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Matthew Johnson 0003
Person information
- affiliation: Microsoft Research, Cambridge, UK
- affiliation (PhD): University of Cambridge, Department of Engineering, UK
Other persons with the same name
- Matthew Johnson — disambiguation page
- Matt Johnson 0001 (aka: Matthew Johnson 0001, Matthew J. Johnson 0001) — Florida Institute for Human and Machine Cognition (IHMC), Pensacola, USA
- Matthew Johnson 0002 — University of Durham, Department of Computer Science, UK
- Matthew Johnson 0004 — University of Tennessee, National Institute for Computational Sciences, Oak Ridge, TN, USA
- Matthew Johnson 0005 — Clemson University, Department of Industrial Engineering, SC, USA
- Matthew Johnson 0006 — Leuphana University Lüneburg, Centre for Sustainability Management, Germany
- Matthew Johnson 0007 — California State University Sacramento (CSUS), CA, USA
- Matthew Johnson 0008 — University of California, Berkeley, Department of Bioengineering, CA, USA
- Matthew Johnson 0009 — University of California, Irvine, Donald Bren School of Information and Computer Sciences, CA, USA
- Matthew Johnson 0010 — University of Southampton, Faculty of Health Sciences, UK
- Matthew Johnson 0011 (aka: Matthew William Johnson) — University of Washington, Paul G. Allen School of Computer Science, Seattle, WA, USA
- Matthew A. Johnson 0001 — NIH Clinical Center, MD, USA (and 1 more)
- Matthew A. Johnson 0002 — Informeta LLC, Poughkeepsie, NY, USA
- Matthew A. Johnson 0004 — Naval Postgraduate School, Monterrey, CA, USA
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2020 – today
- 2024
- [j5]Matthew A. Johnson, Stavros Volos, Ken Gordon, Sean T. Allen, Christoph M. Wintersteiger, Sylvan Clebsch, John Starks, Manuel Costa:
Confidential Container Groups. Commun. ACM 67(10): 40-49 (2024) - [j4]Stephan J. Garbin, Marek Kowalski, Virginia Estellers, Stanislaw Szymanowicz, Shideh Rezaeifar, Jingjing Shen, Matthew Johnson, Julien Valentin:
VolTeMorph: Real-time, Controllable and Generalizable Animation of Volumetric Representations. Comput. Graph. Forum 43(6) (2024) - [j3]Matthew A. Johnson, Stavros Volos, Ken Gordon, Sean T. Allen, Christoph M. Wintersteiger, Sylvan Clebsch, John Starks, Manuel Costa:
Confidential Container Groups: Implementing confidential computing on Azure container instances. ACM Queue 22(2) (2024) - 2023
- [i10]Matthew A. Johnson, Stavros Volos, Ken Gordon, Sean T. Allen, Christoph M. Wintersteiger, Sylvan Clebsch, John Starks, Manuel Costa:
COCOAEXPO: Confidential Containers via Attested Execution Policies. CoRR abs/2302.03976 (2023) - 2022
- [c19]Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljevic, Daniel Wilde, Stephan J. Garbin, Toby Sharp, Ivan Stojiljkovic, Tom Cashman, Julien P. C. Valentin:
3D Face Reconstruction with Dense Landmarks. ECCV (13) 2022: 160-177 - [c18]Stanislaw Szymanowicz, Virginia Estellers, Tadas Baltrusaitis, Matthew Johnson:
Photo-Realistic 360$^{\circ }$ Head Avatars in the Wild. ECCV Workshops (3) 2022: 660-667 - [i9]Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljevic, Daniel Wilde, Stephan J. Garbin, Toby Sharp, Ivan Stojiljkovic, Tom Cashman, Julien Valentin:
3D face reconstruction with dense landmarks. CoRR abs/2204.02776 (2022) - [i8]Stephan J. Garbin, Marek Kowalski, Virginia Estellers, Stanislaw Szymanowicz, Shideh Rezaeifar, Jingjing Shen, Matthew Johnson, Julien Valentin:
VolTeMorph: Realtime, Controllable and Generalisable Animation of Volumetric Representations. CoRR abs/2208.00949 (2022) - [i7]Stanislaw Szymanowicz, Virginia Estellers, Tadas Baltrusaitis, Matthew Johnson:
Photo-realistic 360 Head Avatars in the Wild. CoRR abs/2210.11594 (2022) - 2021
- [c17]Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, Julien P. C. Valentin:
FastNeRF: High-Fidelity Neural Rendering at 200FPS. ICCV 2021: 14326-14335 - [i6]Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, Julien P. C. Valentin:
