| Uncertainty estimates and multi-hypotheses networks for optical flow E Ilg, O Cicek, S Galesso, A Klein, O Makansi, F Hutter, T Brox Proceedings of the European Conference on Computer Vision (ECCV), 652-667, 2018 | 251 | 2018 |
| Essentials for class incremental learning S Mittal, S Galesso, T Brox Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 113 | 2021 |
| Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection S Galesso, M Argus, T Brox Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10* | 2023 |
| Probing Contextual Diversity for Dense Out-of-Distribution Detection S Galesso, MA Bravo, M Naouar, T Brox European Conference on Computer Vision, 492-509, 2022 | 3 | 2022 |
| Stima di feature spettrali di HRTF mediante modelli antropometrici non lineari per la resa di audio 3D S Spagnol, S Galesso, F Avanzini Proc. XXI Colloquium on Music Informatics (XXI CIM), 129-135, 2016 | 2 | 2016 |
| Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond S Galesso, P Schröppel, H Driss, T Brox arXiv preprint arXiv:2407.15739, 2024 | | 2024 |
| Compositional Servoing by Recombining Demonstrations M Argus, A Nayak, M Büchner, S Galesso, A Valada, T Brox 2024 IEEE International Conference on Robotics and Automation (ICRA), 7339-7346, 2024 | | 2024 |
| Supplementary: Essentials for Class Incremental Learning S Mittal, S Galesso, T Brox | | |
