Lorenzo SEIDENARI

Ruolo attuale:: Ricercatore Legge 240/10 a tempo determinato
SSD:: ING-INF/05 - Sistemi di elaborazione delle informazioni
Afferenza organizzativa:: Dipartimento di Ingegneria dell'Informazione

Recapiti

	055 2758602
	lorenzo.seidenari(AT)unifi.it

Ulteriori Recapiti

	Viale Morgagni 65, 50134, Firenze
	+39 055 275 1395
	lorenzo.seidenari(AT)unifi.it
	www.micc.unifi/seidenari

Lorenzo SEIDENARI

Orario di ricevimento (aggiornato al 09/04/2020)

Ricevimento telematico Lunedì 17-19, prenotazione:

https://bit.ly/RicevimentoSeidenari

Lorenzo SEIDENARI

Curriculum

Lorenzo Seidenari is an Assistant Professor at the University of Florence. Previously he was a Postdoc researcher at Media Integration and Communication Center of the University of Florence. He received his Ph.D. degree in computer engineering in 2012 from the University of Florence. His research focuses on object and action recognition in video and images using deep learning. On this topics he addressed RGB-D activity recognition, embedding learning for multimodal-fusion, anomaly detection in video and people behavior profiling. He was a visiting scholar at the University of Michigan in 2013. He organized and gave a tutorial at ICPR 2014 on image categorization.

He has been in the organizing committee of ACM MM 2010, ECCV 2012, CBMI 2017. He is a reviewer for several international conferences: CBMI, ICIAP, ACM MM, CAIP, CIARP, IEEE CVPR, IEEE ECCV, IEEE ICME, IAPR ICPR, WIAMIS, ICVS, AVSS. He frequently serves as a reviewers for several prestigious journals: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Human Machine Systems (THMS), IEEE Transactions on Circuit and Systems for Video Technology(TCSVT), IEEE Transactions on Cybernetics (TCYB), ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Pattern Recognition Letters (PRL), Computer Vision and Image Understanding (CVIU), Pattern Recognition (PR), Multimedia Tools and Applications (MTAP), Pattern Analysis and Applications (PAAA)

He was an Adjunct Professor for the course of Digital Circuits at the Polo Universitario Aretino – Politecnico di Milano. He has taught a PhD level class at the Smart Computing and Computer Engineering PhD Schools on image recognition. He advised, 3 Phd, 8 Msc and 5 Bsc students.

He is author of 14 journal papers and more than 30 peer-reviewed conference papers.

His scientific impact indices are the following:

- Google Scholar, 1395 Citations, H-Index: 19

- Scopus 828 Citations, H-Index 14.

Lorenzo SEIDENARI

Interessi

Computer Vision; Machine Learning; Multimedia Analysis

Lorenzo SEIDENARI

Pubblicazioni

Legenda

Contributo su rivista |

Articolo su libro |

Libro |

Contributo in atti di convegno (proceeding) |

Brevetto |

Curatela | Altro

Altro |

Tesi di Dottorato

Federico Becattini, Tiberio Uricchio, Lorenzo Seidenari, Lamberto Ballan, Alberto Del Bimbo (In corso di stampa). Am I done? Predicting action progress in videos. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS, pp. 0-0, ISSN:1551-6857

Menardi M.; Falcon A.; Mohamed S.S.; Seidenari L.; Serra G.; Del Bimbo A.; Tasso C. (2020). Text-to-Image Synthesis Based on Machine Generated Captions. In: 16th Italian Research Conference on Digital Libraries, IRCDL 2020, ita, 2020, Springer, vol. 1177, pp. 62-74, ISBN:978-3-030-39904-7 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

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

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

Galteri, Leonardo; Seidenari, Lorenzo; Bertini, Marco; Uricchio, Tiberio; Del Bimbo, Alberto (2019). Fast Video Quality Enhancement using GANs. In: ACM Multimedia, ACM, pp. 1065-1067, ISBN:9781450368896 DOI

Francesco Turchini, Lorenzo Seidenari, Leonardo Galteri, Andrea Ferracani, Giuseppe Becchi, Alberto Del Bimbo (2019). Flexible Automatic Football Filming and Summarization. In: 27th ACM International Conference on Multimedia, MM 2019, Association for Computing Machinery, New York, NY, United States, pp. 108-114.

