Exploring deep vision models for acoustic scene classification. O Mariotti, M Cord, O Schwander DCASE, 103-107, 2018 | 26 | 2018 |
ViewNet: Unsupervised Viewpoint Estimation From Conditional Generation O Mariotti, O Mac Aodha, H Bilen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 13 | 2021 |
Semi-supervised viewpoint estimation with geometry-aware conditional generation O Mariotti, H Bilen Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 12 | 2020 |
Explicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields T Walker, O Mariotti, A Vaxman, H Bilen arXiv preprint arXiv:2306.02956, 2023 | 9 | 2023 |
Improving semantic correspondence with viewpoint-guided spherical maps O Mariotti, O Mac Aodha, H Bilen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
ViewNeRF: Unsupervised Viewpoint Estimation Using Category-Level Neural Radiance Fields O Mariotti, O Mac Aodha, H Bilen The 33rd British Machine Vision Conference, 2022, 2022 | 2 | 2022 |
GeoGen: Geometry-Aware Generative Modeling via Signed Distance Functions S Esposito, Q Xu, K Kania, C Hewitt, O Mariotti, L Petikam, J Valentin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
Spatially-Adaptive Hash Encodings For Neural Surface Reconstruction T Walker, O Mariotti, A Vaxman, H Bilen arXiv preprint arXiv:2412.05179, 2024 | | 2024 |
Method for training neural network, system for training neural network, and neural network S Meier, O Mariotti, H Bilen, O MacAodha US Patent 12,136,230, 2024 | | 2024 |
Method for training a neural network to deliver the viewpoints of objects using unlabeled pairs of images, and the corresponding system S Meier, O Mariotti, H Bilen US Patent App. 17/406,695, 2022 | | 2022 |