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
• Mark Everingham, Luc Van Gool, Christopher K. I. Williams, John Winn, and Andrew Zisserman, The Pascal Visual Object Classes (VOC) Challenge, in International Journal of Computer Vision, Springer Verlag, 9 September 2009
• Florian Schroff, Antonio Criminisi, and Andrew Zissermann, Harvesting Image Databases from the Web, in Intl. Journal of Computer Vision (IJCV), 2009
• Minh Hoai Nguyen, Lorenzo Torresani, Fernando de la Torre, and Carsten Rother, Weakly supervised discriminative localization and classification: a joint learning process, in ICCV, 2009
• Jamie Shotton, John Winn, Carsten Rother, and Antonio Criminisi, Textonboost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Appearance, Shape and Context., in Intl. Journal on Computer Vision (IJCV), special issue., Springer Verlag, 2009
• Kai Ni, Anitha Kannan, Antonio Criminisi, and John Winn, Epitomic Location Recognition, in IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI special issue), IEEE, 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

• Florian Schroff, Antonio Criminisi, and Andrew Zisserman, Object Class Segmentation using Random Forests, in Proc. British Machine Vision Conference (BMVC), 2008
• Kai Ni, Anitha Kannan, Antonio Criminisi, and John Winn, Epitomic Location Recognition, in Proc IEEE Conference on Computer Vision (CVPR). Winner of BEST STUDENT PAPER RUNNER UP AWARD., IEEE Computer Society, 2008

2007

• Pei Yin, Antonio Criminisi, Irfan Essa, and John Winn, Tree-based Classifiers for Bilayer Video Segmentation, in Proc. Conf. Computer Vision and Pattern Recognition, 2007
• Thomas Deselaers, Antonio Criminisi, John Winn, and Ankur Agarwal, Incorporating On-demand Stereo for Real Time Recognition, in Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2007
• Shahram Izadi, Ankur Agarwal, Antonio Criminisi, John Winn, Andrew Blake, and Andrew Fitzgibbon, C-Slate: Exploring Remote Collaboration on Horizontal Multi-touch Surfaces. , in Proc. IEEE Tabletop, 2007
• G. Florian Schroff, Andrew Zisserman, and Antonio Criminisi, Harvesting Images Databases from the Web, in Proc. IEEE Intl. Conference on Computer Vision (ICCV), 2007

2006

• Anitha Kannan, John Winn, and Carsten Rother, Clustering appearance and shape by learning jigsaws, in NIPS, 2006
• G. Florian Schroff, Antonio Criminisi, and Andrew Zisserman, Single-histogram Class Models for Image Segmentation, in Proc. Indian Conference on Computer Vision, 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 Antonio Criminisi, Object Class Recognition at a Glance, in Proc. Conf. Computer Vision and Pattern Recognition (CVPR) -- Video Track, 2006
• Silvio Savarese, Antonio Criminisi, and John Winn, Discriminative Object Class Models of Appearance and Shape by Correlatons, in Proc. IEEE Computer Vision and Pattern Recognition (CVPR)., January 2006

2005

• John Winn, Antonio Criminisi, and Thomas Minka, Object Categorization by Learned Universal Visual Dictionary, in Proc. IEEE Intl. Conf. on Computer Vision (ICCV)., January 2005