Matthew Johnson

Confidential Container Groups: Implementing Confidential Computing on Azure Container Instances

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

Communications of the ACM | October 2024, Vol 67(10): pp. 40-49

Publication Preprint Project

Parma: Confidential Containers via Attested Execution Policies

Matthew Johnson, Stavros Volos, Ken Gordon, Sean Allen, Sylvan Clebsch, John Starks, Manuel Costa

March 2023

Preprint

3D Face Reconstruction with Dense Landmarks

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

2022 European Conference on Computer Vision | October 2022

Publication PDF

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, Tom Cashman, Jamie Shotton

International Conference on Computer Vision 2021 | October 2021

Publication Video

FastNeRF: High-Fidelity Neural Rendering at 200FPS

Stephan J. Garbin, Marek Kowalski (HE/HIM), Matthew Johnson, Jamie Shotton, Julien Valentin

ICCV 2021 | October 2021

Publication Video Video

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

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

2020 European Conference on Computer Vision | August 2020

Publication

A high fidelity synthetic face framework for computer vision

Tadas Baltrusaitis, Erroll Wood, Virginia Estellers, Charlie Hewitt, Sebastian Dziadzio, Marek Kowalski (HE/HIM), Tom Cashman, Matthew Johnson, Jamie Shotton

MSR-TR-2020-24 | July 2020

Published by Microsoft

Publication

CONFIG: Controllable Neural Face Image Generation

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

2020 European Conference on Computer Vision | May 2020

Publication Publication

Automatic Stylistic Composition of Bach Chorales with Deep LSTM

Feynman Liang, Mark Gotham, Matthew Johnson, Jamie Shotton

18th International Society for Music Information Retrieval Conference | October 2017

Publication

AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks

Alexander Gaunt, Matthew Johnson, Maik Riechert, Daniel Tarlow, Ryota Tomioka, Dimitrios Vytiniotis, Sam Webster

arXiv preprint arXiv:1705.09786 | May 2017

Publication Publication

Asynchronous Data Aggregation for Training End to End Visual Control Networks

Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann

AAMAS '17 Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems | May 2017

Publication Publication Project

The Malmo Platform for Artificial Intelligence Experimentation

Matthew Johnson, Katja Hofmann, Tm Hutton, David Bignell, Katja Hofmann

25th International Joint Conference on Artificial Intelligence (IJCAI-16) | July 2016

Publication Video Project

Efficient Non-greedy Optimization of Decision Trees

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

NIPS'15 Proceedings of the 28th International Conference on Neural Information Processing Systems | December 2015

Publication Publication

Generalized Descriptor Compression for Storage and Matching

Matthew Johnson

Proc. BMVC | September 2010

Publication

Semantic Texton Forests for Image Categorization and Segmentation

Jamie Shotton, Matthew Johnson, Roberto Cipolla

Proc. IEEE CVPR | June 2008

Best Demo Award

Publication Publication Project Project

Semantic Photo Synthesis

Matthew Johnson, Gabriel Brostow, Jamie Shotton, Ognen Arandjelovic, Vivek Kwatra, Roberto Cipolla

Computer Graphics Forum | September 2006, Vol 25(3)

Publication

Confidential Container Groups: Implementing Confidential Computing on Azure Container Instances

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

Communications of the ACM | October 2024, Vol 67(10): pp. 40-49

Publication Preprint Project

Parma: Confidential Containers via Attested Execution Policies

Matthew Johnson, Stavros Volos, Ken Gordon, Sean Allen, Sylvan Clebsch, John Starks, Manuel Costa

March 2023

Preprint

Confidential Container Groups: Implementing Confidential Computing on Azure Container Instances

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

Communications of the ACM | October 2024, Vol 67(10): pp. 40-49

Publication Preprint Project

3D Face Reconstruction with Dense Landmarks

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

2022 European Conference on Computer Vision | October 2022

Publication PDF

FastNeRF: High-Fidelity Neural Rendering at 200FPS

Stephan J. Garbin, Marek Kowalski (HE/HIM), Matthew Johnson, Jamie Shotton, Julien Valentin

ICCV 2021 | October 2021

Publication Video Video

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, Tom Cashman, Jamie Shotton

International Conference on Computer Vision 2021 | October 2021

Publication Video

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

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

2020 European Conference on Computer Vision | August 2020

Publication

A high fidelity synthetic face framework for computer vision

Tadas Baltrusaitis, Erroll Wood, Virginia Estellers, Charlie Hewitt, Sebastian Dziadzio, Marek Kowalski (HE/HIM), Tom Cashman, Matthew Johnson, Jamie Shotton

MSR-TR-2020-24 | July 2020

Published by Microsoft

Publication

CONFIG: Controllable Neural Face Image Generation

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

2020 European Conference on Computer Vision | May 2020

Publication Publication

Asynchronous Data Aggregation for Training End to End Visual Control Networks

Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann

AAMAS '17 Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems | May 2017

Publication Publication Project

Efficient Non-greedy Optimization of Decision Trees

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

NIPS'15 Proceedings of the 28th International Conference on Neural Information Processing Systems | December 2015

