Marco BuzzelliPostdoctoral Fellow

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

Room 1048,  tel: +390264487871

Biography

Marco Buzzelli obtained his Bachelor Degree and Master Degree in Computer Science respectively in 2012 and 2014, focusing on Image Processing and Computer Vision tasks. He got his PhD in Computer Science in 2019 at the University of Milano – Bicocca (Italy), where he is currently employed as a post-doctoral researcher. His main topics of research include characterization of digital imaging devices, and object recognition in complex scenes.

Publications

Submitted

1.

Illumination Estimation Challenge: the experience of the first two years
(Egor Ershov, Alex Savchik, Ilya Semenkov, Nikola Banić, Karlo Koščević, Marko Subašić, [...], Marco Buzzelli, Riccardo Riva, Simone Bianco, Raimondo Schettini, [...]) In Accepted at Color Research and Application. arXiv preprint arXiv:2012.15779, 2020.

@unpublished{ershov2020illumination,
 author = {Ershov, Egor and Savchik, Alex and Semenkov, Ilya and Banić, Nikola and Koščević, Karlo and Subašić, Marko and [...], and Buzzelli, Marco and Riva, Riccardo and Bianco, Simone and Schettini, Raimondo and [...],},
 year = {2020},
 title = {Illumination Estimation Challenge: the experience of the first two years},
 journal = {Accepted at Color Research and Application. arXiv preprint arXiv:2012.15779}}

Journal Articles

8.

Revisiting the CompCars Dataset for Hierarchical Car Classification: New Annotations, Experiments, and Results
(Marco Buzzelli, Luca Segantin) In Sensors, volume 21, number 2, Multidisciplinary Digital Publishing Institute, 2021.

@article{buzzelli2021revisiting,
 author = {Buzzelli, Marco and Segantin, Luca},
 year = {2021},
 title = {Revisiting the CompCars Dataset for Hierarchical Car Classification: New Annotations, Experiments, and Results},
 volume = {21},
 number = {2},
 publisher = {Multidisciplinary Digital Publishing Institute},
 journal = {Sensors},
 url = {https://www.mdpi.com/1424-8220/21/2/596},
 pdf = {/download/sensors-21-00596-v2.pdf},
 doi = {10.3390/s21020596},
 issn = {1424-8220},
 projectref = {http://www.ivl.disco.unimib.it/activities/hierarchical-car-classification/}}
7.

Neural architecture search for image saliency fusion
(Simone Bianco, Marco Buzzelli, Gianluigi Ciocca, Raimondo Schettini) In Information Fusion, volume 57, pp. 89-101, 2020.

@article{BIANCO202089,
 author = {Bianco, Simone and Buzzelli, Marco and Ciocca, Gianluigi and Schettini, Raimondo},
 year = {2020},
 pages = {89-101},
 title = {Neural architecture search for image saliency fusion},
 volume = {57},
 journal = {Information Fusion},
 keywords = {Saliency, fusion, Evolutionary, algorithms, Neural, architecture, search},
 url = {http://www.sciencedirect.com/science/article/pii/S1566253519302374},
 pdf = {/download/NAS_image_saliency_fusion.pdf},
 doi = {https://doi.org/10.1016/j.inffus.2019.12.007},
 issn = {1566-2535}}
6.

A Vision-Based System for Monitoring Elderly People at Home
(Marco Buzzelli, Alessio Albé, Gianluigi Ciocca) In Applied Sciences, volume 10, pp. 374, Multidisciplinary Digital Publishing Institute, 2020.

@article{buzzelli2020vision,
 author = {Buzzelli, Marco and Albe, Alessio and Ciocca, Gianluigi},
 year = {2020},
 pages = {374},
 title = {A Vision-Based System for Monitoring Elderly People at Home},
 volume = {10},
 publisher = {Multidisciplinary Digital Publishing Institute},
 journal = {Applied Sciences},
 doi = {10.3390/app10010374},
 projectref = {http://www.ivl.disco.unimib.it/activities/monitoring-elderly-people/}}
5.

