| Nonparametric belief propagation EB Sudderth, AT Ihler, M Isard, WT Freeman, AS Willsky Communications of the ACM 53 (10), 95-103, 2010 | 697 | 2010 |
| 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 | 390 | 2005 |
| 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 | 286 | 2008 |
| 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 | 219 | 2008 |
| Graphical models for visual object recognition and tracking EB Sudderth Massachusetts Institute of Technology, 2006 | 215 | 2006 |
| 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 | 211 | 2004 |
| Shared segmentation of natural scenes using dependent Pitman-Yor processes EB Sudderth, MI Jordan Advances in neural information processing systems, 1585-1592, 2009 | 184 | 2009 |
| 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 | 174 | 2009 |
| Describing visual scenes using transformed dirichlet processes A Torralba, AS Willsky, EB Sudderth, WT Freeman Advances in neural information processing systems, 1297-1304, 2006 | 174 | 2006 |
| 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 | 166 | 2011 |
| 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 | 147 | 2009 |
| 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 | 133 | 2005 |
| 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 | 118 | 2012 |
| 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 | 115 | 2010 |
| 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 | 98 | 2004 |
| 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 | 96 | 2004 |
| 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 | 95 | 2007 |
| Truly nonparametric online variational inference for hierarchical Dirichlet processes M Bryant, EB Sudderth Advances in Neural Information Processing Systems, 2699-2707, 2012 | 88 | 2012 |
Alan S. WillskyProfessor of EECS, MITVerified email at mit.edu
