| Support vector machines N Cristianini, E Ricci Encyclopedia of algorithms, 928-932, 2008 | 2703 | 2008 |
| 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 | 1076 | 2007 |
| First order motion model for image animation A Siarohin, S Lathuilière, S Tulyakov, E Ricci, N Sebe Advances in neural information processing systems 32, 2019 | 965 | 2019 |
| 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 | 661 | 2015 |
| 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 | 584 | 2020 |
| 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 | 540 | 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 | 506 | 2017 |
| Animating arbitrary objects via deep motion transfer A Siarohin, S Lathuilière, S Tulyakov, E Ricci, N Sebe Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 387 | 2019 |
| 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 | 385 | 2016 |
| 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 | 378 | 2018 |
| 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 | 350 | 2017 |
| Modeling the background for incremental learning in semantic segmentation F Cermelli, M Mancini, SR Bulo, E Ricci, B Caputo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 301 | 2020 |
| 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 | 250 | 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 | 233 | 2014 |
| Unsupervised adversarial depth estimation using cycled generative networks A Pilzer, D Xu, M Puscas, E Ricci, N Sebe 2018 international conference on 3D vision (3DV), 587-595, 2018 | 205 | 2018 |
| Unsupervised domain adaptation using feature-whitening and consensus loss S Roy, A Siarohin, E Sangineto, SR Bulo, N Sebe, E Ricci Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 194 | 2019 |
| Transformer-based attention networks for continuous pixel-wise prediction G Yang, H Tang, M Ding, N Sebe, E Ricci Proceedings of the IEEE/CVF International Conference on Computer vision …, 2021 | 183 | 2021 |
| 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 | 183 | 2018 |
| 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 | 176 | 2015 |
| A unified objective for novel class discovery E Fini, E Sangineto, S Lathuilière, Z Zhong, M Nabi, E Ricci Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 170 | 2021 |
Nicu SebeUniversity of TrentoVerified email at unitn.it
