| Knowledge vault: A web-scale approach to probabilistic knowledge fusion X Dong, E Gabrilovich, G Heitz, W Horn, N Lao, K Murphy, T Strohmann, ... Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 2192 | 2014 |
| Learning spatial context: Using stuff to find things G Heitz, D Koller Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 594 | 2008 |
| Discriminative learning of markov random fields for segmentation of 3d scan data D Anguelov, B Taskarf, V Chatalbashev, D Koller, D Gupta, G Heitz, A Ng 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 512 | 2005 |
| From data fusion to knowledge fusion XL Dong, E Gabrilovich, G Heitz, W Horn, K Murphy, S Sun, W Zhang arXiv preprint arXiv:1503.00302, 2015 | 334 | 2015 |
| Cascaded classification models: Combining models for holistic scene understanding G Heitz, S Gould, A Saxena, D Koller Advances in neural information processing systems 21, 2008 | 228 | 2008 |
| Max-margin Classification of Data with Absent Features. G Chechik, G Heitz, G Elidan, P Abbeel, D Koller Journal of Machine Learning Research 9 (1), 2008 | 154 | 2008 |
| Canonicalizing open knowledge bases L Galárraga, G Heitz, K Murphy, FM Suchanek Proceedings of the 23rd acm international conference on conference on …, 2014 | 136 | 2014 |
| Shape-based object localization for descriptive classification G Heitz, G Elidan, B Packer, D Koller Advances in Neural Information Processing Systems 21, 2008 | 66 | 2008 |
| Object separation in X-ray image sets G Heitz, G Chechik 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 58 | 2010 |
| Knowledge vault: A web-scale approach to probabilistic knowledge fusion K Murphy, X Dong, E Gabrilovich, G Heitz, W Horn, N Lao, T Strohmann, ... 20th International Conference on Knowledge Discovery and Data Mining, 601-610, 2014 | 55 | 2014 |
| Statistical shape model generation using nonrigid deformation of a template mesh G Heitz, T Rohlfing, CR Maurer Jr Medical imaging 2005: Image processing 5747, 1411-1421, 2005 | 47 | 2005 |
| Learning object shape: From drawings to images G Elidan, G Heitz, D Koller 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 43 | 2006 |
| Max-margin classification of incomplete data G Chechik, G Heitz, G Elidan, P Abbeel, D Koller Advances in Neural Information Processing Systems 19, 2006 | 39 | 2006 |
| 3D segmentation of cell boundaries from whole cell cryogenic electron tomography volumes F Moussavi, G Heitz, F Amat, LR Comolli, D Koller, M Horowitz Journal of structural biology 170 (1), 134-145, 2010 | 30 | 2010 |
| Automated image separation method G Heitz, G Chechik US Patent 8,326,036, 2012 | 25 | 2012 |
| Automatic Generation of Shape Models Using Nonrigid Registration with a Single Segmented Template Mesh. G Heitz, T Rohlfing, CR Maurer Jr VMV, 73-80, 2004 | 10 | 2004 |
| Convex point estimation using undirected bayesian transfer hierarchies G Elidan, B Packer, G Heitz, D Koller arXiv preprint arXiv:1206.3252, 2012 | 9 | 2012 |
| Graphical models for high-level computer vision G Heitz Stanford University, 2009 | 8 | 2009 |
| Transfer learning of object classes: From cartoons to photographs G Heitz, G Elidan, D Koller NIPS 2005 Workshop on Inductive Transfer: 10 Years Later, 2005 | 8 | 2005 |
| Loops: Localizing object outlines using probabilistics shape G Heitz, G Elidan, B Parker, D Koller NIPS, 2008 | 1 | 2008 |