Recent Advances in Saliency Estimation for Omnidirectional Images, Image Groups, and Video Sequences
(Marco Buzzelli) In Applied Sciences, volume 10, number 15, pp. 5143, Multidisciplinary Digital Publishing Institute, 2020.

@article{buzzelli2020recent,
 author = {Buzzelli, Marco},
 year = {2020},
 pages = {5143},
 title = {Recent Advances in Saliency Estimation for Omnidirectional Images, Image Groups, and Video Sequences},
 volume = {10},
 number = {15},
 publisher = {Multidisciplinary Digital Publishing Institute},
 journal = {Applied Sciences},
 doi = {10.3390/app10155143}}
4.

ARC: Angle-Retaining Chromaticity diagram for color constancy error analysis
(Marco Buzzelli, Simone Bianco, Raimondo Schettini) In J. Opt. Soc. Am. A, volume 37, number 11, pp. 1721-1730, OSA, 2020.

@article{buzzelli2020arc,
 author = {Buzzelli, Marco and Bianco, Simone and Schettini, Raimondo},
 year = {2020},
 month = {1},
 pages = {1721-1730},
 title = {ARC: Angle-Retaining Chromaticity diagram for color constancy error analysis},
 volume = {37},
 number = {11},
 publisher = {OSA},
 journal = {J. Opt. Soc. Am. A},
 pdf = {/download/josaa-37-11-1721.pdf},
 doi = {10.1364/JOSAA.398692},
 projectref = {http://www.ivl.disco.unimib.it/activities/arc/}}
3.

A unifying representation for pixel-precise distance estimation
(Simone Bianco, Marco Buzzelli, Raimondo Schettini) In Multimedia Tools and Applications, volume 78, number 10, pp. 13767-13786, Springer, 2019.

@article{bianco2018unifying,
 author = {Bianco, Simone and Buzzelli, Marco and Schettini, Raimondo},
 year = {2019},
 pages = {13767-13786},
 title = {A unifying representation for pixel-precise distance estimation},
 volume = {78},
 number = {10},
 publisher = {Springer},
 journal = {Multimedia Tools and Applications},
 pdf = {/download/2018d_CAMERA_A_unifying_representation_for_pixel_precise_distance_estimation.pdf},
 doi = {10.1007/s11042-018-6568-2}}
2.

Multiscale fully convolutional network for image saliency
(Simone Bianco, Marco Buzzelli, Raimondo Schettini) In Journal of Electronic Imaging, volume 27, pp. 27-27, 2018.

@article{bianco2018multiscale,
 author = {Bianco, Simone and Buzzelli, Marco and Schettini, Raimondo},
 year = {2018},
 pages = {27-27},
 title = {Multiscale fully convolutional network for image saliency},
 volume = {27},
 journal = {Journal of Electronic Imaging},
 url = {https://doi.org/10.1117/1.JEI.27.5.051221},
 pdf = {/download/2018a_CAMERA_Multiscale_fully_convolutional_network_for_image_saliency.pdf},
 doi = {10.1117/1.JEI.27.5.051221}}
1.

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/}}

Conference Papers

9.

Consensus-driven illuminant estimation with GANs
(Marco Buzzelli, Riccardo Riva, Simone Bianco, Raimondo Schettini) In Thirteenth International Conference on Machine Vision, volume 11605, pp. 578-584, SPIE, 2021.

@inproceedings{buzzelli2021consensus,
 author = {Buzzelli, Marco and Riva, Riccardo and Bianco, Simone and Schettini, Raimondo},
 editor = {Osten, Wolfgang and Nikolaev, Dmitry P and Zhou, Jianhong},
 year = {2021},
 pages = {578-584},
 title = {Consensus-driven illuminant estimation with GANs},
 volume = {11605},
 publisher = {SPIE},
 organization = {International Society for Optics and Photonics},
 booktitle = {Thirteenth International Conference on Machine Vision},
 url = {https://doi.org/10.1117/12.2587589},
 doi = {10.1117/12.2587589}}
8.

On the Impact of Rain over Semantic Segmentation of Street Scenes
(Simone Zini, Marco Buzzelli) In Pattern Recognition. ICPR International Workshops and Challenges, Cham, pp. 597-610, Springer International Publishing, 2021.

