Erik B. Sudderth
Erik B. Sudderth
Associate Professor of Computer Science, UC Irvine
Verified email at uci.edu - Homepage
TitleCited byYear
Nonparametric belief propagation
EB Sudderth, AT Ihler, M Isard, WT Freeman, AS Willsky
Communications of the ACM 53 (10), 95-103, 2010
6972010
Nonparametric belief propagation
EB Sudderth, AT Ihler, WT Freeman, AS Willsky
IEEE Conference on Computer Vision & Pattern Recognition, 605-612, 2003
697*2003
A sticky HDP-HMM with application to speaker diarization
EB Fox, EB Sudderth, MI Jordan, AS Willsky
The Annals of Applied Statistics 5 (2A), 1020-1056, 2011
396*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
3902005
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
2862008
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
2192008
Graphical models for visual object recognition and tracking
EB Sudderth
Massachusetts Institute of Technology, 2006
2152006
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
2112004
Shared segmentation of natural scenes using dependent Pitman-Yor processes
EB Sudderth, MI Jordan
Advances in neural information processing systems, 1585-1592, 2009
1842009
Nonparametric Bayesian learning of switching linear dynamical systems
E Fox, EB Sudderth, MI Jordan, AS Willsky
Advances in Neural Information Processing Systems, 457-464, 2009
1742009
Describing visual scenes using transformed dirichlet processes
A Torralba, AS Willsky, EB Sudderth, WT Freeman
Advances in neural information processing systems, 1297-1304, 2006
1742006
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
1662011
Sharing features among dynamical systems with beta processes
E Fox, MI Jordan, EB Sudderth, AS Willsky
Advances in Neural Information Processing Systems, 549-557, 2009
1472009
Distributed occlusion reasoning for tracking with nonparametric belief propagation
EB Sudderth, MI Mandel, WT Freeman, AS Willsky
Advances in neural information processing systems, 1369-1376, 2005
1332005
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
1182012
Layered image motion with explicit occlusions, temporal consistency, and depth ordering
D Sun, EB Sudderth, MJ Black
Advances in Neural Information Processing Systems, 2226-2234, 2010
1152010
Efficient multiscale sampling from products of Gaussian mixtures
AT Ihler, EB Sudderth, WT Freeman, AS Willsky
Advances in Neural Information Processing Systems, 1-8, 2004
982004
Embedded trees: Estimation of Gaussian processes on graphs with cycles
EB Sudderth, MJ Wainwright, AS Willsky
IEEE Transactions on Signal Processing 52 (11), 3136-3150, 2004
962004
Learning multiscale representations of natural scenes using Dirichlet processes
JJ Kivinen, EB Sudderth, MI Jordan
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
952007
Truly nonparametric online variational inference for hierarchical Dirichlet processes
M Bryant, EB Sudderth
Advances in Neural Information Processing Systems, 2699-2707, 2012
882012
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