Jonathan Taylor

According to our database, Jonathan Taylor authored at least 38 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Sandwiched Compression: Repurposing Standard Codecs with Neural Network Wrappers.

Onur G. Guleryuz, Philip A. Chou, Berivan Isik, Hugues Hoppe, Danhang Tang, Ruofei Du, Jonathan Taylor, Philip Davidson, Sean Fanello

CoRR, 2024

One-Click Upgrade from 2D to 3D: Sandwiched RGB-D Video Compression for Stereoscopic Teleconferencing.

Yueyu Hu, Onur G. Guleryuz, Philip A. Chou, Danhang Tang, Jonathan Taylor, Rus Maxham, Yao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MACS: Mass Conditioned 3D Hand and Object Motion Synthesis.

Soshi Shimada, Franziska Mueller, Jan Bednarík, Bardia Doosti, Bernd Bickel, Danhang Tang, Vladislav Golyanik, Jonathan Taylor, Christian Theobalt, Thabo Beeler

Proceedings of the International Conference on 3D Vision, 2024

2023

Sandwiched Video Compression: Efficiently Extending the Reach of Standard Codecs with Neural Wrappers.

Berivan Isik, Onur G. Guleryuz, Danhang Tang, Jonathan Taylor, Philip A. Chou

Proceedings of the IEEE International Conference on Image Processing, 2023

Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images.

Tze Ho Elden Tse, Franziska Mueller, Zhengyang Shen, Danhang Tang, Thabo Beeler, Mingsong Dou, Yinda Zhang, Sasa Petrovic, Hyung Jin Chang, Jonathan Taylor, Bardia Doosti

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting.

Feitong Tan, Sean Fanello, Abhimitra Meka, Sergio Orts-Escolano, Danhang Tang, Rohit Pandey, Jonathan Taylor, Ping Tan, Yinda Zhang

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

2020

Deep relightable textures: volumetric performance capture with neural rendering.

Abhimitra Meka, Rohit Pandey, Christian Häne, Sergio Orts-Escolano, Peter Barnum, Philip Davidson, Daniel Erickson, Yinda Zhang, Jonathan Taylor, Sofien Bouaziz, Chloe LeGendre, Wan-Chun Ma, Ryan S. Overbeck, Thabo Beeler, Paul E. Debevec, Shahram Izadi, Christian Theobalt, Christoph Rhemann, Sean Ryan Fanello

ACM Trans. Graph., 2020

Deep Implicit Volume Compression.

Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Häne, Mingsong Dou, Sean Ryan Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep reflectance fields: high-quality facial reflectance field inference from color gradient illumination.

Abhimitra Meka, Christian Häne, Rohit Pandey, Michael Zollhöfer, Sean Ryan Fanello, Graham Fyffe, Adarsh Kowdle, Xueming Yu, Jay Busch, Jason Dourgarian, Peter Denny, Sofien Bouaziz, Peter Lincoln, Matt Whalen, Geoff Harvey, Jonathan Taylor, Shahram Izadi, Andrea Tagliasacchi, Paul E. Debevec, Christian Theobalt, Julien P. C. Valentin, Christoph Rhemann

ACM Trans. Graph., 2019

The relightables: volumetric performance capture of humans with realistic relighting.

Kaiwen Guo, Peter Lincoln, Philip Davidson, Jay Busch, Xueming Yu, Matt Whalen, Geoff Harvey, Sergio Orts-Escolano, Rohit Pandey, Jason Dourgarian, Danhang Tang, Anastasia Tkach, Adarsh Kowdle, Emily Cooper, Mingsong Dou, Sean Ryan Fanello, Graham Fyffe, Christoph Rhemann, Jonathan Taylor, Paul E. Debevec, Shahram Izadi

ACM Trans. Graph., 2019

Opening the Black Box: Hierarchical Sampling Optimization for Hand Pose Estimation.

Danhang Tang, Qi Ye, Shanxin Yuan, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton

IEEE Trans. Pattern Anal. Mach. Intell., 2019

AR-ia: Volumetric Opera for Mobile Augmented Reality.

