Oisin Mac Aodha
Oisin Mac Aodha
Lecturer (Assistant 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
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
14972017
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
456*2019
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
321*2018
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
2012012
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
1402016
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
1242014
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
952018
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
942012
Learning to find occlusion regions
A Humayun, O Mac Aodha, GJ Brostow
CVPR 2011, 2161-2168, 2011
692011
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
672010
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
552015
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
arXiv preprint arXiv:1802.05190, 2018
302018
My Text in Your Handwriting
TSF Haines, O Mac Aodha, GJ Brostow
ACM Transactions on Graphics (TOG) 35 (3), 26, 2016
302016
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
29*2018
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
212014
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
202019
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
19*2018
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
192018
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
16*2013
The iwildcam 2018 challenge dataset
S Beery, G Van Horn, O Mac Aodha, P Perona
arXiv preprint arXiv:1904.05986, 2019
152019
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