2013

• P. Kontschieder, P. Kohli, J. Shotton, and A. Criminisi, GeoF: Geodesic Forests for Learning Coupled Predictors, in Proc. Computer Vision and Pattern Recognition (CVPR), IEEE, June 2013
• Jamie Shotton, Ben Glocker, Christopher Zach, Shahram Izadi, Antonio Criminisi, and Andrew Fitzgibbon, Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images, in Proc. Computer Vision and Pattern Recognition (CVPR), IEEE, June 2013
• A. Criminisi and J. Shotton, Decision Forests for Computer Vision and Medical Image Analysis, Springer, February 2013
• Pushmeet Kohli and Jamie Shotton, Key Developments in Human Pose Estimation for Kinect, in Consumer Depth Cameras for Computer Vision, Springer, 2013
• Jamie Shotton, Ross Girshick, Andrew Fitzgibbon, Toby Sharp, Mat Cook, Mark Finocchio, Richard Moore, Pushmeet Kohli, Antonio Criminisi, Alex Kipman, and Andrew Blake, Efficient Human Pose Estimation from Single Depth Images, in Decision Forests for Computer Vision and Medical Image Analysis, Springer, 2013
• A. Montillo, J. Tu, J. Shotton, J. Winn, J.E. Iglesias, D.N. Metaxas, and A. Criminisi, Entanglement and Differentiable Information Gain Maximization, in Decision Forests for Computer Vision and Medical Image Analysis, Springer, 2013
• N. Pittman, A. Forin, A. Criminisi, J. Shotton, and A. Mahram, Image Segmentation Using Hardware Forest Classifiers, in Intl Symp. on Field-Programmable Custom Computing Machines (FCCM), IEEE, 2013
• Matthew Johnson, Jamie Shotton, and Roberto Cipolla, Semantic Texton Forests for Image Categorization and Segmentation, in Decision Forests for Computer Vision and Medical Image Analysis, Springer, 2013
• Jamie Shotton, Toby Sharp, Alex Kipman, Andrew Fitzgibbon, Mark Finocchio, Andrew Blake, Mat Cook, and Richard Moore, Real-time human pose recognition in parts from single depth images, in Communications of the ACM (CACM), ACM, January 2013
• E. Geremia, D. Zikic, O. Clatz, B.H. Menze, B. Glocker, E. Konukoglu, J. Shotton, O.M. Thomas, S.J. Price, T. Das, R. Jena, N. Ayache, and A. Criminisi, Classification Forests for Semantic Segmentation of Brain Lesions in Multi-Channel MRI, in Decision Forests for Computer Vision and Medical Image Analysis, Springer, 2013
• A. Criminisi, D. Robertson, O. Pauly, B. Glocker, E. Konukoglu, J. Shotton, D. Mateus, A. Martinez Möller, S.G. Nekolla, and N. Navab, Anatomy Detection and Localization in 3D Medical Images, in Decision Forests for Computer Vision and Medical Image Analysis, Springer, 2013
• A. Criminisi, D. Robertson, E. Konukoglu, J. Shotton, S. Pathak, S. White, and K. Siddiqui, Regression Forests for Efficient Anatomy Detection and Localization in Computed Tomography Scans, in Medical Image Analysis (MedIA), Elsevier, 2013

