| Deep learning-based hyperspectral image reconstruction from emulated and real computed tomography imaging spectrometer data M Zimmermann, S Amann, M Mel, T Haist, A Gatto Optical Engineering 61 (5), 053103-053103, 2022 | 13 | 2022 |
| Incremental and multi-task learning strategies for coarse-to-fine semantic segmentation M Mel, U Michieli, P Zanuttigh Technologies 8 (1), 1, 2019 | 13 | 2019 |
| End-to-end learning for joint depth and image reconstruction from diffracted rotation M Mel, M Siddiqui, P Zanuttigh The Visual Computer 40 (9), 5961-5977, 2024 | 9 | 2024 |
| Joint Reconstruction and Super Resolution of Hyper-Spectral CTIS Images M Mel, A Gatto, P Zanuttigh British Machine Vision Conference (BMVC), 2022 | 8 | 2022 |
| HoloADMM: High-Quality Holographic Complex Field Recovery M Mel, P Springer, P Zanuttigh, Z Haitao, A Gatto European Conference on Computer Vision, 125-141, 2024 | | 2024 |
| Joint Reconstruction and Spatial Super-resolution of Hyper-Spectral CTIS Images via Multi-Scale Refinement M Mel, A Gatto, P Zanuttigh IEEE Transactions on Computational Imaging, 2024 | | 2024 |
| APPARATUSES AND METHODS FOR COMPUTER TOMOGRAPHY IMAGING SPECTROMETRY S AMANN, A GATTO, M MEL | | 2024 |
| Material Characterization using a Compact Computed Tomography Imaging Spectrometer with Super-resolution Capability S Amann, M Mel, P Zanuttigh, T Haist, M Kamm, A Gatto Proceedings of the 6th International Conference on Optical Characterization …, 2023 | | 2023 |
| CAMERA, METHOD AND IMAGE PROCESSING METHOD M SIDDIQUI, M MEL | | 2023 |
Pietro ZanuttighUniversity of PadovaEmail được xác minh tại dei.unipd.it