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 | 2012 | |
|---|---|---|
| c36 |      | Leonid Karlinsky, Shimon Ullman: Using Linking Features in Learning Non-parametric Part Models. ECCV (3) 2012: 326-339 |
| 2010 | ||
| j15 | | Dan Levi, Shimon Ullman: Learning to classify by ongoing feature selection. Image Vision Comput. 28(4): 715-723 (2010) |
| c35 | | Leonid Karlinsky, Michael Dinerstein, Daniel Harari, Shimon Ullman: The chains model for detecting parts by their context. CVPR 2010: 25-32 |
| c34 | | Leonid Karlinsky, Michael Dinerstein, Shimon Ullman: Using body-anchored priors for identifying actions in single images. NIPS 2010: 1072-1080 |
| 2009 | ||
| j14 | | Ady Ecker, Shimon Ullman: A hierarchical non-parametric method for capturing non-rigid deformations. Image Vision Comput. 27(1-2): 87-98 (2009) |
| j13 | | Shai Litvak, Shimon Ullman: Cortical Circuitry Implementing Graphical Models. Neural Computation 21(11): 3010-3056 (2009) |
| c33 | | |
| c32 | | Leonid Karlinsky, Michael Dinerstein, Shimon Ullman: Unsupervised feature optimization (UFO): Simultaneous selection of multiple features with their detection parameters. CVPR 2009: 1263-1270 |
| 2008 | ||
| j12 | | Michael Fink, Shimon Ullman: From Aardvark to Zorro: A Benchmark for Mammal Image Classification. International Journal of Computer Vision 77(1-3): 143-156 (2008) |
| j11 | | Ayelet Akselrod-Ballin, Shimon Ullman: Distinctive and compact features. Image Vision Comput. 26(9): 1269-1276 (2008) |
| j10 | | Yulia Lerner, Boris Epshtein, Shimon Ullman, Rafael Malach: Class Information Predicts Activation by Object Fragments in Human Object Areas. J. Cognitive Neuroscience 20(7): 1189-1206 (2008) |
| j9 | | Evgeniy Bart, Shimon Ullman: Class-Based Feature Matching Across Unrestricted Transformations. IEEE Trans. Pattern Anal. Mach. Intell. 30(9): 1618-1631 (2008) |
| j8 | | Eran Borenstein, Shimon Ullman: Combined Top-Down/Bottom-Up Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 30(12): 2109-2125 (2008) |
| c31 | | Leonid Karlinsky, Michael Dinerstein, Dan Levi, Shimon Ullman: Unsupervised Classification and Part Localization by Consistency Amplification. ECCV (2) 2008: 321-335 |
| 2007 | ||
| c30 | | |
| c29 | | Yonatan Amit, Michael Fink, Nathan Srebro, Shimon Ullman: Uncovering shared structures in multiclass classification. ICML 2007: 17-24 |
| 2006 | ||
| c28 | | Shimon Ullman, Boris Epshtein: Visual Classification by a Hierarchy of Extended Fragments. Toward Category-Level Object Recognition 2006: 321-344 |
| c27 | | |
| c26 | | Boris Epshtein, Shimon Ullman: Satellite Features for the Classification of Visually Similar Classes. CVPR (2) 2006: 2079-2086 |
| c25 | | Michael Fink, Shai Shalev-Shwartz, Yoram Singer, Shimon Ullman: Online multiclass learning by interclass hypothesis sharing. ICML 2006: 313-320 |
| 2005 | ||
| c24 | | Evgeniy Bart, Shimon Ullman: Single-example Learning of Novel Classes using Representation by Similarity. BMVC 2005 |
| c23 | | |
| c22 | | Boris Epshtein, Shimon Ullman: Identifying Semantically Equivalent Object Fragments. CVPR (1) 2005: 2-9 |
| c21 | | Evgeniy Bart, Shimon Ullman: Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement. CVPR (1) 2005: 672-679 |
| c20 | | |
| 2004 | ||
| j7 | | Shimon Ullman, Evgeniy Bart: Recognition invariance obtained by extended and invariant features. Neural Networks 17(5-6): 833-848 (2004) |
| c19 | | |
| c18 | | Evgeniy Bart, Evgeny Byvatov, Shimon Ullman: View-Invariant Recognition Using Corresponding Object Fragments. ECCV (2) 2004: 152-165 |
| c17 | | |
| 2003 | ||
| c16 | | Michel Vidal-Naquet, Shimon Ullman: Object Recognition with Informative Features and Linear Classification. ICCV 2003: 281-288 |
| 2002 | ||
| c15 | | |
| 2001 | ||
| c14 | | Shimon Ullman, Erez Sali, Michel Vidal-Naquet: A Fragment-Based Approach to Object Representation and Classification. IWVF 2001: 85-102 |
| 2000 | ||
| c13 | | Shimon Ullman, Erez Sali: Object Classification Using a Fragment-Based Representation. Biologically Motivated Computer Vision 2000: 73-87 |
| 1999 | ||
| j6 | | Shimon Ullman, Sergei Soloviev: Computation of pattern invariance in brain-like structures. Neural Networks 12(7-8): 1021-1036 (1999) |
| c12 | | |
| 1998 | ||
| j5 | | Yael Moses, Shimon Ullman: Generalization to Novel Views: Universal, Class-based, and Model-based Processing. International Journal of Computer Vision 29(3): 233-253 (1998) |
| c11 |  | |
| 1997 | ||
| j4 | | Yael Adini, Yael Moses, Shimon Ullman: Face Recognition: The Problem of Compensating for Changes in Illumination Direction. IEEE Trans. Pattern Anal. Mach. Intell. 19(7): 721-732 (1997) |
| c10 | | |
| 1996 | ||
| c9 | | |
| 1994 | ||
| c8 | | Yael Moses, Yael Adini, Shimon Ullman: Face Recognition: the Problem of Compensating for Changes in Illumination Direction. ECCV (1) 1994: 286-296 |
| 1992 | ||
| c7 | | |
| 1991 | ||
| j3 | | Shimon Ullman, Ronen Basri: Recognition by Linear Combinations of Models. IEEE Trans. Pattern Anal. Mach. Intell. 13(10): 992-1006 (1991) |
| c6 | | Yerucham Shapira, Shimon Ullman: A Pictorial Approach to Object Classification. IJCAI 1991: 1257-1263 |
| c5 | | |
| 1990 | ||
| j2 | | Daniel P. Huttenlocher, Shimon Ullman: Recognizing solid objects by alignment with an image. International Journal of Computer Vision 5(2): 195-212 (1990) |
| j1 | | Shimon Edelman, Tamar Flash, Shimon Ullman: Reading cursive handwriting by alignment of letter prototypes. International Journal of Computer Vision 5(3): 303-331 (1990) |
| c4 | | |
| 1988 | ||
| c3 | | Doron Shoham, Shimon Ullman: Aligning A Model To An Image Using Minimal Information. ICCV 1988: 259-263 |
| c2 | | Amnon Shashua, Shimon Ullman: Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network. ICCV 1988: 321-327 |
| c1 | | |
Colors in the list of coauthors
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