Quero J.M.; Cruciani F.; Seidenari L.; Espinilla M.; Nugent C. (2019). Straightforward Recognition of Daily Objects in Smart Environments from Wearable Vision Sensor. In: 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019, jpn, 2019, Institute of Electrical and Electronics Engineers Inc., pp. 46-51, ISBN:978-1-5386-9151-9 DOI

Pala, Pietro; Seidenari, Lorenzo; Berretti, Stefano; Del Bimbo, Alberto (2019). Enhanced skeleton and face 3D data for person re-identification from depth cameras. COMPUTERS & GRAPHICS, vol. 79, pp. 69-80, ISSN:0097-8493 DOI Accesso ONLINE all'editore

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

Galteri L.; Seidenari L.; Bertini M.; Del Bimbo A. (2019). Towards Real-Time Image Enhancement GANs. In: 18th International Conference on Computer Analysis of Images and Patterns, CAIP 2019, ita, 2019, Springer Verlag, vol. 11678, pp. 183-195, ISBN:978-3-030-29887-6 DOI Accesso ONLINE all'editore

Leonardo Galteri , Lorenzo Seidenari , Marco Bertini , Alberto Del Bimbo (2019). Deep Universal Generative Adversarial Compression Artifact Removal. IEEE TRANSACTIONS ON MULTIMEDIA, pp. 1-15, ISSN:1520-9210 DOI

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

P. Pala, L. Seidenari, S. Berretti, A. Del Bimbo (2018). Person Re-Identification from Depth Cameras using Skeleton and 3D Face Data. In: 11th Eurographics Workshop on 3D Object Retrieval} (3DOR 2018), Delft, Olanda, 15-16 Maggio, 2018, Eurographics, pp. 1-7.

Seidenari, Lorenzo; Baecchi, Claudio; Uricchio, Tiberio; Ferracani, Andrea; Bertini, Marco; Del Bimbo, Alberto; (2018). Object Recognition and Tracking for Smart Audio Guides. In: Italian Research Conference on Digital Libraries (IRCDL 2018), Springer, pp. 1-6. DOI

Bondi, Enrico; Pala, Pietro; Seidenari, Lorenzo; Berretti, Stefano; Del Bimbo, Alberto (2018). Long Term Person Re-Identification from Depth Cameras using Facial and Skeleton Data. In: 2nd International Workshop on Understanding Human Activities through 3D Sensors (UHA3DS'16), Cancun, Mexico, 4 December, 2016, Springer, vol. 10188 LNCS, pp. 29-41, ISBN:978-3-319-91862-4 DOI Accesso ONLINE all'editore

Lorenzo Seidenari, Alessandro Rozza, Alberto Del Bimbo (2018). Real-Time Demographic Profiling from Face Imagery with Fisher Vectors. MACHINE VISION AND APPLICATIONS, pp. 1-16, ISSN:0932-8092 DOI

Leonardo Galteri, Marco Bertini, Lorenzo Seidenari, Alberto Del Bimbo (2018). Video Compression for Object Detection Algorithms. In: International Conference on Pattern Recognition 2018, Beijing, China, 20-24 August 2018, IEEE, pp. 0-0. DOI

Francesco Turchini, Lorenzo Seidenari,Tiberio Uricchio, Alberto Del Bimbo (2018). Deep Learning Based Surveillance System for Open Critical Areas. INVENTIONS, vol. 3, pp. 1-13, ISSN:2411-5134 DOI Accesso ONLINE all'editore

Lorenzo Seidenari, Claudio Baecchi, Tiberio Uricchio, Andrea Ferracani, Marco Bertini, Alberto Del Bimbo (2018). Wearable Systems for Improving Museum Experience. In: Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe. Multi-Modal Behavioral Analysis in the Wild: Advances and Challenges, pp. 3-28 Elsevier, ISBN:9780128146019.

