Articles avec mandats d'accès public - Oisin Mac AodhaEn savoir plus
Disponibles quelque part : 31
Unsupervised monocular depth estimation with left-right consistency
C Godard, O Mac Aodha, GJ Brostow
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Exigences : UK Engineering and Physical Sciences Research Council
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
Exigences : National Natural Science Foundation of China
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
Exigences : UK Engineering and Physical Sciences Research Council, UK Natural …
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
Exigences : UK Engineering and Physical Sciences Research Council
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
Exigences : UK Engineering and Physical Sciences Research Council, European Commission
Presence-only geographical priors for fine-grained image classification
O Mac Aodha, E Cole, P Perona
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Exigences : US National Science Foundation
When does contrastive visual representation learning work?
E Cole, X Yang, K Wilber, O Mac Aodha, S Belongie
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Exigences : US National Science Foundation
Multi-label learning from single positive labels
E Cole, O Mac Aodha, T Lorieul, P Perona, D Morris, N Jojic
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Exigences : US National Science Foundation
Becoming the expert-interactive multi-class machine teaching
E Johns, O Mac Aodha, GJ Brostow
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Exigences : UK Engineering and Physical Sciences Research Council
Teaching categories to human learners with visual explanations
O Mac Aodha, S Su, Y Chen, P Perona, Y Yue
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Exigences : Fonds national suisse
My Text in Your Handwriting
TSF Haines, O Mac Aodha, GJ Brostow
ACM Transactions on Graphics (TOG) 35 (3), 26, 2016
Exigences : UK Engineering and Physical Sciences Research Council, European Commission
Teaching multiple concepts to a forgetful learner
A Hunziker, Y Chen, O Mac Aodha, M Gomez Rodriguez, A Krause, ...
Advances in neural information processing systems 32, 2019
Exigences : US National Science Foundation, Fonds national suisse
Understanding the role of adaptivity in machine teaching: The case of version space learners
Y Chen, A Singla, O Mac Aodha, P Perona, Y Yue
Advances in Neural Information Processing Systems 31, 2018
Exigences : Fonds national suisse
Geocoding of trees from street addresses and street-level images
D Laumer, N Lang, N van Doorn, O Mac Aodha, P Perona, JD Wegner
ISPRS Journal of Photogrammetry and Remote Sensing 162, 125-136, 2020
Exigences : Fonds national suisse, US Department of Agriculture
Self-supervised multimodal learning: A survey
Y Zong, O Mac Aodha, T Hospedales
arXiv preprint arXiv:2304.01008, 2023
Exigences : UK Research & Innovation
Putting the scientist in the loop--Accelerating scientific progress with interactive machine learning
O Mac Aodha, V Stathopoulos, GJ Brostow, M Terry, M Girolami, ...
2014 22nd International Conference on Pattern Recognition, 9-17, 2014
Exigences : UK Engineering and Physical Sciences Research Council
Near-optimal machine teaching via explanatory teaching sets
Y Chen, O Mac Aodha, S Su, P Perona, Y Yue
International Conference on Artificial Intelligence and Statistics, 1970-1978, 2018
Exigences : Fonds national suisse
Shazam for bats: Internet of Things for continuous real‐time biodiversity monitoring
S Gallacher, D Wilson, A Fairbrass, D Turmukhambetov, M Firman, ...
IET Smart Cities 3 (3), 171-183, 2021
Exigences : UK Engineering and Physical Sciences Research Council
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
Exigences : US National Science Foundation
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
Exigences : UK Engineering and Physical Sciences Research Council
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