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Oisin Mac Aodha
Oisin Mac Aodha
Reader (Associate Professor), University of Edinburgh
Verified email at ed.ac.uk - Homepage
Title
Cited by
Cited by
Year
Unsupervised monocular depth estimation with left-right consistency
C Godard, O Mac Aodha, GJ Brostow
2017 IEEE conference on computer vision and pattern recognition (CVPR), 6602 …, 2017
46372017
Digging into self-supervised monocular depth estimation
C Godard, O Mac Aodha, M Firman, GJ Brostow
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
40522019
The inaturalist species classification and detection dataset
G Van Horn, O Mac Aodha, Y Song, Y Cui, C Sun, A Shepard, H Adam, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
3075*2018
Fine-grained image analysis with deep learning: A survey
XS Wei, YZ Song, O Mac Aodha, J Wu, Y Peng, J Tang, J Yang, ...
IEEE transactions on pattern analysis and machine intelligence 44 (12), 8927 …, 2021
7012021
The temporal opportunist: Self-supervised multi-frame monocular depth
J Watson, O Mac Aodha, V Prisacariu, G Brostow, M Firman
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2021
5412021
Bat detective—Deep learning tools for bat acoustic signal detection
O Mac Aodha, R Gibb, KE Barlow, E Browning, M Firman, R Freeman, ...
PLoS computational biology 14 (3), e1005995, 2018
3432018
Benchmarking representation learning for natural world image collections
G Van Horn, E Cole, S Beery, K Wilber, S Belongie, O Mac Aodha
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
3382021
Presence-only geographical priors for fine-grained image classification
O Mac Aodha, E Cole, P Perona
2019 IEEE/CVF international conference on computer vision (ICCV), 9595-9605, 2019
2892019
Hierarchical subquery evaluation for active learning on a graph
O Mac Aodha, NDF Campbell, J Kautz, GJ Brostow
Proceedings of the IEEE conference on computer vision and pattern …, 2014
2752014
Self-supervised multimodal learning: A survey
Y Zong, O Mac Aodha, TM Hospedales
IEEE Transactions on Pattern Analysis and Machine Intelligence 47 (7), 5299-5318, 2024
2662024
Patch based synthesis for single depth image super-resolution
O Mac Aodha, NDF Campbell, A Nair, GJ Brostow
European conference on computer vision, 71-84, 2012
2582012
Structured prediction of unobserved voxels from a single depth image
M Firman, O Mac Aodha, S Julier, GJ Brostow
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
232*2016
Multi-label learning from single positive labels
E Cole, O Mac Aodha, T Lorieul, P Perona, D Morris, N Jojic
arXiv preprint arXiv:2106.09708, 2021
2132021
When does contrastive visual representation learning work?
E Cole, X Yang, K Wilber, O Mac Aodha, S Belongie
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2022
2042022
The potential for AI to revolutionize conservation: a horizon scan
SA Reynolds, S Beery, N Burgess, M Burgman, SHM Butchart, SJ Cooke, ...
Trends in ecology & evolution 40 (2), 191-207, 2025
1502025
Learning a confidence measure for optical flow
O Mac Aodha, A Humayun, M Pollefeys, GJ Brostow
IEEE transactions on pattern analysis and machine intelligence 35 (5), 1107-1120, 2012
1372012
Harnessing artificial intelligence to fill global shortfalls in biodiversity knowledge
LJ Pollock, J Kitzes, S Beery, KM Gaynor, MA Jarzyna, O Mac Aodha, ...
Nature Reviews Biodiversity 1 (3), 166-182, 2025
117*2025
Spatial implicit neural representations for global-scale species mapping
E Cole, G Van Horn, C Lange, A Shepard, P Leary, P Perona, S Loarie, ...
International conference on machine learning, 6320-6342, 2023
1152023
Teaching categories to human learners with visual explanations
O Mac Aodha, S Su, Y Chen, P Perona, Y Yue
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 3820-3828, 2018
105*2018
Learning stereo from single images
J Watson, OM Aodha, D Turmukhambetov, GJ Brostow, M Firman
European Conference on Computer Vision, 722-740, 2020
1022020
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