Federico BECATTINI

Ruolo attuale:: Docente a Contratto

Recapiti

federico.becattini(AT)unifi.it

Ulteriori Recapiti

	Media Integration and Communication Center (MICC), Viale Morgagni 65, 50134, Firenze
	federico.becattini(AT)unifi.it
	https://www.micc.unifi.it/people/federico-becattini/

Federico BECATTINI

Orario di ricevimento (aggiornato al 28/02/2021)

Mercoledì pomeriggio 15:00-16:00 presso Media Integration and Communication Center (MICC), Viale Morgagni 65, seminterrato.

Durante l'emergenza sanitaria il ricevimento si svolgerà in modalità telematica mercoledì pomeriggio dalle 15:00 alle 16:00 previo appuntamento via mail.

Federico BECATTINI

Pubblicazioni

Legenda

Contributo su rivista |

Articolo su libro |

Libro |

Contributo in atti di convegno (proceeding) |

Brevetto |

Curatela | Altro

Altro |

Tesi di Dottorato

Ciamarra, Andrea; Becattini, Federico; Seidenari, Lorenzo; Del Bimbo, Alberto (2024). FLODCAST: Flow and depth forecasting via multimodal recurrent architectures. PATTERN RECOGNITION, pp. 0-0, ISSN:0031-3203 DOI

Andrea Ciamarra, Roberto Caldelli, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo (2024). Deepfake detection by exploiting surface anomalies: the SurFake approach. In: IEEE/CVF Winter Conference on Applications of Computer Vision 2024, Waikoloa, Hawaii, 04/01/2024, IEEE Computer Society, vol. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 1024-1033. Accesso ONLINE all'editore

Marchetti, Francesco; Becattini, Federico; Seidenari, Lorenzo; Bimbo, Alberto Del (2024). SMEMO: Social Memory for Trajectory Forecasting. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. PP, pp. 1-15, ISSN:0162-8828 DOI

Cultrera L.; Becattini F.; Seidenari L.; Pala P.; Del Bimbo A. (2023). Explaining autonomous driving with visual attention and end-to-end trainable region proposals. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, pp. 1-13, ISSN:1868-5137 DOI

Cultrera, Luca; Becattini, Federico; Seidenari, Lorenzo; Pala, Pietro; Bimbo, Alberto Del (2023). Addressing Limitations of State-Aware Imitation Learning for Autonomous Driving. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, pp. 1-10, ISSN:2379-8904 DOI

Federico Becattini , Giuseppe Becchi , Andrea Ferracani , Alberto Del Bimbo , Liliana Lo Presti , Giuseppe Mazzola , Marco La Cascia , Federico Cunico , Andrea Toaiari , Marco Cristani , Antonio Greco , Alessia Saggese , Mario Vento (2022). I-MALL An Effective Framework for Personalized Visits. Improving the Customer Experience in Stores. In: MM '22: The 30th ACM International Conference on Multimedia, ACM, pp. 11-19.

Guimard Q.; Sassatelli L.; Marchetti F.; Becattini F.; Seidenari L.; Del Bimbo A.; (2022). Deep variational learning for multiple trajectory prediction of 360° head movements. In: Multimedia Systems, ACM, pp. 12-26, ISBN:9781450392839 DOI

Becattini F.; Palai F.; Bimbo A.D. (2022). Understanding Human Reactions Looking At Facial Micro-Expressions With an Event Camera. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, vol. 18, pp. 9112-9121, ISSN:1551-3203 DOI

Ciamarra A.; Becattini F.; Seidenari L.; Del Bimbo A. (2022). Forecasting Future Instance Segmentation with Learned Optical Flow and Warping. In: International Conference on Image Analysis and Processing, Springer, vol. 13233 LNCS, pp. 349-361, ISBN:978-3-031-06432-6 DOI

De Divitiis, Lavinia; Becattini, Federico; Baecchi, Claudio; Bimbo, Alberto Del (2022). Disentangling Features for Fashion Recommendation. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS, pp. 0-0, ISSN:1551-6857 DOI

Claudio Ferrari, Federico Becattini, Leonardo Galteri, Alberto Del Bimbo (2022). (Compress and Restore)^N: a Robust Defense Against Adversarial Attacks on Image Classification. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS, pp. 0-0, ISSN:1551-6857 DOI

Federico Becattini, Lavinia De Divitiis, Claudio Baecchi, Alberto Del Bimbo (2021). Garment recommendation with memory augmented neural networks. In: 25th International Conference on Pattern Recognition Workshops, ICPR 2020, 2021, Springer Science and Business Media Deutschland GmbH, vol. 12662, pp. 282-295, ISBN:978-3-030-68789-2 DOI

Becattini F.; Song X.; Baecchi C.; Fang S.-T.; Ferrari C.; Nie L.; Del Bimbo A. (2021). PLM-IPE: A Pixel-Landmark Mutual Enhanced Framework for Implicit Preference Estimation. In: 3rd ACM International Conference on Multimedia in Asia, MMAsia 2021, aus, 2021, Association for Computing Machinery, pp. 1-5, ISBN:9781450386074 DOI

De Divitiis L.; Becattini F.; Baecchi C.; Del Bimbo A. (2021). Style-Based Outfit Recommendation. In: 18th International Conference on Content-Based Multimedia Indexing, CBMI 2021, fra, 2021, IEEE Computer Society, vol. 2021-, pp. 1-4, ISBN:978-1-6654-4220-6 DOI

