Matthew Johnson

Principal Research Scientist

출판물

자료 보기:

- 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, 제 9 권(PLDI)
  
  Preprint Publication 프로젝트
- 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, 제 67 권(10): pp. 40-49
  
  Publication Preprint 프로젝트
- 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 동영상
- 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 동영상 동영상
- 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
  
  글쓴이 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
  
  출판
- 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
  
  출판 출판
- 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
  
  출판 출판 프로젝트
- 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 동영상 프로젝트
- 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
  
  출판 출판
- Generalized Descriptor Compression for Storage and Matching
  
  Matthew Johnson
  
  Proc. BMVC | September 2010
  
  출판
- Semantic Texton Forests for Image Categorization and Segmentation
  
  Jamie Shotton, Matthew Johnson, Roberto Cipolla
  
  Proc. IEEE CVPR | June 2008
  
  Best Demo Award
  
  출판 출판 프로젝트 프로젝트
- Semantic Photo Synthesis
  
  Matthew Johnson, Gabriel Brostow, Jamie Shotton, Ognen Arandjelovic, Vivek Kwatra, Roberto Cipolla
  
  Computer Graphics Forum | September 2006, 제 25 권(3)
  
  출판

- 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, 제 9 권(PLDI)
  
  Preprint Publication 프로젝트
- 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, 제 67 권(10): pp. 40-49
  
  Publication Preprint 프로젝트
- 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, 제 67 권(10): pp. 40-49
  
  Publication Preprint 프로젝트
- 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 동영상 동영상
- 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 동영상
- 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
  
  글쓴이 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
  
  출판 출판 프로젝트
- 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
  
  출판 출판
- Generalized Descriptor Compression for Storage and Matching
  
  Matthew Johnson
  
  Proc. BMVC | September 2010
  
  출판
- Semantic Texton Forests for Image Categorization and Segmentation
  
  Jamie Shotton, Matthew Johnson, Roberto Cipolla
  
  Proc. IEEE CVPR | June 2008
  
  Best Demo Award
  
  출판 출판 프로젝트 프로젝트
- 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
  
  글쓴이 Microsoft
  
  Publication
- Semantic Photo Synthesis
  
  Matthew Johnson, Gabriel Brostow, Jamie Shotton, Ognen Arandjelovic, Vivek Kwatra, Roberto Cipolla
  
  Computer Graphics Forum | September 2006, 제 25 권(3)
  
  출판
- 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
  
  출판
- 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
  
  출판 출판
- 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
  
  출판 출판 프로젝트
- 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 동영상 프로젝트
- 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
  
  출판 출판
- 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
  
  출판 출판

- 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, 제 9 권(PLDI)
  
  Preprint Publication 프로젝트
- 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, 제 67 권(10): pp. 40-49
  
  Publication Preprint 프로젝트
- 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
  
  출판 출판
- Semantic Photo Synthesis
  
  Matthew Johnson, Gabriel Brostow, Jamie Shotton, Ognen Arandjelovic, Vivek Kwatra, Roberto Cipolla
  
  Computer Graphics Forum | September 2006, 제 25 권(3)
  
  출판
- 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 동영상 동영상
- 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 동영상
- 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
  
  출판
- 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
  
  출판 출판 프로젝트
- 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 동영상 프로젝트
- 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
  
  출판 출판
- Generalized Descriptor Compression for Storage and Matching
  
  Matthew Johnson
  
  Proc. BMVC | September 2010
  
  출판
- Semantic Texton Forests for Image Categorization and Segmentation
  
  Jamie Shotton, Matthew Johnson, Roberto Cipolla
  
  Proc. IEEE CVPR | June 2008
  
  Best Demo Award
  
  출판 출판 프로젝트 프로젝트
- 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
  
  글쓴이 Microsoft
  
  Publication

Matthew Johnson

출판물

Dynamic Region Ownership for Concurrency Safety

Confidential Container Groups: Implementing Confidential Computing on Azure Container Instances

Parma: Confidential Containers via Attested Execution Policies

3D Face Reconstruction with Dense Landmarks

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

FastNeRF: High-Fidelity Neural Rendering at 200FPS

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

A high fidelity synthetic face framework for computer vision

CONFIG: Controllable Neural Face Image Generation

Automatic Stylistic Composition of Bach Chorales with Deep LSTM

AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks

Asynchronous Data Aggregation for Training End to End Visual Control Networks

The Malmo Platform for Artificial Intelligence Experimentation

Efficient Non-greedy Optimization of Decision Trees

Generalized Descriptor Compression for Storage and Matching

Semantic Texton Forests for Image Categorization and Segmentation

Semantic Photo Synthesis

Dynamic Region Ownership for Concurrency Safety

Confidential Container Groups: Implementing Confidential Computing on Azure Container Instances

Parma: Confidential Containers via Attested Execution Policies

Confidential Container Groups: Implementing Confidential Computing on Azure Container Instances

3D Face Reconstruction with Dense Landmarks

FastNeRF: High-Fidelity Neural Rendering at 200FPS

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

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

A high fidelity synthetic face framework for computer vision

CONFIG: Controllable Neural Face Image Generation

Asynchronous Data Aggregation for Training End to End Visual Control Networks

Efficient Non-greedy Optimization of Decision Trees

Generalized Descriptor Compression for Storage and Matching

Semantic Texton Forests for Image Categorization and Segmentation

A high fidelity synthetic face framework for computer vision

Semantic Photo Synthesis

Automatic Stylistic Composition of Bach Chorales with Deep LSTM

AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks

Asynchronous Data Aggregation for Training End to End Visual Control Networks

The Malmo Platform for Artificial Intelligence Experimentation

Efficient Non-greedy Optimization of Decision Trees

Efficient Non-greedy Optimization of Decision Trees

Dynamic Region Ownership for Concurrency Safety

Confidential Container Groups: Implementing Confidential Computing on Azure Container Instances

AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks

Semantic Photo Synthesis

Parma: Confidential Containers via Attested Execution Policies

3D Face Reconstruction with Dense Landmarks

FastNeRF: High-Fidelity Neural Rendering at 200FPS

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

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

CONFIG: Controllable Neural Face Image Generation

Automatic Stylistic Composition of Bach Chorales with Deep LSTM

Asynchronous Data Aggregation for Training End to End Visual Control Networks

The Malmo Platform for Artificial Intelligence Experimentation

Efficient Non-greedy Optimization of Decision Trees

Generalized Descriptor Compression for Storage and Matching

Semantic Texton Forests for Image Categorization and Segmentation

A high fidelity synthetic face framework for computer vision