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.
@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{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/}}
