Elisa Ricci

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22 articles

5 articles

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Coauteurs

Nicu SebeUniversity of TrentoAdresse e-mail validée de unitn.it
Samuel Rota BulòResearch Scientist, FacebookAdresse e-mail validée de fb.com
Xavier Alameda-PinedaResearch Scientist, Perception Team, InriaAdresse e-mail validée de inria.fr
Dan XuAssistant Professor, HKUST - VGG, University of OxfordAdresse e-mail validée de robots.ox.ac.uk
Lorenzo PorziFacebookAdresse e-mail validée de fb.com
Yan YanIllinois Institute of TechnologyAdresse e-mail validée de umich.edu
Ramanathan SubramanianAssociate Professor, University of CanberraAdresse e-mail validée de canberra.edu.au
Barbara CaputoPolitecnico di Torino & Italian Institute of TechnologyAdresse e-mail validée de polito.it
Gloria ZenUniversity of TrentoAdresse e-mail validée de disi.unitn.it
Massimiliano ManciniUniversity of TübingenAdresse e-mail validée de uni-tuebingen.de
Stéphane LathuilièreTélécom Paris, Assistant ProfessorAdresse e-mail validée de unitn.it
Paolo ValigiProfessor of Control System and Autonomous Robotics, University of PerugiaAdresse e-mail validée de unipg.it
Aliaksandr Siarohinunitn.itAdresse e-mail validée de unitn.it
Xiaogang WangAssociate Professor of Electronic Engineering, the Chinese University of Hong KongAdresse e-mail validée de ee.cuhk.edu.hk
Wanli Ouyang (欧阳万里)Associate Professor at The University of SydneyAdresse e-mail validée de sydney.edu.au
Enver SanginetoUniversità di TrentoAdresse e-mail validée de unitn.it
Sergey TulyakovSnap ResearchAdresse e-mail validée de snap.com
Jingkuan Song（宋井宽）Columbia University, University of Electronic Science and Technology of ChinaAdresse e-mail validée de columbia.edu
Gabriele CostanteAssistant Professor at the Department of Engineering, University of PerugiaAdresse e-mail validée de unipg.it
Stefano MesselodiResearcher at Fondazione Bruno Kessler, Trento, ItalyAdresse e-mail validée de fbk.eu

Elisa Ricci

University of Trento & Fondazione Bruno Kessler

Adresse e-mail validée de fbk.eu - Page d'accueil

Computer Vision Deep Learning Robotics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Retinal blood vessel segmentation using line operators and support vector classification E Ricci, R Perfetti IEEE transactions on medical imaging 26 (10), 1357-1365, 2007	813	2007
Learning deep representations of appearance and motion for anomalous event detection D Xu, E Ricci, Y Yan, J Song, N Sebe arXiv preprint arXiv:1510.01553, 2015	333	2015
Multi-scale continuous crfs as sequential deep networks for monocular depth estimation D Xu, E Ricci, W Ouyang, X Wang, N Sebe Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	274	2017
Detecting anomalous events in videos by learning deep representations of appearance and motion D Xu, Y Yan, E Ricci, N Sebe Computer Vision and Image Understanding 156, 117-127, 2017	207	2017
Multitask linear discriminant analysis for view invariant action recognition Y Yan, E Ricci, R Subramanian, G Liu, N Sebe IEEE Transactions on Image Processing 23 (12), 5599-5611, 2014	204	2014
Self-adaptive matrix completion for heart rate estimation from face videos under realistic conditions S Tulyakov, X Alameda-Pineda, E Ricci, L Yin, JF Cohn, N Sebe Proceedings of the IEEE conference on computer vision and pattern …, 2016	187	2016
Autodial: Automatic domain alignment layers FM Carlucci, L Porzi, B Caputo, E Ricci, SR Bulo 2017 IEEE international conference on computer vision (ICCV), 5077-5085, 2017	184*	2017
Structured attention guided convolutional neural fields for monocular depth estimation D Xu, W Wang, H Tang, H Liu, N Sebe, E Ricci Proceedings of the IEEE conference on computer vision and pattern …, 2018	154	2018
Egocentric daily activity recognition via multitask clustering Y Yan, E Ricci, G Liu, N Sebe IEEE Transactions on Image Processing 24 (10), 2984-2995, 2015	137	2015
No matter where you are: Flexible graph-guided multi-task learning for multi-view head pose classification under target motion Y Yan, E Ricci, R Subramanian, O Lanz, N Sebe Proceedings of the IEEE international conference on computer vision, 1177-1184, 2013	130	2013
A multi-task learning framework for head pose estimation under target motion Y Yan, E Ricci, R Subramanian, G Liu, O Lanz, N Sebe IEEE transactions on pattern analysis and machine intelligence 38 (6), 1070-1083, 2015	115	2015
Learning cross-modal deep representations for robust pedestrian detection D Xu, W Ouyang, E Ricci, X Wang, N Sebe Proceedings of the IEEE conference on computer vision and pattern …, 2017	114	2017
Cellular neural networks with virtual template expansion for retinal vessel segmentation R Perfetti, E Ricci, D Casali, G Costantini IEEE Transactions on Circuits and Systems II: Express Briefs 54 (2), 141-145, 2007	108	2007
Salsa: A novel dataset for multimodal group behavior analysis X Alameda-Pineda, J Staiano, R Subramanian, L Batrinca, E Ricci, ... IEEE transactions on pattern analysis and machine intelligence 38 (8), 1707-1720, 2015	107	2015
Space speaks: towards socially and personality aware visual surveillance G Zen, B Lepri, E Ricci, O Lanz Proceedings of the 1st ACM international workshop on Multimodal pervasive …, 2010	105	2010
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	93	2020
We are not all equal: Personalizing models for facial expression analysis with transductive parameter transfer E Sangineto, G Zen, E Ricci, N Sebe Proceedings of the 22nd ACM international conference on Multimedia, 357-366, 2014	92	2014
Boosting domain adaptation by discovering latent domains M Mancini, L Porzi, SR Bulo, B Caputo, E Ricci Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	82	2018
Learning personalized models for facial expression analysis and gesture recognition G Zen, L Porzi, E Sangineto, E Ricci, N Sebe IEEE Transactions on Multimedia 18 (4), 775-788, 2016	82	2016
Predicting and understanding urban perception with convolutional neural networks L Porzi, S Rota Bulò, B Lepri, E Ricci Proceedings of the 23rd ACM international conference on Multimedia, 139-148, 2015	80	2015

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