Dynamic Region Ownership for Concurrency Safety
Fridtjof Peer Stoldt, Brandt Bucher, Sylvan Clebsch, Matthew Johnson, Matthew J. Parkinson, Guido Van Rossum, Eric Snow, Tobias Wrigstad
PACMPL | June 2025, 巻9(PLDI)
Matthew Johnson
Principal Research Scientist
出版物
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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, 巻67(10): pp. 40-49
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Parma: Confidential Containers via Attested Execution Policies
Matthew Johnson, Stavros Volos, Ken Gordon, Sean Allen, Sylvan Clebsch, John Starks, Manuel Costa
March 2023
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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
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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
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FastNeRF: High-Fidelity Neural Rendering at 200FPS
Stephan J. Garbin, Marek Kowalski (HE/HIM), Matthew Johnson, Jamie Shotton, Julien Valentin
ICCV 2021 | October 2021
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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
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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
Microsoft による投稿
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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
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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
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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
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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
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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
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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
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Generalized Descriptor Compression for Storage and Matching
Proc. BMVC | September 2010
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Semantic Texton Forests for Image Categorization and Segmentation
Jamie Shotton, Matthew Johnson, Roberto Cipolla
Proc. IEEE CVPR | June 2008
Best Demo Award
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Semantic Photo Synthesis
Matthew Johnson, Gabriel Brostow, Jamie Shotton, Ognen Arandjelovic, Vivek Kwatra, Roberto Cipolla
Computer Graphics Forum | September 2006, 巻25(3)
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-
-
Dynamic Region Ownership for Concurrency Safety
Fridtjof Peer Stoldt, Brandt Bucher, Sylvan Clebsch, Matthew Johnson, Matthew J. Parkinson, Guido Van Rossum, Eric Snow, Tobias Wrigstad
PACMPL | June 2025, 巻9(PLDI)
-
-
-
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, 巻67(10): pp. 40-49
-
Parma: Confidential Containers via Attested Execution Policies
Matthew Johnson, Stavros Volos, Ken Gordon, Sean Allen, Sylvan Clebsch, John Starks, Manuel Costa
March 2023
-
-
-
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, 巻67(10): pp. 40-49
-
-
-
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
-
FastNeRF: High-Fidelity Neural Rendering at 200FPS
Stephan J. Garbin, Marek Kowalski (HE/HIM), Matthew Johnson, Jamie Shotton, Julien Valentin
ICCV 2021 | October 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, Tom Cashman, Jamie Shotton
International Conference on Computer Vision 2021 | October 2021
-
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
-
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
Microsoft による投稿
-
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
-
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
-
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
-
Generalized Descriptor Compression for Storage and Matching
Proc. BMVC | September 2010
-
Semantic Texton Forests for Image Categorization and Segmentation
Jamie Shotton, Matthew Johnson, Roberto Cipolla
Proc. IEEE CVPR | June 2008
Best Demo Award
-
-
-
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
Microsoft による投稿
-
Semantic Photo Synthesis
Matthew Johnson, Gabriel Brostow, Jamie Shotton, Ognen Arandjelovic, Vivek Kwatra, Roberto Cipolla
Computer Graphics Forum | September 2006, 巻25(3)
-
-
-
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
-
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
-
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
-
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
-
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
-
-
-
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
-
-
-
Dynamic Region Ownership for Concurrency Safety
Fridtjof Peer Stoldt, Brandt Bucher, Sylvan Clebsch, Matthew Johnson, Matthew J. Parkinson, Guido Van Rossum, Eric Snow, Tobias Wrigstad
PACMPL | June 2025, 巻9(PLDI)
-
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, 巻67(10): pp. 40-49
-
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
-
Semantic Photo Synthesis
Matthew Johnson, Gabriel Brostow, Jamie Shotton, Ognen Arandjelovic, Vivek Kwatra, Roberto Cipolla
Computer Graphics Forum | September 2006, 巻25(3)
-
-
-
Parma: Confidential Containers via Attested Execution Policies
Matthew Johnson, Stavros Volos, Ken Gordon, Sean Allen, Sylvan Clebsch, John Starks, Manuel Costa
March 2023
-
-
-
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
-
FastNeRF: High-Fidelity Neural Rendering at 200FPS
Stephan J. Garbin, Marek Kowalski (HE/HIM), Matthew Johnson, Jamie Shotton, Julien Valentin
ICCV 2021 | October 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, Tom Cashman, Jamie Shotton
International Conference on Computer Vision 2021 | October 2021
-
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
-
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
-
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
-
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
-
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
-
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
-
Generalized Descriptor Compression for Storage and Matching
Proc. BMVC | September 2010
-
Semantic Texton Forests for Image Categorization and Segmentation
Jamie Shotton, Matthew Johnson, Roberto Cipolla
Proc. IEEE CVPR | June 2008
Best Demo Award
-
-
-
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
Microsoft による投稿
-