| Real-time human pose recognition in parts from single depth images J Shotton, A Fitzgibbon, M Cook, T Sharp, M Finocchio, R Moore, ... CVPR 2011, 1297-1304, 2011 | 4051 | 2011 |
| 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 | 3959 | 2011 |
| 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 | 2375 | 2011 |
| 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 | 2347 | 2014 |
| 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 | 2137 | 2013 |
| 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 | 1629 | 2013 |
| 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 | 1480 | 2006 |
| 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 | 1284 | 2008 |
| 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 | 1271 | 2009 |
| Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning A Criminisi, J Shotton, E Konukoglu Now 7, 81-227, 2012 | 886 | 2012 |
| 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 | 824 | 2008 |
| Decision forests for computer vision and medical image analysis A Criminisi, J Shotton Springer Science & Business Media, 2013 | 714 | 2013 |
| 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 | 595 | 2012 |
| 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 | 487 | 2013 |
| 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 | 483 | 2011 |
| 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 | 469 | 2008 |
| 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 | 436 | 2015 |
| 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 | 435 | 2005 |
| Learning 6d object pose estimation using 3d object coordinates E Brachmann, A Krull, F Michel, S Gumhold, J Shotton, C Rother European conference on computer vision, 536-551, 2014 | 425 | 2014 |
| 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 | 362 | 2010 |
Andrew FitzgibbonMicrosoftEmail verificata su microsoft.com