Leonardo, Galteri; Lorenzo, Seidenari; Marco, Bertini; Alberto Del, Bimbo (2017). Deep Generative Adversarial Compression Artifact Removal. In: ICCV 2017, Venezia, 22-29 October, IEEE, pp. 4826-4835, ISBN:978-1-5386-1032-9 DOI Accesso ONLINE all'editore

Baecchi, Claudio; Uricchio, Tiberio; Seidenari, Lorenzo; Del Bimbo, Alberto (2017). Outdoor object recognition for smart audio guides. In: 25th ACM International Conference on Multimedia, MM 2017, Computer History Museum, usa, 2017, Association for Computing Machinery, Inc, pp. 1247-1248, ISBN:9781450349062 DOI

Del Bimbo, Alberto; Bertini, Marco; Seidenari, Lorenzo; Uricchio, Tiberio; Baecchi, Claudio; Ferracani, Andrea (2017). Portable computer vision for new "intelligent" audio guides. In: EVA 2017 Florence - Electroning Imaging \& the Visual Arts, Aracne Editrice, pp. 0-0.

Galteri, Leonardo; Seidenari, Lorenzo; Bertini, Marco; Del Bimbo, Alberto (2017). Spatio-Temporal Closed-Loop Object Detection. IEEE TRANSACTIONS ON IMAGE PROCESSING, pp. 0-0, ISSN:1057-7149 DOI

Lorenzo, Seidenari; Claudio, Baecchi; Tiberio, Uricchio; Andrea, Ferracani; Marco, Bertini; Alberto Del, Bimbo (2017). Deep artwork detection and retrieval for context aware smart audio guides. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS, pp. 0-21, ISSN:1551-6857 DOI

Bartoli, Federico; Lisanti, Giuseppe; Seidenari, Lorenzo; Del Bimbo, Alberto (2017). PACE: Prediction-based annotation for crowded environments. In: 17th ACM International Conference on Multimedia Retrieval, ICMR 2017, rou, 2017, Association for Computing Machinery, Inc, pp. 121-124, ISBN:9781450347013 DOI

Turchini, Francesco; Seidenari, Lorenzo; Del Bimbo, Alberto (2017). Convex polytope ensembles for spatio-temporal anomaly detection. In: 19th International Conference on Image Analysis and Processing, ICIAP 2017, ita, 2017, Springer Verlag, vol. 10484, pp. 174-184, ISBN:9783319685595 DOI Accesso ONLINE all'editore

Galteri, Leonardo; Bazazian, Dena; Seidenari, Lorenzo; Bertini, Marco; Andrew D Bagdanov, ; Nicolau, Anguelos; Karatzas, Dimosthenis; Del Bimbo, Alberto (2017). Reading Text in the Wild from Compressed Images. In: International Conference on Computer Vision Workshops, Venezia, IEEE, pp. 0-0, ISBN:978-1-5386-1034-3 DOI

Turchini, Francesco; Seidenari, Lorenzo; Del Bimbo, Alberto (2017). Understanding and Localizing Activities from Correspondences of Clustered Trajectories. COMPUTER VISION AND IMAGE UNDERSTANDING, pp. 0-0, ISSN:1077-3142 DOI

Uricchio, Tiberio; Ballan, Lamberto; Seidenari, Lorenzo; Del Bimbo, Alberto (2017). Automatic image annotation via label transfer in the semantic space. PATTERN RECOGNITION, vol. 71, pp. 144-157, ISSN:0031-3203 DOI

Ferracani, Andrea; Pezzatini, Daniele; Seidenari, Lorenzo; Del Bimbo, Alberto (2017). Natural Interaction in Medical Training. Tools and Applications. Springer International Publishing, ISBN:978-3319610351

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; 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

Bruni, Matteo; Uricchio, Tiberio; Seidenari, Lorenzo; Del Bimbo, Alberto (2016). Do textual descriptions help action recognition?. In: 24th ACM Multimedia Conference, MM 2016, gbr, 2016, Association for Computing Machinery, Inc, pp. 645-649, ISBN:9781450336031 DOI

Taverriti, Giovanni; Lombini, Stefano; Seidenari, Lorenzo; Bertini, Marco; Del Bimbo, Alberto (2016). Real-time wearable computer vision system for improved museum experience. In: 24th ACM Multimedia Conference, MM 2016, gbr, 2016, Association for Computing Machinery, Inc, pp. 703-704, ISBN:9781450336031 DOI

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

Bartoli, Federico; Lisanti, Giuseppe; Seidenari, Lorenzo; Del Bimbo, Alberto (2016). User interest profiling using tracking-free coarse gaze estimation. In: 23rd International Conference on Pattern Recognition, ICPR 2016, Cancun Center, mex, 2016, Institute of Electrical and Electronics Engineers Inc., pp. 1839-1844, ISBN:9781509048472 DOI Accesso ONLINE all'editore

