Gabriel J. Brostow
Gabriel J. Brostow
Professor of Computer Science, University College London
Verified email at cs.ucl.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
5852017
Segmentation and recognition using structure from motion point clouds
GJ Brostow, J Shotton, J Fauqueur, R Cipolla
European conference on computer vision, 44-57, 2008
5832008
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
5022009
Unsupervised bayesian detection of independent motion in crowds
GJ Brostow, R Cipolla
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
4532006
Automatic joint parameter estimation from magnetic motion capture data
JF O'Brien, RE Bodenheimer Jr, GJ Brostow, JK Hodgins
Georgia Institute of Technology, 1999
2511999
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
1802007
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
1622012
Unstructured video-based rendering: Interactive exploration of casually captured videos
L Ballan, GJ Brostow, J Puwein, M Pollefeys
ACM Transactions on Graphics (TOG) 29 (4), 87, 2010
1552010
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
1502017
Capturing time-of-flight data with confidence
M Reynolds, J Doboš, L Peel, T Weyrich, GJ Brostow
CVPR 2011, 945-952, 2011
1062011
Image-based motion blur for stop motion animation
GJ Brostow, I Essa
Proceedings of the 28th annual conference on Computer graphics and …, 2001
1042001
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
802015
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
712016
Novel skeletal representation for articulated creatures
GJ Brostow, I Essa, D Steedly, V Kwatra
European Conference on Computer Vision, 66-78, 2004
682004
Learning to find occlusion regions
A Humayun, O Mac Aodha, GJ Brostow
CVPR 2011, 2161-2168, 2011
622011
Hole filling through photomontage
M Wilczkowiak, GJ Brostow, B Tordoff, R Cipolla
BMVC 2005-Proceedings of the British Machine Vision Conference 2005, 2005
622005
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
612014
Segmenting video into classes of algorithm-suitability
O Mac Aodha, GJ Brostow, M Pollefeys
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
592010
Semantic photo synthesis
M Johnson, GJ Brostow, J Shotton, O Arandjelovic, V Kwatra, R Cipolla
Computer Graphics Forum 25 (3), 407-413, 2006
572006
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