Publication Publication

Generalized Descriptor Compression for Storage and Matching

Matthew Johnson

Proc. BMVC | September 2010

Publication

Semantic Texton Forests for Image Categorization and Segmentation

Jamie Shotton, Matthew Johnson, Roberto Cipolla

Proc. IEEE CVPR | June 2008

Best Demo Award

Publication Publication Project Project

A high fidelity synthetic face framework for computer vision

Tadas Baltrusaitis, Erroll Wood, Virginia Estellers, Charlie Hewitt, Sebastian Dziadzio, Marek Kowalski (HE/HIM), Tom Cashman, Matthew Johnson, Jamie Shotton

MSR-TR-2020-24 | July 2020

Published by Microsoft

Publication

Semantic Photo Synthesis

Matthew Johnson, Gabriel Brostow, Jamie Shotton, Ognen Arandjelovic, Vivek Kwatra, Roberto Cipolla

Computer Graphics Forum | September 2006, Vol 25(3)

Publication

Automatic Stylistic Composition of Bach Chorales with Deep LSTM

Feynman Liang, Mark Gotham, Matthew Johnson, Jamie Shotton

18th International Society for Music Information Retrieval Conference | October 2017

Publication

AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks

Alexander Gaunt, Matthew Johnson, Maik Riechert, Daniel Tarlow, Ryota Tomioka, Dimitrios Vytiniotis, Sam Webster

arXiv preprint arXiv:1705.09786 | May 2017

Publication Publication

Asynchronous Data Aggregation for Training End to End Visual Control Networks

Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann

AAMAS '17 Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems | May 2017

Publication Publication Project

The Malmo Platform for Artificial Intelligence Experimentation

Matthew Johnson, Katja Hofmann, Tm Hutton, David Bignell, Katja Hofmann

25th International Joint Conference on Artificial Intelligence (IJCAI-16) | July 2016

Publication Video Project

Efficient Non-greedy Optimization of Decision Trees

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

NIPS'15 Proceedings of the 28th International Conference on Neural Information Processing Systems | December 2015

Publication Publication

Efficient Non-greedy Optimization of Decision Trees

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

NIPS'15 Proceedings of the 28th International Conference on Neural Information Processing Systems | December 2015

Publication Publication

Confidential Container Groups: Implementing Confidential Computing on Azure Container Instances

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

Communications of the ACM | October 2024, Vol 67(10): pp. 40-49

Publication Preprint Project

AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks

Alexander Gaunt, Matthew Johnson, Maik Riechert, Daniel Tarlow, Ryota Tomioka, Dimitrios Vytiniotis, Sam Webster

arXiv preprint arXiv:1705.09786 | May 2017

Publication Publication

Semantic Photo Synthesis

Matthew Johnson, Gabriel Brostow, Jamie Shotton, Ognen Arandjelovic, Vivek Kwatra, Roberto Cipolla

Computer Graphics Forum | September 2006, Vol 25(3)

Publication

Parma: Confidential Containers via Attested Execution Policies

Matthew Johnson, Stavros Volos, Ken Gordon, Sean Allen, Sylvan Clebsch, John Starks, Manuel Costa

March 2023

Preprint

3D Face Reconstruction with Dense Landmarks

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

2022 European Conference on Computer Vision | October 2022

Publication PDF

FastNeRF: High-Fidelity Neural Rendering at 200FPS

Stephan J. Garbin, Marek Kowalski (HE/HIM), Matthew Johnson, Jamie Shotton, Julien Valentin

ICCV 2021 | October 2021

Publication Video Video

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, Tom Cashman, Jamie Shotton

International Conference on Computer Vision 2021 | October 2021

Publication Video

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

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

2020 European Conference on Computer Vision | August 2020

Publication

CONFIG: Controllable Neural Face Image Generation

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

2020 European Conference on Computer Vision | May 2020

Publication Publication

Automatic Stylistic Composition of Bach Chorales with Deep LSTM

Feynman Liang, Mark Gotham, Matthew Johnson, Jamie Shotton

18th International Society for Music Information Retrieval Conference | October 2017

Publication

Asynchronous Data Aggregation for Training End to End Visual Control Networks

Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann

AAMAS '17 Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems | May 2017

Publication Publication Project

The Malmo Platform for Artificial Intelligence Experimentation

Matthew Johnson, Katja Hofmann, Tm Hutton, David Bignell, Katja Hofmann

25th International Joint Conference on Artificial Intelligence (IJCAI-16) | July 2016

Publication Video Project

Efficient Non-greedy Optimization of Decision Trees

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

NIPS'15 Proceedings of the 28th International Conference on Neural Information Processing Systems | December 2015

Publication Publication

Generalized Descriptor Compression for Storage and Matching

Matthew Johnson

Proc. BMVC | September 2010

Publication

Semantic Texton Forests for Image Categorization and Segmentation

Jamie Shotton, Matthew Johnson, Roberto Cipolla

Proc. IEEE CVPR | June 2008

Best Demo Award

Publication Publication Project Project

A high fidelity synthetic face framework for computer vision

Tadas Baltrusaitis, Erroll Wood, Virginia Estellers, Charlie Hewitt, Sebastian Dziadzio, Marek Kowalski (HE/HIM), Tom Cashman, Matthew Johnson, Jamie Shotton

MSR-TR-2020-24 | July 2020

Published by Microsoft

Publication