Shimon Ullman

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Cortical Circuitry Implementing Graphical Models.

[BibT_eX]

[DOI]

Shai Litvak

Neural Comput., 2009

A hierarchical non-parametric method for capturing non-rigid deformations.

[BibT_eX]

[DOI]

Ady Ecker

Image Vis. Comput., 2009

Unsupervised feature optimization (UFO): Simultaneous selection of multiple features with their detection parameters.

[BibT_eX]

[DOI]

Leonid Karlinsky

Michael Dinerstein

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Learning Model Complexity in an Online Environment.

[BibT_eX]

[DOI]

Dan Levi

Proceedings of the Sixth Canadian Conference on Computer and Robot Vision, 2009

2008

Image interpretation by a single bottom-up top-down cycle.

[BibT_eX]

[DOI]

Ita Lifshitz

Proc. Natl. Acad. Sci. USA, 2008

Combined Top-Down/Bottom-Up Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Class-Based Feature Matching Across Unrestricted Transformations.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Class Information Predicts Activation by Object Fragments in Human Object Areas.

[BibT_eX]

[DOI]

J. Cogn. Neurosci., 2008

Distinctive and compact features.

[BibT_eX]

[DOI]

Ayelet Akselrod-Ballin

Image Vis. Comput., 2008

From Aardvark to Zorro: A Benchmark for Mammal Image Classification.

[BibT_eX]

[DOI]

Michael Fink

Int. J. Comput. Vis., 2008

Unsupervised Classification and Part Localization by Consistency Amplification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2008

2007

Uncovering shared structures in multiclass classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Semantic Hierarchies for Recognizing Objects and Parts.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Online multiclass learning by interclass hypothesis sharing.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Satellite Features for the Classification of Visually Similar Classes.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Visual Classification by a Hierarchy of Extended Fragments.

[BibT_eX]

[DOI]

Proceedings of the Toward Category-Level Object Recognition, 2006

2005

Feature Hierarchies for Object Classification.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Identifying Semantically Equivalent Object Fragments.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Single-example Learning of Novel Classes using Representation by Similarity.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005

2004

Recognition invariance obtained by extended and invariant features.

[BibT_eX]

[DOI]

Neural Networks, 2004

Learning to Segment.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2004

View-Invariant Recognition Using Corresponding Object Fragments.

[BibT_eX]

[DOI]

Evgeny Byvatov

Proceedings of the Computer Vision, 2004

Combining Top-Down and Bottom-Up Segmentation.

[BibT_eX]

[DOI]

Eitan Sharon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

Class-Based Matching of Object Parts.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

Image normalization by mutual information.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2004

2003

Object Recognition with Informative Features and Linear Classification.

[BibT_eX]

[DOI]

Michel Vidal-Naquet

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002

Class-Specific, Top-Down Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2002

2001

A Fragment-Based Approach to Object Representation and Classification.

[BibT_eX]

[DOI]

Michel Vidal-Naquet

Proceedings of the Visual Form 2001, 4th International Workshop on Visual Form, 2001

2000

Object Classification Using a Fragment-Based Representation.

[BibT_eX]

[DOI]

Proceedings of the Biologically Motivated Computer Vision, 2000

1999

Computation of pattern invariance in brain-like structures.

[BibT_eX]

[DOI]

Sergei Soloviev

Neural Networks, 1999

Combining Class-Specific Fragments for Object Classification.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 1999, 1999

1998

Generalization to Novel Views: Universal, Class-based, and Model-based Processing.

[BibT_eX]

[DOI]

Yael Moses

Int. J. Comput. Vis., 1998

Recognizing Novel 3-D Objects Under New Illumination and Viewing Position Using a Small Number of Examples.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

Multi-view modeling & synthesis.

[BibT_eX]

[DOI]

Chen Brestel

Proceedings of the 9th European Signal Processing Conference, 1998

1997

Face Recognition: The Problem of Compensating for Changes in Illumination Direction.

[BibT_eX]

[DOI]

Yael Adini

Yael Moses

IEEE Trans. Pattern Anal. Mach. Intell., 1997

Object Recognition Using Stochastic Optimization.

[BibT_eX]

[DOI]

Assaf Zeira

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1997

1996

Visual Object Recognition.

[BibT_eX]

Proceedings of the Fourth Israel Symposium on Theory of Computing and Systems, 1996

Learning class regions by the union of ellipsoids.

[BibT_eX]

[DOI]

Michael Kositsky

Proceedings of the 13th International Conference on Pattern Recognition, 1996

1992

Limitations of Non Model-Based Recognition Schemes.

[BibT_eX]

[DOI]

Yael Moses

Proceedings of the Computer Vision, 1992

Contour matching using local affine transformations.

[BibT_eX]

[DOI]

Ivan A. Bachelder

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1992

1991

Recognition by Linear Combinations of Models.

[BibT_eX]

[DOI]

Ronen Basri

IEEE Trans. Pattern Anal. Mach. Intell., 1991

Linear Operator for Object Recognition.

[BibT_eX]

[DOI]

Ronen Basri

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

A Pictorial Approach to Object Classification.

[BibT_eX]

[DOI]

Yerucham Shapira

Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1990

Recognizing solid objects by alignment with an image.

[BibT_eX]

[DOI]

Daniel P. Huttenlocher

Int. J. Comput. Vis., 1990

Reading cursive handwriting by alignment of letter prototypes.

[BibT_eX]

[DOI]

Shimon Edelman

Tamar Flash

Int. J. Comput. Vis., 1990

Grouping Contours by Iterated Pairing Networks.

[BibT_eX]

[DOI]

Amnon Shashua

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1988

Aligning A Model To An Image Using Minimal Information.

[BibT_eX]

[DOI]

Doron Shoham

Proceedings of the Second International Conference on Computer Vision, 1988

Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network.

[BibT_eX]

[DOI]

Amnon Shashua

Proceedings of the Second International Conference on Computer Vision, 1988

The Alignment Of Objects With Smooth Surfaces.

[BibT_eX]

[DOI]

Ronen Basri

Proceedings of the Second International Conference on Computer Vision, 1988

1981

Analysis of Visual Motion by Biological and Computer Systems.

[BibT_eX]

[DOI]

Computer, 1981

1977

The interpretation of visual motion.

[BibT_eX]

[DOI]