Bartoli, Federico; Seidenari, Lorenzo; Lisanti, Giuseppe; Karaman, Svebor; Del Bimbo, Alberto (2015). WATSS: a Web Annotation Tool for Surveillance Scenarios. In: ACM Multimedia Conference, ACM, pp. 701-704, ISBN:978-1-4503-3459-4

Uricchio, Tiberio; Bertini, Marco; Seidenari, Lorenzo; Del Bimbo, Alberto (2015). Fisher Encoded Convolutional Bag-of-Windows for Efficient Image Retrieval and Social Image Tagging. In: International Conference on Computer Vision Workshops 2015, IEEE, pp. 9-15, ISBN:978-1-4673-9711-7 DOI

Seidenari, Lorenzo; Rozza, Alessandro; Del Bimbo, Alberto (2015). Real-Time age estimation from face imagery using fisher vectors. In: 18th International Conference on Image Analysis and Processing, ICIAP 2015, ita, 2015, Springer Verlag, vol. 9280, pp. 172-182, ISBN:9783319232331 DOI Accesso ONLINE all'editore

Turchini, Francesco ; Seidenari, Lorenzo; Del Bimbo, Alberto (2015). Understanding sport activities from correspondences of clustered trajectories. In: 2nd IEEE International Workshop on Computer Vision in Sports (CVsports), Santiago, CHILE, IEEE, pp. 0-0, ISBN:978-1-4673-9711-7

Ciolini, Andrea; Seidenari, Lorenzo; Karaman, Svebor; Del Bimbo, Alberto (2015). Efficient hough forest object detection for low-power devices. In: 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015, ita, 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, ISBN:9781479970797 DOI

Bartoli, Federico; Lisanti, Giuseppe; Seidenari, Lorenzo; Karaman, Svebor; Del Bimbo, Alberto (2015). MuseumVisitors: a dataset for pedestrian and group detection, gaze estimation and behavior understanding. In: Computer Vision and Pattern Recognition, IEEE, pp. 19-27, ISBN:978-1-4673-6759-2 DOI

Andrea Ferracani;Daniele Pezzatini;Lorenzo Seidenari;Alberto Del Bimbo (2014). Natural and virtual environments for the training of emergency medicine personnel. UNIVERSAL ACCESS IN THE INFORMATION SOCIETY, pp. 1-12, ISSN:1615-5289 DOI

Lorenzo Seidenari; Giuseppe Serra; Andrew D. Bagdanov; and Alberto Del Bimbo (2014). Local Pyramidal Descriptors for Image Recognition. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 36, pp. 1033-1040, ISSN:0162-8828 DOI

C. Baecchi*; F. Turchini*; L. Seidenari; A. D. Bagdanov; A. Del Bimbo (2014). Fisher Vectors over Random Density Forest for Object Recognition. In: ICPR, Stockholm, Sweden, ICPR, pp. ---, ISBN:978-1-4799-5209-0 DOI

S. Karaman;L. Seidenari;S. Ma;A. Del Bimbo;S. Sclaroff (2014). Adaptive structured pooling for action recognition. In: BMVC, 2014, British Machine Vision Association, pp. 1-12. Accesso ONLINE all'editore

Enrico Bondi;Lorenzo Seidenari;Andrew D. Bagdanov;Alberto Del Bimbo (2014). Real-time people counting from depth imagery of crowded environments. In: AVSS, IEEE, pp. 337-342, ISBN:9781479948710 DOI

Lamberto Ballan; Tiberio Uricchio; Lorenzo Seidenari; Alberto Del Bimbo (2014). A Cross-media Model for Automatic Image Annotation. In: ACM International Conference on Multimedia Retrieval (ICMR), Glasgow, UK, April 1-4, ACM, pp. ---, ISBN:978-1-4503-2782-4

L. Seidenari; V. Varano; S. Berretti; A. Del Bimbo; P. Pala (2013). Weakly Aligned Multi-Part Bag-of-Poses for Action Recognition from Depth Cameras. In: International Workshop on Social Behaviour Analyis (SBA'13), Napoli, Italia, 10 Settembre 2013, Springer-Verlag Berlin Heidelberg, vol. 8158, pp. 446-455, ISBN:978-3-642-41189-2 DOI Accesso ONLINE all'editore

