| 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 | 4725 | 2011 |
| 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 | 4450 | 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 | 4034 | 2014 |
| 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 | 2722 | 2011 |
| 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 | 2351 | 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 | 1864 | 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 | 1567 | 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 | 1403 | 2008 |
| 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 | 1374 | 2012 |
| 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, 2-23, 2009 | 1343 | 2009 |
| 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 | 1053 | 2008 |
| Decision forests for computer vision and medical image analysis A Criminisi, J Shotton Springer Science & Business Media, 2013 | 792 | 2013 |
| 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 | 729 | 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 | 670 | 2012 |
| Learning 6d object pose estimation using 3d object coordinates E Brachmann, A Krull, F Michel, S Gumhold, J Shotton, C Rother Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 667 | 2014 |
| Regression forests for efficient anatomy detection and localization in computed tomography scans A Criminisi, D Robertson, E Konukoglu, J Shotton, S Pathak, S White, ... Medical image analysis 17 (8), 1293-1303, 2013 | 623 | 2013 |
| 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 | 525 | 2015 |
| 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 | 513 | 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 | 476 | 2008 |
| Dsac-differentiable ransac for camera localization E Brachmann, A Krull, S Nowozin, J Shotton, F Michel, S Gumhold, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 466 | 2017 |
Andrew FitzgibbonGraphcoreVerified email at fitzgibbon.ie
