Paolo Rota

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Nicu SebeUniversity of TrentoZweryfikowany adres z unitn.it
Nicola ConciUniversity of TrentoZweryfikowany adres z unitn.it
Michael ReiterTU WienZweryfikowany adres z tuwien.ac.at
Francesco SettiUniversity of VeronaZweryfikowany adres z univr.it
Markus DiemSenior Scientist, Computer Vision Lab, TU WienZweryfikowany adres z cvl.tuwien.ac.at
Florian KleberTU WienZweryfikowany adres z cvl.tuwien.ac.at
Marco CristaniUniversità degli Studi di Verona & Istituto Italiano di Tecnologia & CNR TrentoZweryfikowany adres z univr.it
Chiara BassettiDepartment of Sociology and Social Research, University of TrentoZweryfikowany adres z unitn.it
Vittorio MurinoProfessor, University of Verona - Former director of PAVIS @ Italian Institute of Technology, ItalyZweryfikowany adres z iit.it
Fabio MorrealeSenior Lecturer, University of AucklandZweryfikowany adres z auckland.ac.nz
Antonella De AngeliUniversity of Bolzano ItalyZweryfikowany adres z unibz.it
Raul MasuLecturer, King Mongkut's Institute of Technology LadkrabangZweryfikowany adres z kmitl.ac.th
Habib UllahAssociate Professor in Data science/Industrial economics; Norwegian University of Life SciencesZweryfikowany adres z nmbu.no
James M. RehgProfessor of Computer Science, Georgia Institute of TechnologyZweryfikowany adres z gatech.edu
Enver SanginetoUniversity of Modena e Reggio EmiliaZweryfikowany adres z unimore.it
Bo ZhangPhd, The University of TrentoZweryfikowany adres z disi.unitn.it
Cigdem BeyanAssistant Professor @University of TrentoZweryfikowany adres z unitn.it
Marco GodiUniversità degli Studi di VeronaZweryfikowany adres z univr.it
Roberta FerrarioRicercatrice, CNRZweryfikowany adres z cnr.it
Giulia BoatoUniversity of TrentoZweryfikowany adres z disi.unitn.it

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Paolo Rota

Tenure-track Professor (RTDb) @ University of Trento

Zweryfikowany adres z unitn.it - Strona główna

Computer Vision Machine Learning Scene Understanding Multimodal Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound S Roy, W Menapace, S Oei, B Luijten, E Fini, C Saltori, I Huijben, ... IEEE transactions on medical imaging 39 (8), 2676-2687, 2020	396	2020
Curriculum learning: A survey P Soviany, RT Ionescu, P Rota, N Sebe International Journal of Computer Vision 130 (6), 1526-1565, 2022	82	2022
The s-hock dataset: Analyzing crowds at the stadium D Conigliaro, P Rota, F Setti, C Bassetti, N Conci, N Sebe, M Cristani Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	54	2015
Particles Cross-Influence for Entity Grouping P Rota, H Ullah, N Conci, N Sebe, FGB De Natale Eu.Si.P.Co., 2013	37	2013
Collaborative creativity: The music room F Morreale, A De Angeli, R Masu, P Rota, N Conci Personal and Ubiquitous Computing 18, 1187-1199, 2014	35	2014
Real-life violent social interaction detection P Rota, N Conci, N Sebe, JM Rehg 2015 IEEE international conference on image processing (ICIP), 3456-3460, 2015	31	2015
Real Time Detection of Social Interactions in Surveillance Video. P Rota, N Conci, N Sebe ECCV Workshops (3), 111-120, 2012	30	2012
Bad teacher or unruly student: Can deep learning say something in image forensics analysis? P Rota, E Sangineto, V Conotter, C Pramerdorfer 2016 23rd International Conference on Pattern Recognition (ICPR), 2503-2508, 2016	29	2016
Curriculum self-paced learning for cross-domain object detection P Soviany, RT Ionescu, P Rota, N Sebe Computer Vision and Image Understanding 204, 103166, 2021	27	2021
Class-aware modality mix and center-guided metric learning for visible-thermal person re-identification Y Ling, Z Zhong, Z Luo, P Rota, S Li, N Sebe Proceedings of the 28th ACM international conference on multimedia, 889-897, 2020	25	2020
Clustering of cell populations in flow cytometry data using a combination of Gaussian mixtures M Reiter, P Rota, F Kleber, M Diem, S Groeneveld-Krentz, M Dworzak Pattern Recognition 60, 1029-1040, 2016	24	2016
On automated Flow Cytometric analysis for MRD estimation of Acute Lymphoblastic Leukaemia: A comparison among different approaches P Rota, S Groeneveld-Krentz, M Reiter 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015	16	2015
Oxynet: A collective intelligence that detects ventilatory thresholds in cardiopulmonary exercise tests A Zignoli, A Fornasiero, P Rota, V Muollo, LA Peyré-Tartaruga, DA Low, ... European Journal of Sport Science 22 (3), 425-435, 2022	15	2022
Filling the gaps: Predicting missing joints of human poses using denoising autoencoders N Carissimi, P Rota, C Beyan, V Murino Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018	15	2018
The S-Hock dataset: A new benchmark for spectator crowd analysis F Setti, D Conigliaro, P Rota, C Bassetti, N Conci, N Sebe, M Cristani Computer Vision and Image Understanding 159, 47-58, 2017	10	2017
Dual-head contrastive domain adaptation for video action recognition VGT da Costa, G Zara, P Rota, T Oliveira-Santos, N Sebe, V Murino, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022	9	2022
Indirect match highlights detection with deep convolutional neural networks M Godi, P Rota, F Setti New Trends in Image Analysis and Processing–ICIAP 2017: ICIAP International …, 2017	8	2017
The music room F Morreale, R Masu, A De Angeli, P Rota CHI'13 Extended Abstracts on Human Factors in Computing Systems, 3099-3102, 2013	8	2013
Uncertainty-aware contrastive distillation for incremental semantic segmentation G Yang, E Fini, D Xu, P Rota, M Ding, M Nabi, X Alameda-Pineda, E Ricci IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022	7	2022
Monitoring acute lymphoblastic leukemia therapy with stacked denoising autoencoders J Scheithe, R Licandro, P Rota, M Reiter, M Diem, M Kampel Computer Aided Intervention and Diagnostics in Clinical and Medical Images …, 2019	7	2019

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