| 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 | 802 | 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 | 317 | 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 | 262 | 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 | 203 | 2014 |
| 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 | 192 | 2017 |
| 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 | 182 | 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 | 172* | 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 | 141 | 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 | 136 | 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 | 111 | 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 | 109 | 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 | 107 | 2007 |
| 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 | 104 | 2010 |
| 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 | 99 | 2015 |
| 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 | 89 | 2014 |
| 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 | 81 | 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 | 77 | 2015 |
| A smart watch-based gesture recognition system for assisting people with visual impairments L Porzi, S Messelodi, CM Modena, E Ricci Proceedings of the 3rd ACM international workshop on Interactive multimedia …, 2013 | 76 | 2013 |
| 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 | 75 | 2020 |
Nicu SebeUniversity of TrentoVerified email at unitn.it
