Jamie Shotton
Jamie Shotton
Microsoft Research
Bestätigte E-Mail-Adresse bei microsoft.com - Startseite
TitelZitiert vonJahr
Real-time human pose recognition in parts from single depth images.
J Shotton, AW Fitzgibbon, M Cook, T Sharp, M Finocchio, R Moore, ...
Cvpr 2, 3, 2011
33512011
KinectFusion: Real-time dense surface mapping and tracking
RA Newcombe, AJ Davison, S Izadi, P Kohli, O Hilliges, J Shotton, ...
Mixed and augmented reality (ISMAR), 2011 10th IEEE international symposium …, 2011
30742011
KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera
S Izadi, D Kim, O Hilliges, D Molyneaux, R Newcombe, P Kohli, J Shotton, ...
Proceedings of the 24th annual ACM symposium on User interface software and …, 2011
19332011
Real-time human pose recognition in parts from single depth images
J Shotton, T Sharp, A Kipman, A Fitzgibbon, M Finocchio, A Blake, ...
Communications of the ACM 56 (1), 116-124, 2013
17902013
Enhanced computer vision with microsoft kinect sensor: A review
J Han, L Shao, D Xu, J Shotton
IEEE transactions on cybernetics 43 (5), 1318-1334, 2013
13872013
Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation
J Shotton, J Winn, C Rother, A Criminisi
Computer Vision–ECCV 2006, 1-15, 2006
12972006
The multimodal brain tumor image segmentation benchmark (BRATS)
BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ...
IEEE transactions on medical imaging 34 (10), 1993-2024, 2014
11122014
Semantic texton forests for image categorization and segmentation
J Shotton, M Johnson, R Cipolla
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
11112008
Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context
J Shotton, J Winn, C Rother, A Criminisi
International Journal of Computer Vision 81 (1), 2-23, 2009
10892009
Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning
A Criminisi, J Shotton, E Konukoglu
Foundations and Trends® in Computer Graphics and Vision 7 (2–3), 81-227, 2012
8852012
Decision forests for computer vision and medical image analysis
A Criminisi, J Shotton
Springer Science & Business Media, 2013
5762013
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
5742008
Efficient human pose estimation from single depth images
J Shotton, R Girshick, A Fitzgibbon, T Sharp, M Cook, M Finocchio, ...
IEEE transactions on pattern analysis and machine intelligence 35 (12), 2821 …, 2012
4692012
Multiscale categorical object recognition using contour fragments
J Shotton, A Blake, R Cipolla
IEEE transactions on pattern analysis and machine intelligence 30 (7), 1270-1281, 2008
4222008
Efficient regression of general-activity human poses from depth images
R Girshick, J Shotton, P Kohli, A Criminisi, A Fitzgibbon
2011 International Conference on Computer Vision, 415-422, 2011
4082011
Contour-based learning for object detection
J Shotton, A Blake, R Cipolla
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 1 …, 2005
4022005
Regression forests for efficient anatomy detection and localization in CT studies
A Criminisi, J Shotton, D Robertson, E Konukoglu
International MICCAI Workshop on Medical Computer Vision, 106-117, 2010
3192010
The layout consistent random field for recognizing and segmenting partially occluded objects
J Winn, J Shotton
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
3162006
Accurate, robust, and flexible real-time hand tracking
T Sharp, C Keskin, D Robertson, J Taylor, J Shotton, D Kim, C Rhemann, ...
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing …, 2015
3052015
Scene coordinate regression forests for camera relocalization in RGB-D images
J Shotton, B Glocker, C Zach, S Izadi, A Criminisi, A Fitzgibbon
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
2852013
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