Matthew Johnson

According to our database, Matthew Johnson authored at least 31 papers between 2005 and 2024.

Collaborative distances:

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

2024

Confidential Container Groups.

Matthew A. Johnson, Stavros Volos, Ken Gordon, Sean T. Allen, Christoph M. Wintersteiger, Sylvan Clebsch, John Starks, Manuel Costa

Commun. ACM, October, 2024

VolTeMorph: Real-time, Controllable and Generalizable Animation of Volumetric Representations.

Stephan J. Garbin, Marek Kowalski, Virginia Estellers, Stanislaw Szymanowicz, Shideh Rezaeifar, Jingjing Shen, Matthew Johnson, Julien Valentin

Comput. Graph. Forum, September, 2024

Confidential Container Groups: Implementing confidential computing on Azure container instances.

Matthew A. Johnson, Stavros Volos, Ken Gordon, Sean T. Allen, Christoph M. Wintersteiger, Sylvan Clebsch, John Starks, Manuel Costa

ACM Queue, 2024

2023

COCOAEXPO: Confidential Containers via Attested Execution Policies.

Matthew A. Johnson, Stavros Volos, Ken Gordon, Sean T. Allen, Christoph M. Wintersteiger, Sylvan Clebsch, John Starks, Manuel Costa

CoRR, 2023

2022

Photo-realistic 360 Head Avatars in the Wild.

Stanislaw Szymanowicz, Virginia Estellers, Tadas Baltrusaitis, Matthew Johnson

CoRR, 2022

VolTeMorph: Realtime, Controllable and Generalisable Animation of Volumetric Representations.

Stephan J. Garbin, Marek Kowalski, Virginia Estellers, Stanislaw Szymanowicz, Shideh Rezaeifar, Jingjing Shen, Matthew Johnson, Julien Valentin

CoRR, 2022

3D face reconstruction with dense landmarks.

Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljevic, Daniel Wilde, Stephan J. Garbin, Toby Sharp, Ivan Stojiljkovic, Tom Cashman, Julien Valentin

CoRR, 2022

3D Face Reconstruction with Dense Landmarks.

Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljevic, Daniel Wilde, Stephan J. Garbin, Toby Sharp, Ivan Stojiljkovic, Tom Cashman, Julien P. C. Valentin

Proceedings of the Computer Vision - ECCV 2022, 2022

Photo-Realistic 360$^{\circ }$ Head Avatars in the Wild.

Stanislaw Szymanowicz, Virginia Estellers, Tadas Baltrusaitis, Matthew Johnson

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Fake It Till You Make It: Face analysis in the wild using synthetic data alone.

Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Sebastian Dziadzio, Matthew Johnson, Virginia Estellers, Thomas J. Cashman, Jamie Shotton

CoRR, 2021

FastNeRF: High-Fidelity Neural Rendering at 200FPS.

Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, Julien P. C. Valentin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

A high fidelity synthetic face framework for computer vision.

Tadas Baltrusaitis, Erroll Wood, Virginia Estellers, Charlie Hewitt, Sebastian Dziadzio, Marek Kowalski, Matthew Johnson, Thomas J. Cashman, Jamie Shotton

CoRR, 2020

CONFIG: Controllable Neural Face Image Generation.

Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrusaitis, Matthew Johnson, Jamie Shotton

Proceedings of the Computer Vision - ECCV 2020, 2020

High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images.

Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton

Proceedings of the Computer Vision - ECCV 2020, 2020

2017

Automatic Stylistic Composition of Bach Chorales with Deep LSTM.

Feynman T. Liang, Mark Gotham, Matthew Johnson, Jamie Shotton

Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Asynchronous Data Aggregation for Training End to End Visual Control Networks.

Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016

The Malmo Platform for Artificial Intelligence Experimentation.

Matthew Johnson, Katja Hofmann, Tim Hutton, David Bignell

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Efficient Non-greedy Optimization of Decision Trees.

Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2010

Semantic Texton Forests.

Matthew Johnson, Jamie Shotton

Proceedings of the Computer Vision: Detection, Recognition and Reconstruction, 2010

2008

A Real World Application of Secure Multi-party Computations (Duplicate Bridge for Cheapskates).

Matthew Johnson, Ralph Owen

Proceedings of the Security Protocols XVI, 2008

A Real World Application of Secure Multi-party Computations (Transcript of Discussion).

Matthew Johnson

Proceedings of the Security Protocols XVI, 2008

Semantic texton forests for image categorization and segmentation.

Jamie Shotton, Matthew Johnson, Roberto Cipolla

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Semantic photo synthesis.

Matthew Johnson, Gabriel J. Brostow, Jamie Shotton, Vivek Kwatra, Roberto Cipolla

Proceedings of the Human Vision and Electronic Imaging XII, San Jose, CA, USA, January 29, 2007

2006

Semantic Photo Synthesis.

Matthew Johnson, Gabriel J. Brostow, Jamie Shotton, Ognjen Arandjelovic, Vivek Kwatra, Roberto Cipolla

Comput. Graph. Forum, 2006

Usability of Security Management: Defining the Permissions of Guests.

Matthew Johnson, Frank Stajano

Proceedings of the Security Protocols, 2006

Usability of Security Management: Defining the Permissions of Guests.

Matthew Johnson

Proceedings of the Security Protocols, 2006

Cross Modal Disambiguation.

Kobus Barnard, Keiji Yanai, Matthew Johnson, Prasad Gabbur

Proceedings of the Toward Category-Level Object Recognition, 2006

2005

Word sense disambiguation with pictures.

Kobus Barnard, Matthew Johnson

Artif. Intell., 2005

Implementing a Multi-hat PDA.

Matthew Johnson, Frank Stajano

Proceedings of the Security Protocols, 2005

Implementing a Multi-hat PDA.

Matthew Johnson

Proceedings of the Security Protocols, 2005

Improved Image Annotation and Labelling through Multi-Label Boosting.

Matthew Johnson, Roberto Cipolla

Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005