FastNeRF: High-Fidelity Neural Rendering at 200FPS. CoRR abs/2103.10380 (2021) - [i5]Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Sebastian Dziadzio, Matthew Johnson, Virginia Estellers, Thomas J. Cashman, Jamie Shotton:
Fake It Till You Make It: Face analysis in the wild using synthetic data alone. CoRR abs/2109.15102 (2021) - 2020
- [c16]Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton:
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images. ECCV (28) 2020: 220-236 - [c15]Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrusaitis, Matthew Johnson, Jamie Shotton:
CONFIG: Controllable Neural Face Image Generation. ECCV (11) 2020: 299-315 - [i4]Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrusaitis, Matthew Johnson, Jamie Shotton:
CONFIG: Controllable Neural Face Image Generation. CoRR abs/2005.02671 (2020) - [i3]Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton:
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images. CoRR abs/2006.15031 (2020) - [i2]Tadas Baltrusaitis, Erroll Wood, Virginia Estellers, Charlie Hewitt, Sebastian Dziadzio, Marek Kowalski, Matthew Johnson, Thomas J. Cashman, Jamie Shotton:
A high fidelity synthetic face framework for computer vision. CoRR abs/2007.08364 (2020)
2010 – 2019
- 2017
- [c14]Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann:
Asynchronous Data Aggregation for Training End to End Visual Control Networks. AAMAS 2017: 530-537 - [c13]Feynman T. Liang, Mark Gotham, Matthew Johnson, Jamie Shotton:
Automatic Stylistic Composition of Bach Chorales with Deep LSTM. ISMIR 2017: 449-456 - 2016
- [c12]Matthew Johnson, Katja Hofmann, Tim Hutton, David Bignell:
The Malmo Platform for Artificial Intelligence Experimentation. IJCAI 2016: 4246-4247 - 2015
- [c11]Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli:
Efficient Non-greedy Optimization of Decision Trees. NIPS 2015: 1729-1737 - [i1]Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli:
Efficient non-greedy optimization of decision trees. CoRR abs/1511.04056 (2015) - 2010
- [p1]Matthew Johnson, Jamie Shotton:
Semantic Texton Forests. Computer Vision: Detection, Recognition and Reconstruction 2010: 173-203
2000 – 2009
- 2008
- [c10]Jamie Shotton, Matthew Johnson, Roberto Cipolla:
Semantic texton forests for image categorization and segmentation. CVPR 2008 - [c9]Matthew Johnson, Ralph Owen:
A Real World Application of Secure Multi-party Computations (Duplicate Bridge for Cheapskates). Security Protocols Workshop 2008: 180-190 - [c8]Matthew Johnson:
A Real World Application of Secure Multi-party Computations (Transcript of Discussion). Security Protocols Workshop 2008: 191-197 - 2007
- [c7]Matthew Johnson, Gabriel J. Brostow, Jamie Shotton, Vivek Kwatra, Roberto Cipolla:
Semantic photo synthesis. Human Vision and Electronic Imaging 2007: 64920X - 2006
- [j2]Matthew Johnson, Gabriel J. Brostow, Jamie Shotton, Ognjen Arandjelovic, Vivek Kwatra, Roberto Cipolla:
Semantic Photo Synthesis. Comput. Graph. Forum 25(3): 407-413 (2006) - [c6]Kobus Barnard, Keiji Yanai, Matthew Johnson, Prasad Gabbur:
Cross Modal Disambiguation. Toward Category-Level Object Recognition 2006: 238-257 - [c5]Matthew Johnson, Frank Stajano:
Usability of Security Management: Defining the Permissions of Guests. Security Protocols Workshop 2006: 276-283 - [c4]Matthew Johnson:
Usability of Security Management: Defining the Permissions of Guests. Security Protocols Workshop 2006: 284-285 - 2005
- [j1]Kobus Barnard, Matthew Johnson:
Word sense disambiguation with pictures. Artif. Intell. 167(1-2): 13-30 (2005) - [c3]Matthew Johnson, Roberto Cipolla:
Improved Image Annotation and Labelling through Multi-Label Boosting. BMVC 2005 - [c2]Matthew Johnson, Frank Stajano:
Implementing a Multi-hat PDA. Security Protocols Workshop 2005: 295-307 - [c1]Matthew Johnson:
Implementing a Multi-hat PDA. Security Protocols Workshop 2005: 308-314
Coauthor Index
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last updated on 2024-11-11 21:31 CET by the dblp team
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