Alberto Del Bimbo;Andrea Ferracani;Daniele Pezzatini;Lorenzo Seidenari (2013). A Natural Interface for the Training of Medical Personnel in an Immersive and Virtual Reality System. In: Image Analysis and Processing, Springer, vol. 8156, pp. 763-772, ISBN:9783642411809 DOI

L. Ballan; L. Seidenari; G. Serra; M. Bertini; A. Del Bimbo (2013). Recognizing Human Actions by Using Effective Codebooks and Tracking. In: G. M. Farinella, S. Battiato, R. Cipolla. Advanced Topics in Computer Vision, pp. 65-93, London: Springer-Verlag, ISBN:9781447155195. DOI

Lorenzo Seidenari;Vincenzo Varano;Stefano Berretti;Alberto Del Bimbo;Pietro Pala (2013). Recognizing Actions from Depth Cameras as Weakly Aligned Multi-part Bag-of-Poses. In: International Conference on Computer Vision and Pattern Recognition, Portland, Oregon, USA, 23-28 June 2013, IEEE, pp. 479-485, ISBN:978-0-7695-4990-3 DOI Accesso ONLINE all'editore

L. Ballan;M. Bertini;A. Del Bimbo;L. Seidenari;G. Serra (2012). Effective Codebooks for Human Action Representation and Classification in Unconstrained Videos. IEEE TRANSACTIONS ON MULTIMEDIA, vol. 14:4, pp. 1234-1245, ISSN:1520-9210 DOI

A. D. Bagdanov; A. Del Bimbo; L. Seidenari; L. Usai (2012). Real-time hand status recognition from RGB-D imagery. In: International Conference on Pattern Recognition, Novembre 2012, IEEE, pp. 2456-2459. Accesso ONLINE all'editore

M. Bertini;A. Del Bimbo;L. Seidenari (2012). Multi-scale and real-time non-parametric approach for anomaly detection and localization. COMPUTER VISION AND IMAGE UNDERSTANDING, vol. 116, pp. 320-329, ISSN:1077-3142 DOI

Lorenzo Seidenari (2012). Supervised and Semi-supervised Event Detection with Local Spatio-Temporal Features. (Tutor: Alberto Del Bimbo)

Giovanna Bartoli;Alberto Del Bimbo;Martino Faconti;Andrea Ferracani;Vittoria Marini;Daniele Pezzatini;Lorenzo Seidenari;Felipe Zilleruelo (2012). Emergency medicine training with gesture driven interactive 3D simulations. In: ACM workshop on User experience in e-learning and augmented technologies in education - UXeLATE '12, ACM, pp. 25-29, ISBN:9781450315937 DOI

M. Bertini;A. Del Bimbo;L. Seidenari (2012). Scene and crowd behaviour analysis with local space-time descriptors. In: Proc. of 5th International Symposium on Communications, Control, and Signal Processing (ISCCSP), 2012-May, IEEE, pp. 1-6. DOI

Lamberto Ballan; Marco Bertini; Alberto Del Bimbo; Lorenzo Seidenari; Giuseppe Serra (2011). Event Detection and Recognition for Semantic Annotation of Video. MULTIMEDIA TOOLS AND APPLICATIONS, vol. 51:1, pp. 279-302, ISSN:1380-7501 DOI

Costantini, L.; Seidenari, L.; Serra, G.; Del Bimbo, A.; Capodiferro, L. (2011). Space-time Zernike Moments and Pyramid Kernel Descriptors for Action Classification. In: International Conference on Image Analysis and Processing, 2011-September, IAPR, pp. 199-208. Accesso ONLINE all'editore

A. D. Bagdanov;M. Bertini;A. Del Bimbo;L. Seidenari (2011). Adaptive Video Compression for Video Surveillance Applications. In: International Symposium on Multimedia, 2011-December, IEEE, pp. 190-197. DOI Accesso ONLINE all'editore

L. Seidenari;M. Bertini (2010). Non-parametric Anomaly Detection Exploiting Space-time Features. In: ACM International Conference on Multimedia (ACM MM), 2010-Oct, ACM, pp. 1139-1142.

