Oisin Mac Aodha

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Gabriel J. BrostowProfessor of Computer Science, University College LondonVerified email at cs.ucl.ac.uk
Clément GodardSenior Research Scientist, NianticVerified email at cs.ucl.ac.uk
Pietro PeronaCalifornia Institute of TechnologyVerified email at caltech.edu
Michael FirmanSenior Research Scientist at Niantic, Inc.Verified email at nianticlabs.com
Grant Van HornCaltechVerified email at caltech.edu
Serge BelongieProfessor of Computer Science, University of CopenhagenVerified email at di.ku.dk
Hartwig AdamDirector of Engineering, Google AIVerified email at google.com
Alexander ShepardiNaturalist, California Academy of SciencesVerified email at calacademy.org
Kate Elizabeth JonesProfessor Ecology and Biodiversity, University College LondonVerified email at ucl.ac.uk
Neill D.F. CampbellRoyal Society Industry Fellow and Reader (Associate Professor), University of BathVerified email at bath.ac.uk
Yang SongGoogle Inc.Verified email at google.com
Yisong YueCalifornia Institute of TechnologyVerified email at caltech.edu
Yuxin ChenUniversity of Chicago, Assistant Professor of Computer ScienceVerified email at uchicago.edu
Ahmad HumayunGeorgia Institute of TechnologyVerified email at cc.gatech.edu
Marc PollefeysDirector of Science, Microsoft HoloLens; Professor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Yin CuiResearch Scientist, GoogleVerified email at google.com
Simon JulierUCLVerified email at cs.ucl.ac.uk
Jan KautzVice President of Research, NVIDIA ResearchVerified email at nvidia.com
Elijah ColePh.D. Student at CaltechVerified email at caltech.edu
Rory GibbCMMID, London School of Hygiene and Tropical MedicineVerified email at lshtm.ac.uk

Oisin Mac Aodha

Lecturer (Assistant Professor), University of Edinburgh

Verified email at ed.ac.uk - Homepage

Computer Vision Machine Learning Machine Teaching Active Learning


Title Sort by citations Sort by year Sort by 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	1805	2017
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	686*	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	469*	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	208	2012
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	144	2016
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	138	2014
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	116	2018
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	100	2012
Learning to find occlusion regions A Humayun, O Mac Aodha, GJ Brostow CVPR 2011, 2161-2168, 2011	72	2011
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	68	2010
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	58	2015
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	37*	2018
My Text in Your Handwriting TSF Haines, O Mac Aodha, GJ Brostow ACM Transactions on Graphics (TOG) 35 (3), 26, 2016	35	2016
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	33	2019
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	31	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	24	2014
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	23*	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	23	2018
The iwildcam 2018 challenge dataset S Beery, G Van Horn, O Mac Aodha, P Perona arXiv preprint arXiv:1904.05986, 2019	21	2019
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	16	2018

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