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Octave Mariotti
Octave Mariotti
Verified email at ed.ac.uk - Homepage
Title
Cited by
Cited by
Year
Exploring deep vision models for acoustic scene classification.
O Mariotti, M Cord, O Schwander
DCASE, 103-107, 2018
262018
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
132021
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
122020
Explicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields
T Walker, O Mariotti, A Vaxman, H Bilen
arXiv preprint arXiv:2306.02956, 2023
92023
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
82024
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
22022
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
12024
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
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