Flavio Piccoli took his Ph.D. degree in Computer Science at the University of Milano-Bicocca (Italy) in 2019.
He is currently a Postdoctoral Research Fellow at National Institute of Nuclear Physics (Instituto Nazionale di Fisica Nucleare – INFN) in Milan, Italy.
He is also an Associated Member of the Imaging and Vision Lab (IVL) and an adjunct professor at university of Milano Bicocca.
His current research interests focus on deep learning, computer vision, remote sensing, precision agricolture, anomaly detection, image generation, signal processing, audio processing and industrial quality inspection.
He has also done an abroad period at the Computer Vision Center (CVC) of the Universitat Autònoma de Barcelona (UAB), in the Learning and Machine Perception (LAMP) group.
Publications
Journal Articles
11.
An Open-Source Platform for GIS Data Management and Analytics (Flavio Piccoli, Simone Giuseppe Locatelli, Raimondo Schettini, Paolo Napoletano)
In Sensors, volume 23, number 8, pp. 3788, MDPI, 2023.
@article{piccoli2023open, author = {Piccoli, Flavio and Locatelli, Simone Giuseppe and Schettini, Raimondo and Napoletano, Paolo}, year = {2023}, pages = {3788}, title = {An Open-Source Platform for GIS Data Management and Analytics}, volume = {23}, number = {8}, publisher = {MDPI}, journal = {Sensors}}
@article{agarla2023semi, author = {Agarla, Mirko and Bianco, Simone and Celona, Luigi and Napoletano, Paolo and Petrovsky, Alexey and Piccoli, Flavio and Schettini, Raimondo and Shanin, Ivan}, year = {2023}, pages = {121368}, title = {Semi-supervised cross-lingual speech emotion recognition}, publisher = {Elsevier}, journal = {Expert Systems with Applications}, pdf = {https://arxiv.org/pdf/2207.06767.pdf}}
9.
A deep scalable neural architecture for soil properties estimation from spectral information (Flavio Piccoli, Micol Rossini, Roberto Colombo, Raimondo Schettini, Paolo Napoletano)
In Computers & Geosciences, pp. 105433, Elsevier, 2023.
@article{piccoli2023deep, author = {Piccoli, Flavio and Rossini, Micol and Colombo, Roberto and Schettini, Raimondo and Napoletano, Paolo}, year = {2023}, pages = {105433}, title = {A deep scalable neural architecture for soil properties estimation from spectral information}, publisher = {Elsevier}, journal = {Computers & Geosciences}, pdf = {https://arxiv.org/pdf/2210.17314}}
8.
Estimation of Soil Characteristics from Multispectral Sentinel-3 Imagery and DEM Derivatives Using Machine Learning (Flavio Piccoli, Mirko Paolo Barbato, Marco Peracchi, Paolo Napoletano)
In Sensors, volume 23, number 18, 2023.
@article{piccoli2023estimation, author = {Piccoli, Flavio and Barbato, Mirko Paolo and Peracchi, Marco and Napoletano, Paolo}, year = {2023}, title = {Estimation of Soil Characteristics from Multispectral Sentinel-3 Imagery and DEM Derivatives Using Machine Learning}, volume = {23}, number = {18}, journal = {Sensors}, url = {https://www.mdpi.com/1424-8220/23/18/7876}, pdf = {https://www.mdpi.com/1424-8220/23/18/7876/pdf?version=1694684480}, doi = {10.3390/s23187876}, issn = {1424-8220}}
@article{zini2023deep, author = {Zini, Simone and Barbato, Mirko Paolo and Piccoli, Flavio and Napoletano, Paolo}, year = {2023}, title = {Deep Learning Hyperspectral Pansharpening on large scale PRISMA dataset}, journal = {arXiv preprint arXiv:2307.11666}}
@article{BARBATO2022100823, author = {Barbato, Mirko Paolo and Napoletano, Paolo and Piccoli, Flavio and Schettini, Raimondo}, year = {2022}, pages = {100823}, title = {Unsupervised segmentation of hyperspectral remote sensing images with superpixels}, volume = {28}, journal = {Remote Sensing Applications: Society and Environment}, url = {https://www.sciencedirect.com/science/article/pii/S2352938522001318}, pdf = {/download//2204.12296.pdf}, doi = {https://doi.org/10.1016/j.rsase.2022.100823}, issn = {2352-9385}}
@article{napoletano2021semi, author = {Napoletano, Paolo and Piccoli, Flavio and Schettini, Raimondo}, year = {2021}, pages = {115275}, title = {Semi-supervised Anomaly Detection for Visual Quality Inspection}, publisher = {Elsevier}, journal = {Expert Systems with Applications}, pdf = {https://www.sciencedirect.com/science/article/pii/S0957417421007065}}
@article{bianco2020personalized, author = {Bianco, Simone and Cusano, Claudio and Piccoli, Flavio and Schettini, Raimondo}, year = {2020}, pages = {6223-6236}, title = {Personalized Image Enhancement Using Neural Spline Color Transforms}, volume = {29}, journal = {IEEE Transactions on Image Processing}, pdf = {/download/Personalized_Image_Enhancement_Using_Neural_Spline_Color_Transforms.pdf}, doi = {https://doi.org/10.1109/TIP.2020.2989584}}
@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}}
@article{Napoletano2018anomaly, author = {Napoletano, Paolo and Piccoli, Flavio and Schettini, Raimondo}, year = {2018}, title = {Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity}, volume = {18}, number = {1}, publisher = {MDPI}, journal = {Sensors}, url = {http://www.mdpi.com/1424-8220/18/1/209}, pdf = {/download/Napoletano2018anomaly.pdf}, doi = {10.3390/s18010209}, issn = {1424-8220}}
@inproceedings{bianco2023food, author = {Bianco, Simone and Buzzelli, Marco and Chiriaco, Gaetano and Napoletano, Paolo and Piccoli, Flavio}, year = {2023}, title = {Food Recognition with Vision Transformers}, organization = {IEEE}, booktitle = {2023 IEEE 13th International Conference on Consumer Electronics-Berlin (ICCE-Berlin)}}
7.
