| We are not All Equal: Personalizing Models for Facial Expression Analysis with Transductive Parameter Transfer E Sangineto, G Zen, E Ricci, N Sebe ACM Multimedia, 2014 | 151 | 2014 |
| 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 | 149 | 2010 |
| 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 | 115 | 2016 |
| Self-learning object detectors for unlabeled videos using multi-task learning A Gaidon, ZEN Gloria, JAR Serrano US Patent 9,158,971, 2015 | 104 | 2015 |
| Are safer looking neighborhoods more lively? A multimodal investigation into urban life M De Nadai, RL Vieriu, G Zen, S Dragicevic, N Naik, M Caraviello, ... Proceedings of the 24th ACM international conference on Multimedia, 1127-1135, 2016 | 84 | 2016 |
| Unsupervised Domain Adaptation for Personalized Facial Emotion Recognition G Zen, E Sangineto, E Ricci, N Sebe International Conference on Multimodal Interaction (ICMI), 2014 | 59 | 2014 |
| A Prototype Learning Framework using EMD: Application to Complex Scenes Analysis E Ricci, G Zen, N Sebe, S Messelodi IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (3), 513-526, 2013 | 59 | 2013 |
| Earth mover's prototypes: A convex learning approach for discovering activity patterns in dynamic scenes G Zen, E Ricci CVPR 2011, 3225-3232, 2011 | 50 | 2011 |
| Computational understanding of visual interestingness beyond semantics: literature survey and analysis of covariates MG Constantin, M Redi, G Zen, B Ionescu ACM Computing Surveys (CSUR) 52 (2), 1-37, 2019 | 41 | 2019 |
| How to make an image more memorable? A deep style transfer approach A Siarohin, G Zen, C Majtanovic, X Alameda-Pineda, E Ricci, N Sebe Proceedings of the 2017 ACM on international conference on multimedia …, 2017 | 37 | 2017 |
| Pointer Activity As An Indicator Of Interestingness In Video P de Juan, Y Song, G ZEN US Patent App. 15/008,711, 2017 | 27 | 2017 |
| Daily Living Activities Recognition via Efficient High and Low Level Cues Combination and Fisher Kernel Representation N Rostamzadeh, G Zen, I Mironica, J Uijlings, N Sebe International Conference on Image Analysis and Processing (ICIAP), 2013 | 24 | 2013 |
| Mouse activity as an indicator of interestingness in video G Zen, P de Juan, Y Song, A Jaimes Proceedings of the 2016 ACM on International Conference on Multimedia …, 2016 | 23 | 2016 |
| Simultaneous Ground Metric Learning and Matrix Factorization with Earth Mover ' s Distance G Zen, E Ricci, N Sebe International Conference on Pattern Recognition (ICPR), 2014 | 21 | 2014 |
| Increasing image memorability with neural style transfer A Siarohin, G Zen, C Majtanovic, X Alameda-Pineda, E Ricci, N Sebe ACM Transactions on Multimedia Computing, Communications, and Applications …, 2019 | 19 | 2019 |
| Gesture-to-gesture translation in the wild via category-independent conditional maps Y Liu, M De Nadai, G Zen, N Sebe, B Lepri Proceedings of the 27th ACM international conference on multimedia, 1916-1924, 2019 | 18 | 2019 |
| Self-learning camera: Autonomous adaptation of object detectors to unlabeled video streams A Gaidon, G Zen, JA Rodriguez-Serrano arXiv preprint arXiv:1406.4296, 2014 | 15 | 2014 |
| Learning pedestrian trajectories with kernels E Ricci, F Tobia, G Zen International Conference on Pattern Recognition (ICPR), 149-152, 2010 | 13 | 2010 |
| Nobody likes mondays: foreground detection and behavioral patterns analysis in complex urban scenes G Zen, J Krumm, N Sebe, E Horvitz, A Kapoor Proceedings of the 4th ACM/IEEE international workshop on Analysis and …, 2013 | 10 | 2013 |
| Exploiting Sparse Representations for Robust Analysis of Noisy Complex Video Scenes G Zen, E Ricci, N Sebe European Conference on Computer Vision (ECCV), 2012 | 10 | 2012 |
Elisa RicciUniversity of Trento & Fondazione Bruno KesslerPreverjeni e-poštni naslov na unitn.it
