Jamie Shotton
RESEARCHER
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I am a Researcher in the Computer Vision Group at MSR Cambridge.
Please see my external site for more information.
Publications
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
- 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
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
- Antonio Criminisi, Jamie Shotton, Andrew Blake, Carsten Rother, and Philip H.S. Torr, Efficient Dense Stereo with Occlusion by Four-State Dynamic Programming, in Intl. Journal on Computer Vision (IJCV), 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
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