On the Use of Personalized Models for Blood Glucose Concentration Prediction (Niccolò Puccinelli, Paolo Napoletano, Flavio Piccoli)
In 2023 IEEE 13th International Conference on Consumer Electronics-Berlin (ICCE-Berlin), 2023.
@inproceedings{puccinelli2023on, author = {Puccinelli, Niccolò and Napoletano, Paolo and Piccoli, Flavio}, year = {2023}, title = {On the Use of Personalized Models for Blood Glucose Concentration Prediction}, organization = {IEEE}, booktitle = {2023 IEEE 13th International Conference on Consumer Electronics-Berlin (ICCE-Berlin)}}
@inproceedings{bianco2022arabceleb, author = {Bianco, Simone and Celona, Luigi and Khalifa, Intissar and Napoletano, Paolo and Petrovsky, Alexey and Piccoli, Flavio and Schettini, Raimondo and Shanin, Ivan}, year = {2022}, pages = {338-347}, title = {ArabCeleb: Speaker Recognition in Arabic}, publisher = {Springer International Publishing}, address = {Cham}, isbn = {978-3-031-08421-8}, booktitle = {AIxIA 2021 -- Advances in Artificial Intelligence}, doi = {10.1007/978-3-031-08421-8_23}, projectref = {http://www.ivl.disco.unimib.it/activities/arabceleb/}}
5.
Single Image Dehazing by Predicting Atmospheric Scattering Parameters (Simone Bianco, Luigi Celona, Flavio Piccoli)
In London Imaging Meeting, volume 2020, number 1, pp. 74-77, 2020.
@inproceedings{Ancuti_2019_CVPR_Workshops, author = {Ancuti, Codruta O and Ancuti, Cosmin and Timofte, Radu and Van Gool, Luc and Zhang, Lei and Yang, Ming-Hsuan and [...], and Bianco, Simone and Celona, Luigi and Piccoli, Flavio and Schettini, Raimondo}, year = {2019}, month = {6}, year = {2019}, title = {NTIRE 2019 Image Dehazing Challenge Report}, organization = {IEEE/CVF}, booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}}
3.
Learning Parametric Functions for Color Image Enhancement (Simone Bianco, Claudio Cusano, Flavio Piccoli, Raimondo Schettini)
In Computational Color Imaging, volume 11418 of Lecture Notes in Computer Science, pp. 209-220, Springer International Publishing, 2019.
@inproceedings{bianco2019learning, author = {Bianco, Simone and Cusano, Claudio and Piccoli, Flavio and Schettini, Raimondo}, editor = {Tominaga, Shoji and Schettini, Raimondo and Tr{\\\\\\\\\\\\\\\'e}meau, Alain and Horiuchi, Takahiko}, year = {2019}, pages = {209-220}, title = {Learning Parametric Functions for Color Image Enhancement}, volume = {11418}, publisher = {Springer International Publishing}, series = {Lecture Notes in Computer Science}, booktitle = {Computational Color Imaging}, doi = {10.1007/978-3-030-13940-7_16}}
@inproceedings{bianco2019content, author = {Bianco, Simone and Cusano, Claudio and Piccoli, Flavio and Schettini, Raimondo}, year = {2019}, pages = {-}, title = {Content-Preserving Tone Adjustment for Image Enhancement}, organization = {IEEE}, booktitle = {Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)}}
@inproceedings{bianco2019high, author = {Bianco, Simone and Celona, Luigi and Piccoli, Flavio and Schettini, Raimondo}, year = {2019}, title = {High-Resolution Single Image Dehazing using Encoder-Decoder Architecture}, organization = {IEEE}, booktitle = {Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)}, doi = {10.1109/CVPRW.2019.00244}, projectref = {http://www.ivl.disco.unimib.it/activities/single-image-dehazing/}}