2012

• D. Zikic, B. Glocker, E. Konukoglu, A. Criminisi, J. Shotton, C. Demiralp, O. Thomas, T. Das, R. Jena, and S. Price, Decision Forests for Tissue-specific Segmentation of High-grade Gliomas in Multi-channel MR, in MICCAI - 15th International Conference on Medical Image Computing and Computer Assisted Intervention, Springer, October 2012
• D. Zikic, B. Glocker, E. Konukoglu, J. Shotton, A. Criminisi, D. H. Ye, C. Demiralp, O. M. Thomas, T. Das, R. Jena, and S. J. Price, Context-sensitive Classification Forests for Segmentation of Brain Tumor Tissues, in MICCAI 2012 Challenge on Multimodal Brain Tumor Segmentation, October 2012
• Sebastian Nowozin and Jamie Shotton, Action Points: A Representation for Low-latency Online Human Action Recognition, no. MSR-TR-2012-68, 9 July 2012
• Jonathan Taylor, Jamie Shotton, Toby Sharp, and Andrew Fitzgibbon, The Vitruvian Manifold: Inferring Dense Correspondences for One-Shot Human Pose Estimation, in Proc. CVPR, IEEE, June 2012
• Jamie Shotton, Ross Girshick, Andrew Fitzgibbon, Toby Sharp, Mat Cook, Mark Finocchio, Richard Moore, Pushmeet Kohli, Antonio Criminisi, Alex Kipman, and Andrew Blake, Efficient Human Pose Estimation from Single Depth Images, in Trans. PAMI, IEEE, 2012
• Stefan Holzer, Jamie Shotton, and Pushmeet Kohli, Learning to Efficiently Detect Repeatable Interest Points in Depth Data, in Proc. European Conference on Computer Vision (ECCV), Springer, 2012
• Min Sun, Pushmeet Kohli, and Jamie Shotton, Conditional Regression Forests for Human Pose Estimation, in Proc. CVPR, IEEE, 2012
• Antonio Criminisi, Jamie Shotton, and Ender Konukoglu, Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning, in Foundations and Trends® in Computer Graphics and Vision: Vol. 7: No 2-3, pp 81-227, NOW Publishers, 2012

2011

• Mihai Budiu, Jamie Shotton, Derek Murray, and Mark Finocchio, Parallelizing the Training of the Kinect Body Parts Labeling Algorithm, in BigLearn Workshop at NIPS, 16 December 2011
• A. Criminisi, J. Shotton, and E. Konukoglu, Decision Forests for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning, no. MSR-TR-2011-114, 28 October 2011
• Shahram Izadi, David Kim, Otmar Hilliges, David Molyneaux, Richard Newcombe, Pushmeet Kohli, Jamie Shotton, Steve Hodges, Dustin Freeman, Andrew Davison, and Andrew Fitzgibbon, KinectFusion: Real-time 3D Reconstruction and Interaction Using a Moving Depth Camera, ACM Symposium on User Interface Software and Technology, October 2011
• Richard A. Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J. Davison, Pushmeet Kohli, Jamie Shotton, Steve Hodges, and Andrew Fitzgibbon, KinectFusion: Real-Time Dense Surface Mapping and Tracking, in IEEE ISMAR, IEEE, October 2011
• Ross Girshick, Jamie Shotton, Pushmeet Kohli, Antonio Criminisi, and Andrew Fitzgibbon, Efficient Regression of General-Activity Human Poses from Depth Images, in ICCV, IEEE, October 2011
• A. Montillo, J. Shotton, J. Winn, J. E. Iglesias, D. Metaxas, and A. Criminisi, Entangled Decision Forests and their Application for Semantic Segmentation of CT Images, in Information Processing in Medical Imaging (IPMI), July 2011
• Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Toby Sharp, Mark Finocchio, Richard Moore, Alex Kipman, and Andrew Blake, Real-Time Human Pose Recognition in Parts from a Single Depth Image, in CVPR, IEEE, June 2011
• Nicolas Le Roux, Nicolas Heess, Jamie Shotton, and John Winn, Learning a Generative Model of Images by Factoring Appearance and Shape , in Neural Computation, vol. 23, no. 3, pp. 593-650, MIT Press, March 2011
• John Winn and Jamie Shotton, Markov Random Fields for Object Detection, in Markov Random Fields for Vision and Image Processing, pp. 389-404, MIT Press, 2011

2010

• A. Criminisi, J. Shotton, D. Robertson, and E. Konukoglu, Regression Forests for Efficient Anatomy Detection and Localization in CT Studies, in Medical Computer Vision 2010: Recognition Techniques and Applications in Medical Imaging, MICCAI workshop, Springer Verlag, September 2010
• Matthew Johnson and Jamie Shotton, Semantic Texton Forests, in Computer Vision: Recognition, Registration and Reconstructions, Springer Verlag, March 2010
• Masashi Nishiyama, Abdenour Hadid, Hidenori Takeshima, Jamie Shotton, Tatsuo Kozakaya, and Osamu Yamaguchi, Facial Deblur Inference using Subspace Analysis for Recognition of Blurred Faces, in Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE, 2010
• A. Criminisi, A. Montillo, J. Shotton, J. Winn, S. Pathak, and K. Siddiqui, Automatic Semantic Segmentation of Anatomical Structures in CT Scans, in Radiological Society of North America (RSNA), 2010
• Nicolas Le Roux, Nicolas Heess, Jamie Shotton, and John Winn, Learning a generative model of images by factoring appearance and shape, no. MSR-TR-2010-7, January 2010

