Davide MazziniPast member

DISCo (Department of Informatics, Systems and Communication)
University of Milan-Bicocca
Viale Sarca 336, Building U14

Room 1038,  tel: +390264487893

Biography

Davide Mazzini obtained the BSc and the MSc degree in Computer Science from the University of Milano-Bicocca, Italy, respectively in 2010 and 2013. In 2013 he did an internship at STMicroelectronics (Agrate Brianza) and worked as a freelance consultant at VisioSafe (EPFL Spin-off) in Lausanne. He is currently a Postdoctoral fellow working on computer vision. The main topics of his current research concern objects and scene recognition and machine learning.

Publications

Patents

1.

Image retrieval system with disambiguation methods based on color descriptors
(Danilo Pietro Pau, Davide Mazzini, Raimondo Schettini, Simone Bianco) filed in 2013.

@patent{pau2013image-retrieval,
 author = {Pau, Danilo Pietro and Mazzini, Davide and Schettini, Raimondo and Bianco, Simone},
 title = {Image retrieval system with disambiguation methods based on color descriptors},
 yearfiled = {2013}}

Journal Articles

5.

Benchmarking Algorithms for Food Localization and Semantic Segmentation
(Sinem Aslan, Gianluigi Ciocca, Davide Mazzini, Raimondo Schettini) In International Journal of Machine Learning and Cybernetics, volume 11, pp. 2827-2847, Springer, 2020.

@article{aslan2020benchmarking,
 author = {Aslan, Sinem and Ciocca, Gianluigi and Mazzini, Davide and Schettini, Raimondo},
 year = {2020},
 pages = {2827-2847},
 title = {Benchmarking Algorithms for Food Localization and Semantic Segmentation},
 volume = {11},
 publisher = {Springer},
 journal = {International Journal of Machine Learning and Cybernetics},
 doi = {10.1007/s13042-020-01153-z}}
4.

A Novel Approach to Data Augmentation for Pavement Distress Segmentation
(Davide Mazzini, Paolo Napoletano, Flavio Piccoli, Raimondo Schettini) In Computers in Industry, volume 121, pp. 103225, Elsevier, 2020.

@article{mazzini2020-a-novel,
 author = {Mazzini, Davide and Napoletano, Paolo and Piccoli, Flavio and Schettini, Raimondo},
 year = {2020},
 pages = {103225},
 title = {A Novel Approach to Data Augmentation for Pavement Distress Segmentation},
 volume = {121},
 publisher = {Elsevier},
 journal = {Computers in Industry},
 pdf = {https://reader.elsevier.com/reader/sd/pii/S0166361519310516?token=3FBA3E5AB701C176A5E6F0D998A6CD57454D4A4C142E7E1B616EE91D1C038EEC752E222A5706A6CABF87EE04E0A1743C},
 doi = {https://doi.org/10.1016/j.compind.2020.103225},
 issn = {0166-3615}}
3.

Multitask Painting Categorization by Deep Multibranch Neural Network
(Simone Bianco, Davide Mazzini, Paolo Napoletano, Raimondo Schettini) In Expert Systems with Applications, volume 135, pp. 90-101, 2019.

@article{bianco2019-multitask,
 author = {Bianco, Simone and Mazzini, Davide and Napoletano, Paolo and Schettini, Raimondo},
 year = {2019},
 pages = {90-101},
 title = {Multitask Painting Categorization by Deep Multibranch Neural Network},
 volume = {135},
 journal = {Expert Systems with Applications},
 pdf = {/download/Multitask_painting_categorization_by_deep_multibranch_neural_network.pdf},
 doi = {10.1016/j.eswa.2019.05.036},
 issn = {0957-4174},
 projectref = {http://www.ivl.disco.unimib.it/activities/paintings/}}
2.

Deep learning for logo recognition
(Simone Bianco, Marco Buzzelli, Davide Mazzini, Raimondo Schettini) In Neurocomputing, volume 245, pp. 23-30, Elsevier, 2017.

@article{bianco2017deep,
 author = {Bianco, Simone and Buzzelli, Marco and Mazzini, Davide and Schettini, Raimondo},
 year = {2017},
 pages = {23-30},
 title = {Deep learning for logo recognition},
 volume = {245},
 publisher = {Elsevier},
 journal = {Neurocomputing},
 url = {http://www.sciencedirect.com/science/article/pii/S0925231217305660},
 pdf = {/download/bianco2017deep.pdf},
 doi = {10.1016/j.neucom.2017.03.051},
 issn = {0925-2312},
 projectref = {http://www.ivl.disco.unimib.it/activities/logo-recognition/}}
1.

Local Detectors and Compact Descriptors for Visual Search: a Quantitative Comparison
(Simone Bianco, Davide Mazzini, Danilo Pietro Pau, Raimondo Schettini) In Digital Signal Processing, volume 44, pp. 1-13, Elsevier, 2015.

