Flavio PiccoliPostdoctoral Fellow

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

Room 1048,  tel: +390264487871

Biography

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 DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione) of the University of Milano-Bicocca in the Imaging and Vision Lab (IVL) group. He’s focusing on several research activities. The main ones are image enhancement, image generation and anomaly detection for automatic 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

4.

Personalized Image Enhancement Using Neural Spline Color Transforms
(Simone Bianco, Claudio Cusano, Flavio Piccoli, Raimondo Schettini) In IEEE Transactions on Image Processing, volume 29, pp. 6223-6236, 2020.

@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}}
3.

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}}
2.

Artistic photo filter removal using convolutional neural networks
(Simone Bianco, Claudio Cusano, Flavio Piccoli, Raimondo Schettini) In Journal of Electronic Imaging, volume 27, number 1, pp. 01104:1-14, 2018.

@article{Bianco2018filter-removal,
 author = {Bianco, Simone and Cusano, Claudio and Piccoli, Flavio and Schettini, Raimondo},
 year = {2018},
 pages = {01104:1-14},
 title = {Artistic photo filter removal using convolutional neural networks},
 volume = {27},
 number = {1},
 journal = {Journal of Electronic Imaging},
 url = {http://dx.doi.org/10.1117/1.JEI.27.1.011004},
 pdf = {/download/Bianco2018filter-removal.pdf},
 doi = {10.1117/1.JEI.27.1.011004}}
1.

Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity
(Paolo Napoletano, Flavio Piccoli, Raimondo Schettini) In Sensors, volume 18, number 1, MDPI, 2018.

@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}}

Conference Papers

4.

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{bianco2020single,
 author = {Bianco, Simone and Celona, Luigi and Piccoli, Flavio},
 year = {2020},
 pages = {74-77},
 title = {Single Image Dehazing by Predicting Atmospheric Scattering Parameters},
 volume = {2020},
 number = {1},
 organization = {Society for Imaging Science and Technology},
 booktitle = {London Imaging Meeting},
 doi = {https://doi.org/10.2352/issn.2694-118X.2020.LIM-11},
 projectref = {http://www.ivl.disco.unimib.it/activities/single-image-dehazing/}}
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}}
2.

High-Resolution Single Image Dehazing using Encoder-Decoder Architecture
(Simone Bianco, Luigi Celona, Flavio Piccoli, Raimondo Schettini) In Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. -, 2019.

@inproceedings{bianco2019high,
 author = {Bianco, Simone and Celona, Luigi and Piccoli, Flavio and Schettini, Raimondo},
 year = {2019},
 pages = {-},
 title = {High-Resolution Single Image Dehazing using Encoder-Decoder Architecture},
 organization = {IEEE},
 booktitle = {Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
 projectref = {http://www.ivl.disco.unimib.it/activities/single-image-dehazing/}}
1.

Content-Preserving Tone Adjustment for Image Enhancement
(Simone Bianco, Claudio Cusano, Flavio Piccoli, Raimondo Schettini) In Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. -, 2019.

@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)}}