Berlincioni L.; Becattini F.; Seidenari L.; Del Bimbo A. (2020). Multiple future prediction leveraging synthetic trajectories. In: 25th International Conference on Pattern Recognition, ICPR 2020, ita, 2021, Institute of Electrical and Electronics Engineers Inc., pp. 6081-6088, ISBN:978-1-7281-8808-9 DOI

Francesco Marchetti; Federico Becattini; Lorenzo Seidenari; Alberto Del Bimbo (2020). Multiple Trajectory Prediction of Moving Agents with Memory Augmented Networks. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, pp. 0-0, ISSN:0162-8828 DOI

Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo (2020). Mantra: Memory augmented networks for multiple trajectory prediction. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020, IEEE Computer Society, pp. 7141-7150. DOI

Innocenti S.U.; Becattini F.; Pernici F.; Del Bimbo A. (2020). Temporal binary representation for event-based action recognition. In: 25th International Conference on Pattern Recognition, ICPR 2020, ita, 2021, Institute of Electrical and Electronics Engineers Inc., pp. 10426-10432, ISBN:978-1-7281-8808-9 DOI

Cultrera L.; Seidenari L.; Becattini F.; Pala P.; Del Bimbo A. (2020). Explaining autonomous driving by learning end-to-end visual attention. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020, usa, 2020, IEEE Computer Society, vol. 2020-, pp. 1389-1398, ISBN:978-1-7281-9360-1 DOI

Pietro Bongini, Federico Becattini, Andrew David Bagdanov, Alberto del Bimbo (2020). Visual Question Answering for Cultural Heritage. In: International Conference Florence Heri-Tech, IOP Publishing, vol. 949, pp. 0-0. DOI

Federico Becattini, Tiberio Uricchio, Lorenzo Seidenari, Lamberto Ballan, Alberto Del Bimbo (2020). Am I done? Predicting action progress in videos. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS, pp. 1-24, ISSN:1551-6857 DOI

Francesco Marchetti;Federico Becattini;Lorenzo Seidenari; Alberto Del Bimbo (2020). COMPUTER-IMPLEMENTED METHOD FOR PREDICTING MULTIPLE FUTURE TRAJECTORIES OF MOVING OBJECTS. Numero: EP3916676A1;WO2021239998A1 IMRA Europe

Federico Becattini, Lorenzo Seidenari, Lorenzo Berlincioni, Leonardo Galteri, Alberto Del Bimbo (2019). Vehicle Trajectories from Unlabeled Data through Iterative Plane Registration. In: International Conference on Image Analysis and Processing, Springer, pp. 0-0. DOI

Lorenzo Berlincioni, Federico Becattini, Leonardo Galteri, Lorenzo Seidenari, Alberto Del Bimbo (2019). Road layout understanding by generative adversarial inpainting. In: Escalera, S., Ayache, S., Wan, J., Madadi, M., Güçlü, U., Baró, X.. Inpainting and Denoising Challenges, pp. 111-128 Springer, Cham, ISBN:978-3-030-25614-2. DOI

Federico Becattini, Andrea Ferracani, Filippo Principi, Marioemanuele Ghianni, Alberto Del Bimbo (2019). NeuronUnityIntegration2. 0. A Unity Based Application for Motion Capture and Gesture Recognition. In: ACM Multimedia, ACM, pp. 0-0. DOI

Federico Becattini (2018). Object and action annotation in visual media beyond categories. (Tutor: Alberto Del Bimbo, Lorenzo Seidenari, Marco Bertini)

Becattini, Federico; Seidenari, Lorenzo; Del Bimbo, Alberto (2017). Indexing quantized ensembles of exemplar-SVMs with rejecting taxonomies. MULTIMEDIA TOOLS AND APPLICATIONS, pp. 1-22, ISSN:1380-7501 DOI

Becattini, Federico; Ferracani, Andrea; Landucci, Lea; Pezzatini, Daniele; Uricchio, Tiberio; Del Bimbo, Alberto; (2016). Imaging Novecento. A Mobile App for Automatic Recognition of Artworks and Transfer of Artistic Styles. In: Euro-Mediterranean Conference, Nicosia, Cyprus, Springer, pp. 781-791. DOI Accesso ONLINE all'editore

Cuffaro, Giovanni; Becattini, Federico; Baecchi, Claudio; Seidenari, Lorenzo; Del Bimbo, Alberto (2016). Segmentation Free Object Discovery in Video. In: Computer Vision – ECCV 2016 Workshops, Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Springer, vol. 9915, pp. 25-31, ISBN:978-3-319-49409-8 DOI Accesso ONLINE all'editore

Becattini, Federico; Seidenari, Lorenzo; Del Bimbo, Alberto (2016). Indexing ensembles of exemplar-SVMs with rejecting taxonomies. In: Content-Based Multimedia Indexing (CBMI), 2016 14th International Workshop on, IEEE, pp. 0-0. DOI

Federico BECATTINI

Insegnamenti relativi all'Anno Accademico

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Federico BECATTINI

Federico BECATTINI

Federico BECATTINI

Federico BECATTINI

Insegnamenti relativi all'Anno Accademico 2022-2023 2021-2022 2020-2021 2019-2020 2018-2019

Insegnamenti relativi all'Anno Accademico