Shimon Ullman

According to our database1, Shimon Ullman authored at least 89 papers between 1981 and 2021.

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Bibliography

2021
Image interpretation by iterative bottom-up top-down processing.
CoRR, 2021

Detector-Free Weakly Supervised Grounding by Separation.
CoRR, 2021

What can human minimal videos tell us about dynamic recognition models?
CoRR, 2021

2020
What takes the brain so long: Object recognition at the level of minimal images develops for up to seconds of presentation time.
CoRR, 2020

Multi-Task Learning by a Top-Down Control Network.
CoRR, 2020

VQA With No Questions-Answers Training.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Cakewalk Sampling.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Minimal Recognizable Configurations Elicit Category-selective Responses in Higher Order Visual Cortex.
J. Cogn. Neurosci., 2019

Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Understand, Compose and Respond - Answering Visual Questions by a Composition of Abstract Procedures.
CoRR, 2018

Discovery and usage of joint attention in images.
CoRR, 2018

Large Field and High Resolution: Detecting Needle in Haystack.
CoRR, 2018

Action Classification via Concepts and Attributes.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Structured learning and detailed interpretation of minimal object images.
CoRR, 2017

A Model for Interpreting Social Interactions in Local Image Regions.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2016
Discovering containment: from infants to machines.
CoRR, 2016

Face-space Action Recognition by Face-Object Interactions.
CoRR, 2016

Measuring and modeling the perception of natural and unconstrained gaze in humans and machines.
CoRR, 2016

Human Pose Estimation Using Deep Consensus Voting.
Proceedings of the Computer Vision - ECCV 2016, 2016

Hand-Object Interaction and Precise Localization in Transitive Action Recognition.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016

Visual Concept Recognition and Localization via Iterative Introspection.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
On the Importance of Objects in Human Action Classification.
CoRR, 2015

Learning Local Invariant Mahalanobis Distances.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Do You See What I Mean? Visual Resolution of Linguistic Ambiguities.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A model for full local image interpretation.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Graph Approximation and Clustering on a Budget.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Visual Cortex Models for Object Recognition.
Computer Vision, A Reference Guide, 2014

Machine Recognition of Objects.
Computer Vision, A Reference Guide, 2014

When Computer Vision Gazes at Cognition.
CoRR, 2014

2013
Extending Recognition in a Changing Environment.
Proceedings of the VISAPP 2013, 2013

Minimal Nativism: How does cognitive development get off the ground?
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Learning to perceive coherent objects.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
From simple innate biases to complex visual concepts.
Proc. Natl. Acad. Sci. USA, 2012

Using Linking Features in Learning Non-parametric Part Models.
Proceedings of the Computer Vision - ECCV 2012, 2012

Modeling the Perception of Intentions.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2010
Learning to classify by ongoing feature selection.
Image Vis. Comput., 2010

Using body-anchored priors for identifying actions in single images.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

The chains model for detecting parts by their context.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Cortical Circuitry Implementing Graphical Models.
Neural Comput., 2009

A hierarchical non-parametric method for capturing non-rigid deformations.
Image Vis. Comput., 2009

Unsupervised feature optimization (UFO): Simultaneous selection of multiple features with their detection parameters.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Learning Model Complexity in an Online Environment.
Proceedings of the Sixth Canadian Conference on Computer and Robot Vision, 2009

2008
Image interpretation by a single bottom-up top-down cycle.
Proc. Natl. Acad. Sci. USA, 2008

Combined Top-Down/Bottom-Up Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Class-Based Feature Matching Across Unrestricted Transformations.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Class Information Predicts Activation by Object Fragments in Human Object Areas.
J. Cogn. Neurosci., 2008

Distinctive and compact features.
Image Vis. Comput., 2008

From Aardvark to Zorro: A Benchmark for Mammal Image Classification.
Int. J. Comput. Vis., 2008

Unsupervised Classification and Part Localization by Consistency Amplification.
Proceedings of the Computer Vision, 2008

2007
Uncovering shared structures in multiclass classification.
Proceedings of the Machine Learning, 2007

Semantic Hierarchies for Recognizing Objects and Parts.
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.
Proceedings of the Machine Learning, 2006

Satellite Features for the Classification of Visually Similar Classes.
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.
Proceedings of the Toward Category-Level Object Recognition, 2006

2005
Feature Hierarchies for Object Classification.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Identifying Semantically Equivalent Object Fragments.
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.
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.
Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005

2004
Recognition invariance obtained by extended and invariant features.
Neural Networks, 2004

Learning to Segment.
Proceedings of the Computer Vision, 2004

View-Invariant Recognition Using Corresponding Object Fragments.
Proceedings of the Computer Vision, 2004

Combining Top-Down and Bottom-Up Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

Class-Based Matching of Object Parts.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

Image normalization by mutual information.
Proceedings of the British Machine Vision Conference, 2004

2003
Object Recognition with Informative Features and Linear Classification.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002
Class-Specific, Top-Down Segmentation.
Proceedings of the Computer Vision, 2002

2001
A Fragment-Based Approach to Object Representation and Classification.
Proceedings of the Visual Form 2001, 4th International Workshop on Visual Form, 2001

2000
Object Classification Using a Fragment-Based Representation.
Proceedings of the Biologically Motivated Computer Vision, 2000

1999
Computation of pattern invariance in brain-like structures.
Neural Networks, 1999

Combining Class-Specific Fragments for Object Classification.
Proceedings of the British Machine Vision Conference 1999, 1999

1998
Generalization to Novel Views: Universal, Class-based, and Model-based Processing.
Int. J. Comput. Vis., 1998

Recognizing Novel 3-D Objects Under New Illumination and Viewing Position Using a Small Number of Examples.
Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

Multi-view modeling & synthesis.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
Face Recognition: The Problem of Compensating for Changes in Illumination Direction.
IEEE Trans. Pattern Anal. Mach. Intell., 1997

Object Recognition Using Stochastic Optimization.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1997

1996
Visual Object Recognition.
Proceedings of the Fourth Israel Symposium on Theory of Computing and Systems, 1996

Learning class regions by the union of ellipsoids.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

1992
Limitations of Non Model-Based Recognition Schemes.
Proceedings of the Computer Vision, 1992

Contour matching using local affine transformations.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1992

1991
Recognition by Linear Combinations of Models.
IEEE Trans. Pattern Anal. Mach. Intell., 1991

Linear Operator for Object Recognition.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

A Pictorial Approach to Object Classification.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1990
Recognizing solid objects by alignment with an image.
Int. J. Comput. Vis., 1990

Reading cursive handwriting by alignment of letter prototypes.
Int. J. Comput. Vis., 1990

Grouping Contours by Iterated Pairing Networks.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1988
Aligning A Model To An Image Using Minimal Information.
Proceedings of the Second International Conference on Computer Vision, 1988

Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network.
Proceedings of the Second International Conference on Computer Vision, 1988

The Alignment Of Objects With Smooth Surfaces.
Proceedings of the Second International Conference on Computer Vision, 1988

1981
Analysis of Visual Motion by Biological and Computer Systems.
Computer, 1981


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