Paolo Rota
Paolo Rota
Assistant Professor (RTDa) @ University of Trento
Verified email at - Homepage
Cited by
Cited by
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
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
Curriculum learning: A survey
P Soviany, RT Ionescu, P Rota, N Sebe
International Journal of Computer Vision, 1-40, 2022
Particles Cross-Influence for Entity Grouping
P Rota, H Ullah, N Conci, N Sebe, FGB De Natale
Eu.Si.P.Co., 2013
Collaborative creativity: The music room
F Morreale, A De Angeli, R Masu, P Rota, N Conci
Personal and Ubiquitous Computing 18 (5), 1187-1199, 2014
Real time detection of social interactions in surveillance video
P Rota, N Conci, N Sebe
European Conference on Computer Vision, 111-120, 2012
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
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
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
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
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
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
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
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
Indirect match highlights detection with deep convolutional neural networks
M Godi, P Rota, F Setti
International Conference on Image Analysis and Processing, 87-96, 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
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
Cut quality estimation in industrial laser cutting machines: a machine learning approach
G Santolini, P Rota, D Gandolfi, P Bosetti
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
The Role of Machine Learning in Medical Data Analysis. A Case Study: Flow Cytometry.
P Rota, F Kleber, M Reiter, S Groeneveld-Krentz, M Kampel
VISIGRAPP (3: VISAPP), 305-312, 2016
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
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