Lamberto Ballan; Marco Bertini; Alberto Del Bimbo; Fabrizio Dini; Giuseppe Lisanti; Lorenzo Seidenari; Giuseppe Serra (2010). Recent research activities in videosurveillance at UNIFI:MICC. In: Convegno del Gruppo Italiano Ricercatori in Pattern Recognition (GIRPR), Marina di Ascea (SA), Itally, -, pp. ---.

L. Seidenari;M. Bertini;A. D. Bimbo (2010). Dense Spatio-temporal Features For Non-parametric Anomaly Detection And Localization. In: ACM Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams (ARTEMIS), 2010-Oct, ACM / Association for Computing Machinery:1515 Broadway, 17th Floor:New York, NY 10036:(212)869-7440, EMAIL: acmhelp@hq.acm.org, INTERNET: http://www.acm.org, Fax: (212)944-1318, pp. 27-32.

Lamberto Ballan;Marco Bertini;Alberto Del Bimbo;Lorenzo Seidenari;Giuseppe Serra (2009). Effective Codebooks for Human Action Categorization. In: IEEE International Conference on Computer Vision - VOEC Workshop, Kyoto, Japan, September 27, IEEE, pp. 506-513. DOI

L. Ballan;M. Bertini;A. Del Bimbo;L. Seidenari;G. Serra (2009). Human Action Recognition and Localization using Spatio-temporal Descriptors and Tracking. In: AI*IA International Workshop on Pattern Recognition and Artificial Intelligence for Human Behaviour Analysis (PRAI*HBA), 2009-Dec, Reggio Emilia, Italy:, AI*IA, pp. 1-8.

Lamberto Ballan;Marco Bertini;Alberto Del Bimbo;Lorenzo Seidenari;Giuseppe Serra (2009). Recognizing Human Actions by Fusing Spatio-temporal Appearance and Motion Descriptors. In: IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, November 7-12, IEEE, pp. 3569-3572. DOI

Lorenzo SEIDENARI

Insegnamenti relativi all'Anno Accademico

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Lorenzo SEIDENARI

Curriculum

Lorenzo Seidenari is an Assistant Professor at the University of Florence. Previously he was a Postdoc researcher at Media Integration and Communication Center of the University of Florence. He received his Ph.D. degree in computer engineering in 2012 from the University of Florence. His research focuses on object and action recognition in video and images using deep learning. On this topics he addressed RGB-D activity recognition, embedding learning for multimodal-fusion, anomaly detection in video and people behavior profiling. He was a visiting scholar at the University of Michigan in 2013. He organized and gave a tutorial at ICPR 2014 on image categorization.

He has been in the organizing committee of ACM MM 2010, ECCV 2012, CBMI 2017. He is a reviewer for several international conferences: CBMI, ICIAP, ACM MM, CAIP, CIARP, IEEE CVPR, IEEE ECCV, IEEE ICME, IAPR ICPR, WIAMIS, ICVS, AVSS. He frequently serves as a reviewers for several prestigious journals: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Human Machine Systems (THMS), IEEE Transactions on Circuit and Systems for Video Technology(TCSVT), IEEE Transactions on Cybernetics (TCYB), ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Pattern Recognition Letters (PRL), Computer Vision and Image Understanding (CVIU), Pattern Recognition (PR), Multimedia Tools and Applications (MTAP), Pattern Analysis and Applications (PAAA)

He was an Adjunct Professor for the course of Digital Circuits at the Polo Universitario Aretino – Politecnico di Milano. He has taught a PhD level class at the Smart Computing and Computer Engineering PhD Schools on image recognition. He advised, 3 Phd, 8 Msc and 5 Bsc students.

He is author of 14 journal papers and more than 30 peer-reviewed conference papers.

His scientific impact indices are the following:

- Google Scholar, 1395 Citations, H-Index: 19

- Scopus 828 Citations, H-Index 14.

Lorenzo SEIDENARI

Lorenzo SEIDENARI

Lorenzo SEIDENARI

Lorenzo SEIDENARI

Lorenzo SEIDENARI

Lorenzo SEIDENARI

Insegnamenti relativi all'Anno Accademico 2020-2021 2019-2020 2018-2019 2017-2018

Lorenzo SEIDENARI

Insegnamenti relativi all'Anno Accademico