Sean Kelly, Samantha Cordingley, Patrick Nolan, Christoph Rhemann, Sean Ryan Fanello, Danhang Tang, Jude Osborn, Jay Busch, Philip Davidson, Paul E. Debevec, Peter Denny, Graham Fyffe, Kaiwen Guo, Geoff Harvey, Shahram Izadi, Peter Lincoln, Wan-Chun Alex Ma, Jonathan Taylor, Xueming Yu, Matt Whalen, Jason Dourgarian, Genevieve Blanchett, Narelle French, Kirstin Sillitoe, Tea Uglow, Brenton Spiteri, Emma Pearson, Wade Kernot, Jonathan Richards

Proceedings of the SIGGRAPH Asia 2019 Extended Reality Program, 2019

Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning.

Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip Davidson, Cem Keskin, Shahram Izadi, Sean Ryan Fanello

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Real-time compression and streaming of 4D performances.

Danhang Tang, Mingsong Dou, Peter Lincoln, Philip Davidson, Kaiwen Guo, Jonathan Taylor, Sean Ryan Fanello, Cem Keskin, Adarsh Kowdle, Sofien Bouaziz, Shahram Izadi, Andrea Tagliasacchi

ACM Trans. Graph., 2018

<i>LookinGood</i>: enhancing performance capture with real-time neural re-rendering.

Ricardo Martin-Brualla, Rohit Pandey, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Julien P. C. Valentin, Sameh Khamis, Philip Davidson, Anastasia Tkach, Peter Lincoln, Adarsh Kowdle, Christoph Rhemann, Dan B. Goldman, Cem Keskin, Steven M. Seitz, Shahram Izadi, Sean Ryan Fanello

ACM Trans. Graph., 2018

The need 4 speed in real-time dense visual tracking.

Adarsh Kowdle, Christoph Rhemann, Sean Ryan Fanello, Andrea Tagliasacchi, Jonathan Taylor, Philip Davidson, Mingsong Dou, Kaiwen Guo, Cem Keskin, Sameh Khamis, David Kim, Danhang Tang, Vladimir Tankovich, Julien P. C. Valentin, Shahram Izadi

ACM Trans. Graph., 2018

LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering.

Ricardo Martin-Brualla, Rohit Pandey, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Julien P. C. Valentin, Sameh Khamis, Philip Davidson, Anastasia Tkach, Peter Lincoln, Adarsh Kowdle, Christoph Rhemann, Dan B. Goldman, Cem Keskin, Steven M. Seitz, Shahram Izadi, Sean Ryan Fanello

CoRR, 2018

TwinFusion: High Framerate Non-rigid Fusion through Fast Correspondence Tracking.

Kaiwen Guo, Jonathan Taylor, Sean Ryan Fanello, Andrea Tagliasacchi, Mingsong Dou, Philip Davidson, Adarsh Kowdle, Shahram Izadi

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Articulated distance fields for ultra-fast tracking of hands interacting.

Jonathan Taylor, Vladimir Tankovich, Danhang Tang, Cem Keskin, David Kim, Philip Davidson, Adarsh Kowdle, Shahram Izadi

ACM Trans. Graph., 2017

The AFRL-MITLL WMT17 Systems: Old, New, Borrowed, BLEU.

Jeremy Gwinnup, Timothy R. Anderson, Grant Erdmann, Katherine Young, Michaeel Kazi, Elizabeth Salesky, Brian Thompson, Jonathan Taylor

Proceedings of the Second Conference on Machine Translation, 2017

2016

Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences.

Jonathan Taylor, Lucas Bordeaux, Thomas J. Cashman, Bob Corish, Cem Keskin, Toby Sharp, Eduardo Soto, David Sweeney, Julien P. C. Valentin, Benjamin Luff, Arran Topalian, Erroll Wood, Sameh Khamis, Pushmeet Kohli, Shahram Izadi, Richard Banks, Andrew W. Fitzgibbon, Jamie Shotton

ACM Trans. Graph., 2016

Fusion4D: real-time performance capture of challenging scenes.

