Jamie Shotton

Jamie Shotton
SENIOR RESEARCHER
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Publications (All)

    2014

    • Ben Glocker, Jamie Shotton, Antonio Criminisi, and Shahram Izadi, Real-Time RGB-D Camera Relocalization via Randomized Ferns for Keyframe Encoding, in TVCG, IEEE – Institute of Electrical and Electronics Engineers, September 2014
    • Bjoern H. Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth Gerstner, Marc-Andre Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Cagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, Jose Antonio Mariz, Raphael Meier, Sergio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael Ryan, Duygu Sarikaya, Lawrence Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno Sousa, Nagesh K. Subbanna, Gabor Szekely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gozde Unal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, and Koen Van Leemput, The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS), in IEEE Transactions on Medical Imaging, September 2014
    • Eric Brachmann, Alexander Krull, Frank Michel, Stefan Gumhold, Jamie Shotton, and Carsten Rother, Learning 6D Object Pose Estimation Using 3D Object Coordinates, in ECCV, Springer, September 2014
    • Sean Fanello, Cem Keskin, Shahram Izadi, Pushmeet Kohli, David Kim, David Sweeney, Antonio Criminisi, Jamie Shotton, Sing Bing Kang, and Tim Paek, Learning to be a Depth Camera for Close-Range Human Capture and Interaction, in Journal ACM Transactions on Graphics (TOG), ACM – Association for Computing Machinery, July 2014
    • Abner Guzman-Rivera, Pushmeet Kohli, Ben Glocker, Jamie Shotton, Toby Sharp, Andrew Fitzgibbon, and Shahram Izadi, Multi-Output Learning for Camera Relocalization, in CVPR, IEEE – Institute of Electrical and Electronics Engineers, June 2014
    • Sean Fanello, Cem Keskin, Pushmeet Kohli, Shahram Izadi, Jamie Shotton, Antonio Criminisi, Ugo Pattaccini, and Tim Paek, Filter Forests for learning Data-Dependent Convolutional Kernels, in IEEE CVPR, 2014
    • Jonathan Taylor, Richard Stebbing, Varun Ramakrishna, Cem Keskin, Jamie Shotton, Shahram Izadi, Aaron Hertzmann, and Andrew Fitzgibbon, User-Specific Hand Modeling from Monocular Depth Sequences, Computer Vision and Pattern Recognition (CVPR), 2014
    • David Kim, Shahram Izadi, Jakub Dostal, Christoph Rhemann, Cem Keskin, Christopher Zach, Jamie Shotton, Tim Large, Steven Bathiche, Matthias Niessner, Alex Butler, Sean Fanello, and Vivek Pradeep, RetroDepth: 3D Silhouette Sensing for HighPrecision Input On and Above Physical Surfaces, ACM CHI Conference on Human Factors in Computing Systems 2014 (Best Paper Award), 2014

    2013

    2012

    2011

    2010

    2009

    2008

    2007

    2006

    2005

    2004

    2003

    For older publications, please see my external site.