@inproceedings{zini2021impact,
 author = {Zini, Simone and Buzzelli, Marco},
 year = {2021},
 pages = {597-610},
 title = {On the Impact of Rain over Semantic Segmentation of Street Scenes},
 publisher = {Springer International Publishing},
 address = {Cham},
 isbn = {978-3-030-68780-9},
 booktitle = {Pattern Recognition. ICPR International Workshops and Challenges}}
7.

Combining Saliency Estimation methods
(Marco Buzzelli, Simone Bianco, Gianluigi Ciocca) In Image Analysis and Processing - ICIAP 2019, volume 11752 of Lecture Notes in Computer Science, pp. 326-336, Springer, 2019.

@inproceedings{buzzelli2019combining-saliency,
 author = {Buzzelli, Marco and Bianco, Simone and Ciocca, Gianluigi},
 year = {2019},
 pages = {326-336},
 title = {Combining Saliency Estimation methods},
 volume = {11752},
 publisher = {Springer},
 series = {Lecture Notes in Computer Science},
 booktitle = {Image Analysis and Processing - ICIAP 2019},
 doi = {10.1007/978-3-030-30645-8_30}}
6.

Learning Illuminant Estimation from Object Recognition
(Marco Buzzelli, Joost Van De Weijer, Raimondo Schettini) In Image Processing (ICIP), 2018 25th IEEE International Conference on, 2018.

@inproceedings{buzzelli2018learning,
 author = {Buzzelli, Marco and Van De Weijer, Joost and Schettini, Raimondo},
 year = {2018},
 title = {Learning Illuminant Estimation from Object Recognition},
 organization = {IEEE},
 booktitle = {Image Processing (ICIP), 2018 25th IEEE International Conference on},
 pdf = {/download/2018b_CAMERA_Learning_Illuminant_Estimation_from_Object_Recognition.pdf},
 doi = {10.1109/ICIP.2018.8451229}}
5.

Recognition of Edible Vegetables and Fruits for Smart Home Appliances
(Marco Buzzelli, Federico Belotti, Raimondo Schettini) In 2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin), pp. 1-4, 2018.

@inproceedings{buzzelli2018recognition,
 author = {Buzzelli, Marco and Belotti, Federico and Schettini, Raimondo},
 year = {2018},
 pages = {1-4},
 title = {Recognition of Edible Vegetables and Fruits for Smart Home Appliances},
 organization = {IEEE},
 booktitle = {2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin)},
 pdf = {/download/2018c_CAMERA_Recognition_of_edible_vegetables_and_fruits_for_smart_home_appliances.pdf},
 doi = {10.1109/ICCE-Berlin.2018.8576236},
 issn = {2166-6822}}
4.

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}}
3.

A Fully Convolutional Network for Salient Object Detection
(Simone Bianco, Marco Buzzelli, Raimondo Schettini) In International Conference on Image Analysis and Processing, pp. 82-92, 2017.

@inproceedings{bianco2017fully,
 author = {Bianco, Simone and Buzzelli, Marco and Schettini, Raimondo},
 year = {2017},
 pages = {82-92},
 title = {A Fully Convolutional Network for Salient Object Detection},
 organization = {Springer},
 booktitle = {International Conference on Image Analysis and Processing},
 pdf = {/download/2017b_CAMERA_A_Fully_Convolutional_Network_for_Salient_Object_Detection.pdf},
 doi = {10.1007/978-3-319-68548-9_8}}
1.

Object detection using feature-based template matching
(Simone Bianco, Marco Buzzelli, Raimondo Schettini) In Image Processing: Machine Vision Applications VI, volume 8661, pp. 86610C, 2013.

@inproceedings{bianco2013object,
 author = {Bianco, Simone and Buzzelli, Marco and Schettini, Raimondo},
 year = {2013},
 pages = {86610C},
 title = {Object detection using feature-based template matching},
 volume = {8661},
 organization = {International Society for Optics and Photonics},
 booktitle = {Image Processing: Machine Vision Applications VI},
 pdf = {/download/2013a_CAMERA_Object_Detection_Using_Feature-based_Template_Matching.pdf},
 doi = {10.1117/12.2006224}}