@article{bianco2015local-detectors,
 author = {Bianco, Simone and Mazzini, Davide and Pau, Danilo Pietro and Schettini, Raimondo},
 year = {2015},
 pages = {1-13},
 title = {Local Detectors and Compact Descriptors for Visual Search: a Quantitative Comparison},
 volume = {44},
 publisher = {Elsevier},
 journal = {Digital Signal Processing},
 pdf = {/download/bianco2015local-detectors.pdf},
 doi = {10.1016/j.dsp.2015.06.001},
 projectref = {http://www.ivl.disco.unimib.it/activities/local-detectors/}}

Conference Papers

7.

Evaluating CNN-Based Semantic Food Segmentation Across Illuminants
(Gianluigi Ciocca, Davide Mazzini, Raimondo Schettini) In Computational Color Imaging, volume 11418 of Lecture Notes in Computer Science, pp. 247-259, Springer International Publishing, 2019.

@inproceedings{ciocca2019segmentation,
 author = {Ciocca, Gianluigi and Mazzini, Davide and Schettini, Raimondo},
 editor = {Tominaga, Shoji and Schettini, Raimondo and Tr{\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'e}meau, Alain and Horiuchi, Takahiko},
 year = {2019},
 pages = {247-259},
 title = {Evaluating CNN-Based Semantic Food Segmentation Across Illuminants},
 volume = {11418},
 publisher = {Springer International Publishing},
 series = {Lecture Notes in Computer Science},
 booktitle = {Computational Color Imaging},
 doi = {10.1007/978-3-030-13940-7_19}}
6.

Spatial Sampling Network for Fast Scene Understanding
(Davide Mazzini, Raimondo Schettini) In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019.

@inproceedings{Mazzini_2019_CVPR_Workshops,
 author = {Mazzini, Davide and Schettini, Raimondo},
 year = {2019},
 month = {6},
 year = {2019},
 title = {Spatial Sampling Network for Fast Scene Understanding},
 booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}}
5.

A CNN Architecture for Efficient Semantic Segmentation of Street Scenes
(Davide Mazzini, Marco Buzzelli, Danilo Pietro Pau, Raimondo Schettini) In 2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin), pp. 1-6, 2018.

@inproceedings{mazzini2018cnn,
 author = {Mazzini, Davide and Buzzelli, Marco and Pau, Danilo Pietro and Schettini, Raimondo},
 year = {2018},
 pages = {1-6},
 title = {A CNN Architecture for Efficient Semantic Segmentation of Street Scenes},
 organization = {IEEE},
 booktitle = {2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin)},
 pdf = {/download/2018e_CAMERA_A_CNN_Architecture_for_Efficient_Semantic_Segmentation_of_Street_Scenes.pdf},
 doi = {10.1109/ICCE-Berlin.2018.8576193},
 issn = {2166-6822}}
4.

Guided upsampling network for real-time semantic segmentation
(Davide Mazzini) In British Machine Vision Conference (BMVC), 2018.

@inproceedings{mazzini2018guided,
 author = {Mazzini, Davide},
 year = {2018},
 title = {Guided upsampling network for real-time semantic segmentation},
 booktitle = {British Machine Vision Conference (BMVC)}}
3.

Deep Multibranch Neural Network for Painting Categorization
(Simone Bianco, Davide Mazzini, Raimondo Schettini) In Image Analysis and Processing - ICIAP 2017, volume 10484 of Lecture Notes in Computer Science, pp. 414-423, Springer, 2017.

@inproceedings{bianco2017deepMultibranch,
 author = {Bianco, Simone and Mazzini, Davide and Schettini, Raimondo},
 year = {2017},
 pages = {414-423},
 title = {Deep Multibranch Neural Network for Painting Categorization},
 volume = {10484},
 publisher = {Springer},
 series = {Lecture Notes in Computer Science},
 booktitle = {Image Analysis and Processing - ICIAP 2017},
 doi = {10.1007/978-3-319-68560-1_37}}
1.

Quantitative Review of Local Descriptors for Visual Search
(Simone Bianco, Davide Mazzini, Danilo Pietro Pau, Raimondo Schettini) In IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin), pp. 98-102, 2013.

@inproceedings{bianco2013quantitative-review,
 author = {Bianco, Simone and Mazzini, Davide and Pau, Danilo Pietro and Schettini, Raimondo},
 year = {2013},
 pages = {98-102},
 title = {Quantitative Review of Local Descriptors for Visual Search},
 booktitle = {IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)},
 doi = {10.1109/ICCE-Berlin.2013.6697972},
 projectref = {http://www.ivl.disco.unimib.it/research/supermarketMilan/index.html}}