Folgen
Oisin Mac Aodha
Oisin Mac Aodha
Lecturer (Assistant Professor), University of Edinburgh
Bestätigte E-Mail-Adresse bei ed.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
27932017
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
16422019
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
1085*2018
Patch based synthesis for single depth image super-resolution
O Mac Aodha, NDF Campbell, A Nair, GJ Brostow
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
2442012
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
1882018
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
1852014
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
1822016
The temporal opportunist: Self-supervised multi-frame monocular depth
J Watson, O Mac Aodha, V Prisacariu, G Brostow, M Firman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1352021
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
1182012
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
872019
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
86*2021
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
782021
Learning to find occlusion regions
A Humayun, O Mac Aodha, GJ Brostow
CVPR 2011, 2161-2168, 2011
782011
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
77*2018
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
76*2022
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
762015
Segmenting video into classes of algorithm-suitability
O Mac Aodha, GJ Brostow, M Pollefeys
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010
722010
My Text in Your Handwriting
TSF Haines, O Mac Aodha, GJ Brostow
ACM Transactions on Graphics (TOG) 35 (3), 26, 2016
552016
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
47*2021
Learning stereo from single images
J Watson, OM Aodha, D Turmukhambetov, GJ Brostow, M Firman
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
412020
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20