Parma: Confidential Containers via Attested Execution Policies
Matthew Johnson, Stavros Volos, Ken Gordon, Sean Allen, Sylvan Clebsch, John Starks, Manuel Costa
March 2023
Matthew Johnson
Principal Research Scientist
Publications
Publication Type
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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
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
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
Publié par Microsoft
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
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
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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, Vol 25(3)
Filtre par zone de recherche
-
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
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
Publié par Microsoft
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
Publié par Microsoft
Semantic Photo Synthesis
Matthew Johnson, Gabriel Brostow, Jamie Shotton, Ognen Arandjelovic, Vivek Kwatra, Roberto Cipolla
Computer Graphics Forum | September 2006, Vol 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
Publication Type
-
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
Publié par Microsoft
-
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, Vol 25(3)