2009

• Antonio Criminisi, Jamie Shotton, Stefano Bucciarelli, and Khan Siddiqui, Automatic Semantic Parsing of CT Scans via Multiple Randomized Decision Trees, in Radiological Society of North America (RSNA), December 2009
• Zhao Yi, Antonio Criminisi, Jamie Shotton, and Andrew Blake, Discriminative, Semantic Segmentation of Brain Tissue in MR Images, in MICCAI 2009, Springer Verlag, 2009
• M. Nishiyama, H. Takeshima, J. Shotton, T. Kozakaya, and O. Yamaguchi, Facial Deblur Inference to Improve Recognition of Blurred Faces, in CVPR, IEEE, 2009
• Jamie Shotton, John Winn, Carsten Rother, and Antonio Criminisi, TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context, in Int. Journal of Computer Vision (IJCV), Springer Verlag, January 2009
• Antonio Criminisi, Jamie Shotton, and Stefano Bucciarelli, Decision Forests with Long-Range Spatial Context for Organ Localization in CT Volumes, in MICCAI workshop on Probabilistic Models for Medical Image Analysis (MICCAI-PMMIA), 2009

2008

• Jamie Shotton, Andrew Blake, and Roberto Cipolla, Multi-Scale Categorical Object Recognition Using Contour Fragments, in Trans. on PAMI, July 2008
• Gabriel Brostow, Jamie Shotton, Julien Fauqueur, and Roberto Cipolla, Segmentation and Recognition using Structure from Motion Point Clouds, in Proc. ECCV, 2008
• Jamie Shotton, Matthew Johnson, and Roberto Cipolla, Semantic Texton Forests for Image Categorization and Segmentation, in Proc. IEEE CVPR, 2008
• Jamie Shotton, Contour and Texture for Visual Recognition of Object Categories, VDM Verlag Dr. Mueller, 2008
• Jamie Shotton, Andrew Blake, and Roberto Cipolla, Efficiently Combining Contour and Texture Cues for Object Recognition, in Proc. BMVC, 2008

2007

• Jamie Shotton, Contour and Texture for Visual Recognition of Object Categories, 2007
• Antonio Criminisi, Jamie Shotton, Andrew Blake, Carsten Rother, and Philip H.S. Torr, Efficient Dense Stereo with Occlusion for New View-Synthesis by Four-State Dynamic Programming, in Intl. Journal on Computer Vision (IJCV), January 2007

2006

• Matthew Johnson, Gabriel Brostow, Jamie Shotton, Ognen Arandjelovic, Vivek Kwatra, and Roberto Cipolla, Semantic Photo Synthesis, in Computer Graphics Forum, September 2006
• Jamie Shotton, John Winn, Carsten Rother, and Antonio Criminisi, TextonBoost: Joint Appearance, Shape and Context Modeling for Mulit-Class Object Recognition and Segmentation, in European Conference on Computer Vision (ECCV), January 2006
• John Winn and Jamie Shotton, The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects, in Proceedings of IEEE CVPR, January 2006

2005

• Jamie Shotton, Andrew Blake, and Roberto Cipolla, Contour-Based Learning for Object Detection, in International Conference on Computer Vision, 2005

2004

• Jamie Shotton, Learning Class-Specific Segmentation, 2004

2003

• Antonio Criminisi, Jamie Shotton, Andrew Blake, and Philip H.S. Torr, Gaze Manipulation for One-to-one Teleconferencing, in Proc. IEEE International Conference on Computer Vision (ICCV), October 2003
• Antonio Criminisi, Jamie Shotton, Andrew Blake, Carsten Rother, and Philip H.S. Torr, Efficient Dense Stereo and Novel-view Synthesis for Gaze Manipulation in One-to-one Teleconferencing, no. MSR-TR-2003-59, January 2003