Geremy Heitz's Publications
Thesis
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Graphical Models for High-Level Computer Vision
Geremy Heitz
Ph.D. Thesis, Stanford University, March 2009
[ PDF ]
Journal Publications
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Max Margin classification of data with absent features.
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel and Daphne Koller.
Journal of Machine Learning Research, JMLR, 2007.
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Peer Reviewed Conference Publications
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Shape-Based Object Localization for Descriptive Classification.
Geremy Heitz, Gal Elidan, Ben Packer and Daphne Koller.
Neural Information Processing Systems (NIPS), 2008
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Cascaded Classification Models: Combining Models for Holistic Scene Understanding.
Geremy Heitz, Stephen Gould, Ashutosh Saxena, and Daphne Koller
Neural Information Processing Systems (NIPS), 2008
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Learning Spatial Context: Using Stuff to Find Things.
Geremy Heitz and Daphne Koller.
European Conference on Computer Vision (ECCV), 2008
Best Paper Award Winner [ PDF | PPT ]
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Convex Point Estimation using Undirected Bayesian Transfer Hierarchies.
Gal Elidan, Ben Packer, Geremy Heitz, and Daphne Koller.
Uncertainty in Artificial Intelligence (UAI), 2008.
[ PDF |
PPT ]
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Max-margin classification of incomplete data.
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel and Daphne Koller.
Neural Information Processing Systems (NIPS), 2006.
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- Learning Object Shape: From Drawings to Images.
Gal Elidan, Geremy Heitz and Daphne Koller.
Proceedings of Computer Vision and Pattern Recognition (CVPR), 2006.
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- Discriminative Learning of Markov Random Fields for
Segmentation of 3D Range Data
Drago Anguelov, Ben Taskar, Vassil Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz and Andrew Ng.
Proceedings of Computer Vision and Pattern Recognition (CVPR), 2005.
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- Automatic Generation of Statistical Shape Models Using Nonrigid Registration with a Single Segmented Template Mesh
Geremy Heitz, Torsten Rohlfing and Calvin Maurer, Jr.
Proceedings of Vision, Modeling, and Visualization(VMV), 2004.
[ PDF ]
Non-Reviewed Publications
- Statistical shape model generation using nonrigid deformation of a template mesh
Geremy Heitz, Torsten Rohlfing and Calvin Maurer, Jr.
Proceedings of SPIE Medical Imaging, 2005.
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Conference Abstracts/Presentations
- NIPS 2005 Workshop Presentation: "Transfer Learning For Object Recognition"
[PDF |
PPT]
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