| Performance measures and a data set for multi-target, multi-camera tracking E Ristani, F Solera, R Zou, R Cucchiara, C Tomasi European conference on computer vision, 17-35, 2016 | 3124 | 2016 |
| Predicting the Driver's Focus of Attention: the DR(eye)VE Project A Palazzi, D Abati, S Calderara, F Solera, R Cucchiara IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 | 320 | 2018 |
| Socially Constrained Structural Learning for Groups Detection in Crowd F Solera, S Calderara, R Cucchiara IEEE Transaction on Pattern Analysis and Machine Intelligence, 2015 | 134 | 2015 |
| DR(eye)VE: a Dataset for Attention-Based Tasks With Applications to Autonomous and Assisted Driving S Alletto, A Palazzi, F Solera, S Calderara, R Cucchiara Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 130 | 2016 |
| Learning to Divide and Conquer for Online Multi-Target Tracking F Solera, S Calderara, R Cucchiara International Conference on Computer Vision (ICCV), 2015 | 74 | 2015 |
| From Ego to Nos-Vision: Detecting Social Relationships in First-Person Views S Alletto, G Serra, S Calderara, F Solera, R Cucchiara Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 62 | 2014 |
| Learning Where to Attend Like a Human Driver A Palazzi, F Solera, S Calderara, S Alletto, R Cucchiara IEEE Intelligent Vehicles Symposium, 2017 | 50* | 2017 |
| Structured Learning for Detection of Social Groups in Crowd F Solera, S Calderara, R Cucchiara Advanced Video and Signal-Based Surveillance, 2013 | 48 | 2013 |
| Tracking Social Groups Within and Across Cameras F Solera, S Calderara, E Ristani, C Tomasi, R Cucchiara IEEE Transactions on Circuits and Systems for Video Technology, 2016 | 41 | 2016 |
| Towards the Evaluation of Reproducible Robustness in Tracking-By-Detection F Solera, C Simone, R Cucchiara IEEE International Conference on Advanced Video and Signal-based Surveillance, 2015 | 35 | 2015 |
| Learning to Identify Leaders in Crowd F Solera, S Calderara, R Cucchiara Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 17 | 2015 |
| Circumventing the curse of dimensionality in magnetic resonance fingerprinting through a deep learning approach M Barbieri, PK Lee, L Brizi, E Giampieri, F Solera, G Castellani, ... NMR in Biomedicine 35 (4), e4670, 2022 | 15 | 2022 |
| A deep learning approach for magnetic resonance fingerprinting: Scaling capabilities and good training practices investigated by simulations. M Barbieri, L Brizi, E Giampieri, F Solera, DN Manners, G Castellani, ... Physica Medica 89, 80-92, 2021 | 9 | 2021 |
| From Groups to Leaders and Back F Solera, S Calderara, R Cucchiara Group and Crowd Behavior for Computer Vision, 2017 | 5 | 2017 |
| A statistical test for joint distributions equivalence F Solera, A Palazzi arXiv preprint arXiv:1607.07270, 2016 | 2 | 2016 |
| Modeling Social Interactions in Crowd F Solera https://morethesis.unimore.it/theses/available/etd-03122017-165120/, 2017 | | 2017 |
Rita CucchiaraUniversità degli Studi di Modena e Reggio Emilia, ItaliaEmail verificata su unimore.it
