| A systematic assessment of embedded neural networks for object detection M Verucchi, G Brilli, D Sapienza, M Verasani, M Arena, F Gatti, ... 2020 25th IEEE International Conference on Emerging Technologies and Factory …, 2020 | 51 | 2020 |
| Dynamical properties of a gene-protein model D Sapienza, M Villani, R Serra Artificial Life and Evolutionary Computation: 12th Italian Workshop, WIVACE …, 2018 | 7 | 2018 |
| Deep image prior for medical image denoising, a study about parameter initialization D Sapienza, G Franchini, E Govi, M Bertogna, M Prato Frontiers in Applied Mathematics and Statistics 8, 995225, 2022 | 5 | 2022 |
| All you can embed: Natural language based vehicle retrieval with spatio-temporal transformers C Scribano, D Sapienza, G Franchini, M Verucchi, M Bertogna Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 5 | 2021 |
| Uncovering the background-induced bias in RGB based 6-DOF object pose estimation E Govi, D Sapienza, C Scribano, T Poppi, G Franchini, P Ardòn, ... arXiv preprint arXiv:2304.08230, 2023 | 1 | 2023 |
| Model-Based Underwater 6D Pose Estimation from RGB D Sapienza, E Govi, S Aldhaheri, M Bertogna, E Roura, È Pairet, ... IEEE Robotics and Automation Letters, 2023 | | 2023 |
| A comprehensive analysis of vision deep learning methods for object detection and 6D pose estimation: Real-time applications D Sapienza Università degli studi di Parma. Dipartimento di Scienze matematiche …, 2023 | | 2023 |
| Deep learning-assisted analysis of automobiles handling performances D Sapienza, D Paganelli, M Prato, M Bertogna, M Spallanzani Communications in Applied and Industrial Mathematics 13 (1), 78-95, 2022 | | 2022 |
Marko BertognaFull Professor, University of Modena, ItalyEmail verificata su unimore.it
