Michael Isard
Michael Isard
Research Scientist, Google
Verified email at google.com
Cited by
Cited by
Tensorflow: A system for large-scale machine learning
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
12th {USENIX} symposium on operating systems design and implementation …, 2016
Condensation—conditional density propagation for visual tracking
M Isard, A Blake
International journal of computer vision 29 (1), 5-28, 1998
Dryad: distributed data-parallel programs from sequential building blocks
M Isard, M Budiu, Y Yu, A Birrell, D Fetterly
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer …, 2007
Object retrieval with large vocabularies and fast spatial matching
J Philbin, O Chum, M Isard, J Sivic, A Zisserman
2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007
Active contours: the application of techniques from graphics, vision, control theory and statistics to visual tracking of shapes in motion
A Blake, M Isard
Springer Science & Business Media, 2012
Contour tracking by stochastic propagation of conditional density
M Isard, A Blake
European conference on computer vision, 343-356, 1996
Lost in quantization: Improving particular object retrieval in large scale image databases
J Philbin, O Chum, M Isard, J Sivic, A Zisserman
2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008
Quincy: fair scheduling for distributed computing clusters
M Isard, V Prabhakaran, J Currey, U Wieder, K Talwar, A Goldberg
Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles …, 2009
DryadLINQ: A system for general-purpose distributed data-parallel computing using a high-level language
YYMID Fetterly, M Budiu, Ú Erlingsson, PKGJ Currey
Proc. LSDS-IR 8, 2009
Total recall: Automatic query expansion with a generative feature model for object retrieval
O Chum, J Philbin, J Sivic, M Isard, A Zisserman
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
BraMBLe: A Bayesian multiple-blob tracker
M Isard, J MacCormick
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001
ICONDENSATION: Unifying low-level and high-level tracking in a stochastic framework
M Isard, A Blake
European Conference on Computer Vision, 893-908, 1998
Naiad: a timely dataflow system
DG Murray, F McSherry, R Isaacs, M Isard, P Barham, M Abadi
Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems …, 2013
Nonparametric belief propagation
EB Sudderth, AT Ihler, M Isard, WT Freeman, AS Willsky
Communications of the ACM 53 (10), 95-103, 2010
Partitioned sampling, articulated objects, and interface-quality hand tracking
J MacCormick, M Isard
European Conference on Computer Vision, 3-19, 2000
Discriminative models for multi-class object layout
C Desai, D Ramanan, CC Fowlkes
International journal of computer vision 95 (1), 1-12, 2011
A multi-view embedding space for modeling internet images, tags, and their semantics
Y Gong, Q Ke, M Isard, S Lazebnik
International journal of computer vision 106 (2), 210-233, 2014
Tensorflow: large-scale machine learning on heterogeneous distributed systems, CoRR abs/1603.04467
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467, 0
Tracking loose-limbed people
L Sigal, S Bhatia, S Roth, MJ Black, M Isard
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004
Bundling features for large scale partial-duplicate web image search
Z Wu, Q Ke, M Isard, J Sun
2009 IEEE Conference on Computer Vision and Pattern Recognition, 25-32, 2009
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