Erik B. Sudderth
Erik B. Sudderth
Professor of Computer Science, UC Irvine
Verified email at uci.edu - Homepage
Title
Cited by
Cited by
Year
Nonparametric belief propagation
EB Sudderth, AT Ihler, M Isard, WT Freeman, AS Willsky
Communications of the ACM 53 (10), 95-103, 2010
824*2010
Nonparametric belief propagation
EB Sudderth, AT Ihler, M Isard, WT Freeman, AS Willsky
Communications of the ACM 53 (10), 95-103, 2010
7452010
Nonparametric belief propagation
EB Sudderth, AT Ihler, WT Freeman, AS Willsky
IEEE Conference on Computer Vision & Pattern Recognition, 605-612, 2003
745*2003
A sticky HDP-HMM with application to speaker diarization
EB Fox, EB Sudderth, MI Jordan, AS Willsky
The Annals of Applied Statistics, 1020-1056, 2011
483*2011
Learning hierarchical models of scenes, objects, and parts
EB Sudderth, A Torralba, WT Freeman, AS Willsky
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005
4192005
An HDP-HMM for systems with state persistence
EB Fox, EB Sudderth, MI Jordan, AS Willsky
Proceedings of the 25th international conference on Machine learning, 312-319, 2008
3222008
Describing visual scenes using transformed objects and parts
EB Sudderth, A Torralba, WT Freeman, AS Willsky
International Journal of Computer Vision 77 (1-3), 291-330, 2008
2352008
Visual hand tracking using nonparametric belief propagation
EB Sudderth, MI Mandel, WT Freeman, AS Willsky
2004 Conference on Computer Vision and Pattern Recognition Workshop, 189-189, 2004
2352004
Graphical models for visual object recognition and tracking
EB Sudderth
Massachusetts Institute of Technology, 2006
2322006
Bayesian nonparametric inference of switching dynamic linear models
E Fox, EB Sudderth, MI Jordan, AS Willsky
IEEE Transactions on Signal Processing 59 (4), 1569-1585, 2011
2232011
Nonparametric Bayesian learning of switching linear dynamical systems
E Fox, E Sudderth, M Jordan, A Willsky
Advances in Neural Information Processing Systems 21, 457-464, 2008
2172008
Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes.
EB Sudderth, MI Jordan
NIPS, 1585-1592, 2008
2132008
Describing visual scenes using transformed dirichlet processes
E Sudderth, A Torralba, W Freeman, A Willsky
NIPS 18, 1297-1304, 2005
1872005
Sharing features among dynamical systems with beta processes
E Fox, M Jordan, E Sudderth, A Willsky
Advances in neural information processing systems 22, 549-557, 2009
1642009
Layered image motion with explicit occlusions, temporal consistency, and depth ordering
D Sun, E Sudderth, M Black
Advances in Neural Information Processing Systems 23, 2226-2234, 2010
1422010
Layered image motion with explicit occlusions, temporal consistency, and depth ordering
D Sun, E Sudderth, M Black
Advances in Neural Information Processing Systems 23, 2226-2234, 2010
1422010
Layered segmentation and optical flow estimation over time
D Sun, EB Sudderth, MJ Black
2012 IEEE Conference on Computer Vision and Pattern Recognition, 1768-1775, 2012
1332012
Three-dimensional object detection and layout prediction using clouds of oriented gradients
Z Ren, EB Sudderth
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1092016
Efficient multiscale sampling from products of Gaussian mixtures
AT Ihler, EB Sudderth, WT Freeman, AS Willsky
Advances in Neural Information Processing Systems 16, 1-8, 2004
1092004
Truly nonparametric online variational inference for hierarchical Dirichlet processes
M Bryant, E Sudderth
Advances in Neural Information Processing Systems 25, 2699-2707, 2012
1042012
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