دنبال کردن
Oisin Mac Aodha
Oisin Mac Aodha
Reader (Associate Professor), University of Edinburgh
ایمیل تأیید شده در ed.ac.uk - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
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
38142017
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
28982019
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
2104*2018
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
3632021
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
3432021
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
2642018
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
2542014
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
2542012
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
2092016
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
1892019
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
1872021
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
1562022
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
143*2021
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
1302012
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
932015
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
852018
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
772020
Learning to find occlusion regions‏
A Humayun, O Mac Aodha, GJ Brostow‏
CVPR 2011, 2161-2168, 2011‏
762011
Predicting depth from image data using a statistical model‏
C Godard, O MacAodha, G Brostow‏
US Patent 11,100,401, 2021‏
742021
My Text in Your Handwriting‏
TSF Haines, O Mac Aodha, GJ Brostow‏
ACM Transactions on Graphics (TOG) 35 (3), 26, 2016‏
732016
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20