry 121, 103225, 2020
272020
Spatial sampling network for fast scene understanding
D Mazzini, R Schettini
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
252019
Deep multibranch neural network for painting categorization
S Bianco, D Mazzini, R Schettini
Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017
222017
Evaluating CNN-based semantic food segmentation across illuminants
G Ciocca, D Mazzini, R Schettini
International Workshop on Computational Color Imaging, 247-259, 2019
172019
A CNN architecture for efficient semantic segmentation of street scenes
D Mazzini, M Buzzelli, DP Pauy, R Schettini
2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE …, 2018
162018
Light3DPose: Real-time Multi-Person 3D Pose Estimation from Multiple Views
A Elmi, D Mazzini, P Tortella
2020 25th International Conference on Pattern Recognition (ICPR), 2755-2762, 2021
72021
A passively regulated full-toroidal continuously variable transmission
M Milazzo, G Moretti, A Burchianti, D Mazzini, CM Oddo, C Stefanini, ...
Meccanica 55, 211-226, 2020
72020
Training efficient semantic segmentation CNNs on multiple datasets
M Leonardi, D Mazzini, R Schettini
Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019
72019
IN-service inspection and on-line monitoring of inaccessible components in nuclear power plants using guided wave technology
F Turcu, M Cappelli, D Mazzini, S Pistelli, M Raugi
International Conference on Nuclear Engineering, Proceedings, ICONE 6 …, 2014
62014
Guided upsampling network for real-time semantic segmentation. arXiv 2018
D Mazzini
arXiv preprint arXiv:1807.07466, 0
6
Guided upsampling network for real-time semantic segmentation. arXiv
D Mazzini
arXiv preprint arXiv:1807.07466, 2018
52018
Quantitative review of local descriptors for visual search
S Bianco, R Schettini, D Mazzini, DP Pau
2013 IEEE Third International Conference on Consumer Electronics¿ Berlin …, 2013
52013
Method for object recognition, corresponding system, apparatus and computer program product
DP Pau, D Mazzini, R Schettini, S Bianco
US Patent 9,910,864, 2018
22018
Dynamic approach to the reliability analysis for the Service Water System of a Candu 6 nuclear power plant
S Pistelli, F Benvenuto, D Mazzini, M Mazzini
Proceedings of the 2011 3rd International Youth Conference on Energetics …, 2011
12011
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Articles 1–20