| Deep learning for logo recognition S Bianco, M Buzzelli, D Mazzini, R Schettini Neurocomputing 245, 23-30, 2017 | 160 | 2017 |
| Guided upsampling network for real-time semantic segmentation D Mazzini arXiv preprint arXiv:1807.07466, 2018 | 138 | 2018 |
| An overview of the pressurized thermal shock issue in the context of the NURESIM project D Lucas, D Bestion, E Bodèle, P Coste, M Scheuerer, F D'Auria, ... Science and Technology of Nuclear Installations 2009, 2009 | 68 | 2009 |
| Logo recognition using cnn features S Bianco, M Buzzelli, D Mazzini, R Schettini Image Analysis and Processing—ICIAP 2015: 18th International Conference …, 2015 | 61 | 2015 |
| 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 | 49 | 2015 |
| Multitask painting categorization by deep multibranch neural network S Bianco, D Mazzini, P Napoletano, R Schettini Expert Systems with Applications 135, 90-101, 2019 | 47 | 2019 |
| 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 | 37 | 2020 |
| A novel approach to data augmentation for pavement distress segmentation D Mazzini, P Napoletano, F Piccoli, R Schettini Computers in Industry 121, 103225, 2020 | 37 | 2020 |
| Spatial sampling network for fast scene understanding D Mazzini, R Schettini Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 28 | 2019 |
| Deep multibranch neural network for painting categorization S Bianco, D Mazzini, R Schettini Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017 | 26 | 2017 |
| On the simulation of two-phase flow pressurized thermal shock (PTS) D Lucas, D Bestion, E Bodèle, M Scheuerer, F D’Auria, D Mazzini, ... 12th International Topical Meeting on Nuclear Reactor Thermal Hydraulics …, 2007 | 24 | 2007 |
| Review of the Existing Data Basis for the Validation of Models for CHF D Bestion, D Caraghiaur, H Anglart, P Peturaud, E Krepper, HM Prasser, ... NURESIM SP2 Deliverable, 2006 | 22 | 2006 |
| CFD code validation against stratified air‐water flow experimental data F Terzuoli, MC Galassi, D Mazzini, F D′ Auria Science and Technology of Nuclear Installations 2008 (1), 434212, 2008 | 20 | 2008 |
| 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 | 19 | 2018 |
| Main results of the European project NURESIM on the CFD-modelling of two-phase Pressurized Thermal Shock (PTS) D Lucas, D Bestion, P Coste, J Pouvreau, C Morel, A Martin, M Boucker, ... Kerntechnik 74 (5-6), 238-242, 2009 | 19 | 2009 |
| Computational study of evaporative film cooling in a vertical rectangular channel W Ambrosini, N Forgione, D Mazzini, F Oriolo Heat transfer engineering 23 (5), 25-35, 2002 | 19 | 2002 |
| Evaluating CNN-based semantic food segmentation across illuminants G Ciocca, D Mazzini, R Schettini International workshop on computational color imaging, 247-259, 2019 | 18 | 2019 |
| Training efficient semantic segmentation CNNs on multiple datasets M Leonardi, D Mazzini, R Schettini Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019 | 9 | 2019 |
| 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 | 8 | 2021 |
| The multiple pressure tube rupture (MPTR) issue in RBMK safety technology F D’Auria, B Gabaraev, O Novoselsky, V Radkevich, VN Filinov, D Mazzini, ... Nuclear engineering and design 238 (4), 1026-1061, 2008 | 8 | 2008 |
