Oisin Mac Aodha
Oisin Mac Aodha
Assistant Professor, University of Edinburgh
Verified email at ed.ac.uk - Homepage
TitleCited byYear
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
5922017
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
1632012
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
742012
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
692016
Learning to find occlusion regions
A Humayun, O Mac Aodha, GJ Brostow
CVPR 2011, 2161-2168, 2011
622011
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
612014
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
59*2018
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
592010
Digging into self-supervised monocular depth estimation
C Godard, O Mac Aodha, M Firman, G Brostow
arXiv preprint arXiv:1806.01260, 2018
302018
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
292018
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
232015
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
162014
My Text in Your Handwriting
TSF Haines, O Mac Aodha, GJ Brostow
ACM Transactions on Graphics (TOG) 35 (3), 26, 2016
152016
Revisiting example dependent cost-sensitive learning with decision trees
O Mac Aodha, GJ Brostow
Proceedings of the IEEE International Conference on Computer Vision, 193-200, 2013
142013
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
122018
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, 1476-1486, 2018
92018
It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data
MR Ronchi, O Mac Aodha, R Eng, P Perona
arXiv preprint arXiv:1805.06880, 2018
82018
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
52018
Teaching multiple concepts to a forgetful learner
A Hunziker, Y Chen, O Mac Aodha, MG Rodriguez, A Krause, P Perona, ...
arXiv preprint arXiv:1805.08322, 2018
32018
Context Embedding Networks
K ho Kim, O Mac Aodha, P Perona
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018
32018
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Articles 1–20