| Deep learning for transient image reconstruction from ToF data E Buratto, A Simonetto, G Agresti, H Schäfer, P Zanuttigh Sensors 21 (6), 1962, 2021 | 15 | 2021 |
| Lightweight deep learning architecture for MPI correction and transient reconstruction A Simonetto, G Agresti, P Zanuttigh, H Schäfer IEEE Transactions on Computational Imaging 8, 721-732, 2022 | 4 | 2022 |
| A low memory footprint quantized neural network for depth completion of very sparse time-of-flight depth maps X Jiang, V Cambareri, G Agresti, CI Ugwu, A Simonetto, F Cardinaux, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 3 | 2022 |
| Semi-supervised deep learning techniques for spectrum reconstruction A Simonetto, P Zanuttigh, V Parret, P Sartor, A Gatto 2020 25th International Conference on Pattern Recognition (ICPR), 7767-7774, 2021 | 2 | 2021 |
| NIGHT--Non-Line-of-Sight Imaging from Indirect Time of Flight Data M Caligiuri, A Simonetto, G Agresti, P Zanuttigh arXiv preprint arXiv:2403.19376, 2024 | | 2024 |
| GOING FROM ITOF TO DTOF: METHODS FOR MPI CORRECTION AND TRANSIENT RECONSTRUCTION A Simonetto Università degli studi di Padova, 2023 | | 2023 |
| An imaging sensor, an image processing device and an image processing method P Sartor, A Gatto, V Parret, A Simonetto US Patent App. 17/774,868, 2022 | | 2022 |
| Semi-supervised deep learning techniques for spectrum reconstruction from RGB images A Simonetto | | |
