Matthew Johnson

Principal Research Scientist

Papiers de Collaboration

Afficher par:

- 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, Vol 9(PLDI)
  
  Preprint Publication Projet
- 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 Projet
- 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 Vidéo
- 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 Vidéo Vidéo
- 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
  
  Publié par 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 Projet
- 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 Vidéo Projet
- 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 Projet Projet
- Semantic Photo Synthesis
  
  Matthew Johnson, Gabriel Brostow, Jamie Shotton, Ognen Arandjelovic, Vivek Kwatra, Roberto Cipolla
  
  Computer Graphics Forum | September 2006, Vol 25(3)
  
  Publication

- 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, Vol 9(PLDI)
  
  Preprint Publication Projet
- 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 Projet
- 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 Projet
- 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 Vidéo Vidéo
- 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 Vidéo
- 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
  
  Publié par 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 Projet
- 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 Projet Projet
- 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
  
  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 Projet
- 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 Vidéo Projet
- 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

- 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, Vol 9(PLDI)
  
  Preprint Publication Projet
- 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 Projet
- 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 Vidéo Vidéo
- 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 Vidéo
- 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 Projet
- 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 Vidéo Projet
- 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 Projet Projet
- 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
  
  Publication