| One thousand and one hours: Self-driving motion prediction dataset J Houston, G Zuidhof, L Bergamini, Y Ye, L Chen, A Jain, S Omari, ... Conference on Robot Learning, 409-418, 2021 | 592 | 2021 |
| Urban driver: Learning to drive from real-world demonstrations using policy gradients O Scheel, L Bergamini, M Wolczyk, B Osiński, P Ondruska Conference on Robot Learning, 718-728, 2022 | 175 | 2022 |
| Simnet: Learning reactive self-driving simulations from real-world observations L Bergamini, Y Ye, O Scheel, L Chen, C Hu, L Del Pero, B Osiński, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 5119-5125, 2021 | 144 | 2021 |
| Robust re-identification by multiple views knowledge distillation A Porrello, L Bergamini, S Calderara Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 102 | 2020 |
| Deep learning-based method for vision-guided robotic grasping of unknown objects L Bergamini, M Sposato, M Pellicciari, M Peruzzini, S Calderara, ... Advanced Engineering Informatics 44, 101052, 2020 | 74 | 2020 |
| Multi-views embedding for cattle re-identification L Bergamini, A Porrello, AC Dondona, E Del Negro, M Mattioli, N D'alterio, ... 2018 14th international conference on signal-image technology & internet …, 2018 | 60 | 2018 |
| Extracting accurate long-term behavior changes from a large pig dataset L Bergamini, S Pini, A Simoni, R Vezzani, S Calderara, RBD Eath, ... 16th International Joint Conference on Computer Vision, Imaging and Computer …, 2021 | 48 | 2021 |
| Unsupervised vehicle re-identification using triplet networks P Antonio Marin-Reyes, A Palazzi, L Bergamini, S Calderara, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 40 | 2018 |
| End-to-end 6-dof object pose estimation through differentiable rasterization A Palazzi, L Bergamini, S Calderara, R Cucchiara Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 38 | 2018 |
| Scoring pleurisy in slaughtered pigs using convolutional neural networks AR Trachtman, L Bergamini, A Palazzi, A Porrello, ... Veterinary research 51, 1-9, 2020 | 36 | 2020 |
| Gait‐based diplegia classification using LSMT networks A Ferrari, L Bergamini, G Guerzoni, S Calderara, N Bicocchi, G Vitetta, ... Journal of healthcare engineering 2019 (1), 3796898, 2019 | 31 | 2019 |
| Warp and learn: Novel views generation for vehicles and other objects A Palazzi, L Bergamini, S Calderara, R Cucchiara IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (4), 2216-2227, 2020 | 13 | 2020 |
| Signal processing and machine learning for diplegia classification L Bergamini, S Calderara, N Bicocchi, A Ferrari, G Vitetta New Trends in Image Analysis and Processing–ICIAP 2017: ICIAP International …, 2017 | 7 | 2017 |
| Deep learning-based method for vision-guided robotic grasping of unknown objects L Bergamini, M Sposato, M Peruzzini, R Vezzani, M Pellicciari Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0 …, 2018 | 6 | 2018 |
| Future urban scenes generation through vehicles synthesis A Simoni, L Bergamini, A Palazzi, S Calderara, R Cucchiara 2020 25th International Conference on Pattern Recognition (ICPR), 4552-4559, 2021 | 4 | 2021 |
| Segmentation guided scoring of pathological lesions in swine through cnns L Bergamini, AR Trachtman, A Palazzi, ED Negro, ... New Trends in Image Analysis and Processing–ICIAP 2019: ICIAP International …, 2019 | 3 | 2019 |
| Tecniche di Deep Learning applicate all'allevamento L Bergamini Università degli studi di Modena e Reggio Emilia, 2021 | | 2021 |
| Research Article Gait-Based Diplegia Classification Using LSMT Networks A Ferrari, L Bergamini, G Guerzoni, S Calderara, N Bicocchi, G Vitetta, ... | | 2019 |
Simone CalderaraUniversity of Modena and Reggio EmiliaVerified email at unimore.it