Mingsong Dou, Sameh Khamis, Yury Degtyarev, Philip Davidson, Sean Ryan Fanello, Adarsh Kowdle, Sergio Orts-Escolano, Christoph Rhemann, David Kim, Jonathan Taylor, Pushmeet Kohli, Vladimir Tankovich, Shahram Izadi

ACM Trans. Graph., 2016

Summary - TerpreT: A Probabilistic Programming Language for Program Induction.

Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Jonathan Taylor, Daniel Tarlow

CoRR, 2016

TerpreT: A Probabilistic Programming Language for Program Induction.

Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Jonathan Taylor, Daniel Tarlow

CoRR, 2016

ShadowHands: High-Fidelity Remote Hand Gesture Visualization using a Hand Tracker.

Erroll Wood, Jonathan Taylor, John Fogarty, Andrew W. Fitzgibbon, Jamie Shotton

Proceedings of the 2016 ACM on Interactive Surfaces and Spaces, 2016

The MITLL-AFRL IWSLT 2016 Systems.

Michaeel Kazi, Elizabeth Salesky, Brian Thompson, Jonathan Taylor, Jeremy Gwinnup, Timothy Anderson, Grant Erdmann, Eric G. Hansen, Brian M. Ore, Katherine Young, Michael Hutt

Proceedings of the 13th International Conference on Spoken Language Translation, 2016

Fits Like a Glove: Rapid and Reliable Hand Shape Personalization.

David Joseph Tan, Thomas J. Cashman, Jonathan Taylor, Andrew W. Fitzgibbon, Daniel Tarlow, Sameh Khamis, Shahram Izadi, Jamie Shotton

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Metric Regression Forests for Correspondence Estimation.

Gerard Pons-Moll, Jonathan Taylor, Jamie Shotton, Aaron Hertzmann, Andrew W. Fitzgibbon

Int. J. Comput. Vis., 2015

Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose.

Danhang Tang, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning an efficient model of hand shape variation from depth images.

Sameh Khamis, Jonathan Taylor, Jamie Shotton, Cem Keskin, Shahram Izadi, Andrew W. Fitzgibbon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Large-scale and drift-free surface reconstruction using online subvolume registration.

Nicola Fioraio, Jonathan Taylor, Andrew W. Fitzgibbon, Luigi Di Stefano, Shahram Izadi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

3D scanning deformable objects with a single RGBD sensor.

Mingsong Dou, Jonathan Taylor, Henry Fuchs, Andrew W. Fitzgibbon, Shahram Izadi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Accurate, Robust, and Flexible Real-time Hand Tracking.

Toby Sharp, Cem Keskin, Duncan P. Robertson, Jonathan Taylor, Jamie Shotton, David Kim, Christoph Rhemann, Ido Leichter, Alon Vinnikov, Yichen Wei, Daniel Freedman, Pushmeet Kohli, Eyal Krupka, Andrew W. Fitzgibbon, Shahram Izadi

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014

FlexSense: a transparent self-sensing deformable surface.

Christian Rendl, David Kim, Sean Ryan Fanello, Patrick Parzer, Christoph Rhemann, Jonathan Taylor, Martin Zirkl, Gregor Scheipl, Thomas Rothländer, Michael Haller, Shahram Izadi

Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology, 2014

User-Specific Hand Modeling from Monocular Depth Sequences.

Jonathan Taylor, Richard V. Stebbing, Varun Ramakrishna, Cem Keskin, Jamie Shotton, Shahram Izadi, Aaron Hertzmann, Andrew W. Fitzgibbon

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Real-Time Face Reconstruction from a Single Depth Image.

Vahid Kazemi, Cem Keskin, Jonathan Taylor, Pushmeet Kohli, Shahram Izadi

Proceedings of the 2nd International Conference on 3D Vision, 2014

2013

Metric Regression Forests for Human Pose Estimation.

Gerard Pons-Moll, Jonathan Taylor, Jamie Shotton, Aaron Hertzmann, Andrew W. Fitzgibbon

Proceedings of the British Machine Vision Conference, 2013

2012

The Vitruvian manifold: Inferring dense correspondences for one-shot human pose estimation.

Jonathan Taylor, Jamie Shotton, Toby Sharp, Andrew W. Fitzgibbon

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012