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Gabriel J. Brostow
Gabriel J. Brostow
Professor of Computer Science, University College London
Zweryfikowany adres z cs.ucl.ac.uk - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
37402017
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
27242019
Semantic object classes in video: A high-definition ground truth database
GJ Brostow, J Fauqueur, R Cipolla
Pattern recognition letters 30 (2), 88-97, 2009
17632009
Segmentation and recognition using structure from motion point clouds
GJ Brostow, J Shotton, J Fauqueur, R Cipolla
Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008
13242008
Harmonic networks: Deep translation and rotation equivariance
DE Worrall, SJ Garbin, D Turmukhambetov, GJ Brostow
Proceedings of the IEEE conference on computer vision and pattern …, 2017
8372017
Unsupervised bayesian detection of independent motion in crowds
GJ Brostow, R Cipolla
2006 IEEE computer society conference on computer vision and pattern …, 2006
6022006
Deep Blending for Free-Viewpoint Image-Based Rendering
P Hedman, J Philip, T Price, JM Frahm, G Drettakis, G Brostow
ACM Transactions on Graphics 37 (6), 2018
4862018
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
3132021
Automatic joint parameter estimation from magnetic motion capture data
JF O'Brien, RE Bodenheimer, GJ Brostow, JK Hodgins
arXiv preprint arXiv:2303.10532, 2023
3042023
Self-supervised monocular depth hints
J Watson, M Firman, GJ Brostow, D Turmukhambetov
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
3022019
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
2602018
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
2552012
Hierarchical subquery evaluation for active learning on a graph
O Mac Aodha, NDF Campbell, J Kautz, GJ Brostow
CVPR, IEEE Conference on Computer Vision and Pattern Recognition 2, 564 - 571, 2014
2512014
Unstructured video-based rendering: Interactive exploration of casually captured videos
L Ballan, GJ Brostow, J Puwein, M Pollefeys
ACM SIGGRAPH 2010 papers, 1-11, 2010
2382010
Non-rigid photometric stereo with colored lights
C Hernández, G Vogiatzis, GJ Brostow, B Stenger, R Cipolla
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
2382007
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
2072016
RAPter: rebuilding man-made scenes with regular arrangements of planes.
A Monszpart, N Mellado, GJ Brostow, NJ Mitra
ACM Trans. Graph. 34 (4), 103:1-103:12, 2015
2042015
Cubenet: Equivariance to 3d rotation and translation
D Worrall, G Brostow
Proceedings of the European Conference on Computer Vision (ECCV), 567-584, 2018
1682018
Scalable inside-out image-based rendering
P Hedman, T Ritschel, G Drettakis, G Brostow
ACM Transactions on Graphics (TOG) 35 (6), 1-11, 2016
1682016
Learning to remove soft shadows
M Gryka, M Terry, GJ Brostow
ACM Transactions on Graphics (TOG) 34 (5), 1-15, 2015
1522015
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