Jonathan Taylor
Thesis
- Non-Rigid Structure from Locally-Rigid Motion (Ph.D.) - PDF
PhD Thesis - University of Toronto, Toronto, 2014.
- Lax Probabilistic Bisimulation (M.Sc.) - PDF
Masters Thesis - McGill University, Montreal, 2008.
Papers
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ShadowHands - High-Fidelity Remote Hand Gesture Visualization using a Hand Tracker - PDF
Erroll Wood, Jonathan Taylor, John Fogarty, Andrew Fitzgibbon, Jamie Shotton
Interactive Surfaces and Spaces (ISS), 2016.
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TerpreT: A Probabilistic Programming Language for Program Induction (Best Paper Award) - PDF
Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Jonathan Taylor, Daniel Tarlow
NIPS Workshop on Neural Abstract Machines and Program Induction (NIPS-NAMPI), 2016.
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Efficient and Precise Interactive Hand Tracking Through
Joint, Continuous Optimization of Pose and Correspondences - PDF - SUPP
Jonathan Taylor, Lucas Bordeaux*, Thomas Cashman*, Bob Corish*, Cem Keskin*, Toby Sharp*, Eduardo Soto*, David Sweeney*, Julien Valentin*, Benjamin Luff, Arran Topalian, Erroll Wood, Sameh Khamis, Pushmeet Kohli, Shahram Izadi, Richard Banks, Andrew Fitzgibbon, Jamie Shotton
* above indicates roughly equal contribution ordered alphabetically by last name.
Special Interest Group on GRAPHics and Interactive Techniques (SIGGRAPH), Los Angeles, 2016.
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Fusion4D: Real-time Performance Capture of Challenging Scenes - PDF - VIDEO
Mingsong Dou, Sameh Khamis, Yury Degtyarev, Philip Davidson, Sean Fanello, Adarsh Kowdle, Sergio Orts Escolano, Christoph Rhemann, David Kim, Jonathan Taylor, Pushmeet Kohli, Vladimir Tankovich, and Shahram Izadi
Special Interest Group on GRAPHics and Interactive Techniques (SIGGRAPH), Los Angeles, 2016.
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Fits Like a Glove: Rapid and Reliable Hand Shape Personalization - PDF - SUPP - VIDEO
David Joseph Tan, Thomas Cashman, Jonathan Taylor, Andrew Fitzgibbon, Daniel Tarlow, Sameh Khamis, Shahram Izadi, Jamie Shotton
Proc. Computer Vision and Pattern Recognition (CVPR), Las Vegas, 2016.
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Learning Step Size Controllers for Robust Neural Network Training - PDF
Christian Daniel, Jonathan Taylor and Sebastian Nowozin
AAAI Conference on Artificial Intelligence (AAAI), Pheonix, 2016.
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Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose - PDF
Danhang Tang, Jonathan Taylor, Pushmeet Kholi, Cem Keskin, T-K. Kim, Jamie Shotton
International Conference on Computer Vision (ICCV), Santiago, 2015.
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Metric Regression Forests for Correspondence Estimation - PDF
Gerard Pons-Moll, Jonathan Taylor, Jamie Shotton, Aaron Hertzmann, Andrew Fitzgibbon
International Journal of Computer Vision (IJCV), 2015.
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Learning an Efficient Model of Hand Shape Variation from Depth Images - PDF - VIDEO
Sameh Khamis, Jonathan Taylor, Jamie Shotton, Cem Keskin, Shahram Izadi, Andrew Fitzgibbon
Proc. Computer Vision and Pattern Recognition (CVPR), Boston, 2015.
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3D Scanning Deformable Objects with a Single RGBD Sensor - PDF - VIDEO
Mingsong Dou, Jonathan Taylor, Henry Fuchs, Andrew Fitzgibbon, Shahram Izadi
Proc. Computer Vision and Pattern Recognition (CVPR), Boston, 2015.
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Large-Scale and Drift-Free Surface Reconstruction Using Online Subvolume Registration - PDF
Nicola Fioraio, Jonathan Taylor, Andrew Fitzgibbon, Luigi Di Stefano, Shahram Izadi
Proc. Computer Vision and Pattern Recognition (CVPR), Boston, 2015.
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Accurate, Robust, and Flexible Real-time Hand Tracking (Honorable Mention Award) - PDF - VIDEO
Toby Sharp, Cem Keskin, Duncan Robertson, Jonathan Taylor, Jamie Shotton,
David Kim, Christoph Rhemann, Ido Leichter, Alon Vinnikov, Yichen Wei,
Daniel Freedman, Pushmeet Kohli, Eyal Krupka, Andrew Fitzgibbon, Shahram Izadi
Conference on Human Factors in Computing Systems (CHI), Seoul, 2015.
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Real-time Face Reconstruction from a Single Depth Image - PDF
Vahid Kazemi, Cem Keskin, Jonathan Taylor, Pushmeet Kohli, Shahram Izadi
International Conference on 3D Vision (3DV), Tokyo, 2014.
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FlexSense: A Transparent Self-Sensing Deformable Surface (People's Choice Best Demo Honorable Mention) - PDF
Christian Rendl, David Kim, Sean Ryan Fanello, Patrick Parzer, Christoph Rhemann, Jonathan Taylor, Martin Zirkl, Michael Haller, Shahram Izadi
Proc. Symposium on User Interface Software and Technology (UIST), Honolulu, 2014.
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User-Specific Hand Modeling from Monocular Depth Sequences - PDF - SUPP - VIDEO
Jonathan Taylor, Richard Stebbing, Varun Ramakrishna, Cem Keskin, Jamie Shotton, Shahram Izadi, Aaron Hertzmann, Andrew Fitzgibbon
Proc. Computer Vision and Pattern Recognition (CVPR), Columbus, 2014.
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Metric Space Regression Forests for Human Pose Estimation (Best Science Paper Award) - PDF
Gerard Pons-Moll, Jonathan Taylor, Jamie Shotton, Aaron Hertzmann, Andrew Fitzgibbon
Proc. British Machine Vision Conference (BMVC), Bristol, 2013.
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The Vitruvian Manifold: Inferring Dense Correspondences for One-Shot Human Pose Estimation - PDF - SUPP - VIDEO - INFO
Jonathan Taylor, Jamie Shotton, Toby Sharp, Andrew Fitzgibbon
Proc. Computer Vision and Pattern Recognition (CVPR), Providence, 2012.
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Non-Rigid Structure from Locally-Rigid Motion - PDF - INFO
Jonathan Taylor, Allan D. Jepson, Kiriakos N. Kutulakos
Proc. Computer Vision and Pattern Recognition (CVPR), San Francisco, 2010.
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Bounding Performance Loss in Approximate MDP Homomorphisms - PDF
Jonathan Taylor, Doina Precup, Prakash Panangaden
Neural Information Processing Systems (NIPS), Vancouver, 2008.
- CapsID: a web-based tool for developing parsimonious sets of CAPS molecular markers for genotyping - PDF - HTML
Jonathan Taylor, Nicholas Provart
BMC Genetics, 2006. - Memview: A Pedagogically-Motivated Visual Debugger - PDF
Paul Gries, Volodymyr Mnih, Jonathan Taylor, Greg Wilson, and Lee Zamparo
ASEE/IEEE Frontiers in Education, Indianapolis, 2005.