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Matthew A Johnson
Matthew A Johnson
Principal Scientist Lead, Microsoft
Bestätigte E-Mail-Adresse bei microsoft.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Semantic texton forests for image categorization and segmentation
J Shotton, M Johnson, R Cipolla
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
14562008
The Malmo Platform for Artificial Intelligence Experimentation.
M Johnson, K Hofmann, T Hutton, D Bignell
IJCAI, 4246-4247, 2016
4662016
Fastnerf: High-fidelity neural rendering at 200fps
SJ Garbin, M Kowalski, M Johnson, J Shotton, J Valentin
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
4412021
Fake It Till You Make It: Face analysis in the wild using synthetic data alone
E Wood, T Baltrušaitis, C Hewitt, S Dziadzio, M Johnson, V Estellers, ...
arXiv:2109.15102, 2021
1872021
Word sense disambiguation with pictures
K Barnard, M Johnson
Artificial Intelligence 167 (1-2), 13-30, 2005
1432005
Efficient non-greedy optimization of decision trees
M Norouzi, M Collins, MA Johnson, DJ Fleet, P Kohli
Advances in neural information processing systems, 1729-1737, 2015
1322015
Automatic Stylistic Composition of Bach Chorales with Deep LSTM.
FT Liang, M Gotham, M Johnson, J Shotton
ISMIR, 449-456, 2017
1152017
Config: Controllable neural face image generation
M Kowalski, SJ Garbin, V Estellers, T Baltrušaitis, M Johnson, J Shotton
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
802020
Semantic photo synthesis
M Johnson, GJ Brostow, J Shotton, O Arandjelovic, V Kwatra, R Cipolla
Computer Graphics Forum 25 (3), 407-413, 2006
802006
3d face reconstruction with dense landmarks
E Wood, T Baltrušaitis, C Hewitt, M Johnson, J Shen, N Milosavljević, ...
European Conference on Computer Vision, 160-177, 2022
712022
Ampnet: Asynchronous model-parallel training for dynamic neural networks
AL Gaunt, MA Johnson, M Riechert, D Tarlow, R Tomioka, D Vytiniotis, ...
arXiv preprint arXiv:1705.09786, 2017
542017
VolTeMorph: Realtime, Controllable and Generalisable Animation of Volumetric Representations
SJ Garbin, M Kowalski, V Estellers, S Szymanowicz, S Rezaeifar, J Shen, ...
arXiv preprint arXiv:2208.00949, 2022
242022
Generalized Descriptor Compression for Storage and Matching.
M Johnson
BMVC, 1-11, 2010
222010
Semantic segmentation and image search
MA Johnson
University of Cambridge, 2008
192008
Semantic texton forests
M Johnson, J Shotton
Computer Vision: Detection, Recognition and Reconstruction, 173-203, 2010
172010
Cross modal disambiguation
K Barnard, K Yanai, M Johnson, P Gabbur
Toward Category-Level Object Recognition, 238-257, 2006
142006
High resolution zero-shot domain adaptation of synthetically rendered face images
SJ Garbin, M Kowalski, M Johnson, J Shotton
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
92020
Asynchronous data aggregation for training end to end visual control networks
M Monfort, M Johnson, A Oliva, K Hofmann
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017
92017
A high fidelity synthetic face framework for computer vision
T Baltrusaitis, E Wood, V Estellers, C Hewitt, S Dziadzio, M Kowalski, ...
arXiv preprint arXiv:2007.08364, 2020
62020
Parma: Confidential Containers via Attested Execution Policies
MA Johnson, S Volos, K Gordon, ST Allen, CM Wintersteiger, S Clebsch, ...
arXiv preprint arXiv:2302.03976, 2023
3*2023
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