Shimon Ullman

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Shimon Ullman is affiliated with the following schools: The Institute of Science, Mumbai, Weizmann Institute of Science, Massachusetts Institute of Technology

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Shimon Ullman

Computer Science

#1142

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#1182

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Artificial Intelligence

#204

World Rank

#208

Historical Rank

Database

#586

World Rank

#615

Historical Rank

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Computer Science

Why Is Shimon Ullman Influential?

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According to Wikipedia, Shimon Ullman is a professor of computer science at the Weizmann Institute of Science, Israel. Ullman's main research area is the study of vision processing by both humans and machines. Specifically, he focuses on object and facial recognition, and has made a number of key insights in this field, including with Christof Koch the idea of a visual saliency map in the mammalian visual system to regulate selective spatial attention.

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Shimon Ullman's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Shifts in selective visual attention: towards the underlying neural circuitry. (1985) (4092)
The Interpretation of Visual Motion (1981) (2142)
Face Recognition: The Problem of Compensating for Changes in Illumination Direction (1994) (1431)
Visual routines (1984) (1065)
The interpretation of structure from motion (1979) (966)
Recognition by Linear Combinations of Models (1991) (958)
Directional selectivity and its use in early visual processing (1981) (724)
Visual features of intermediate complexity and their use in classification (2002) (680)
Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network (1988) (668)
Aligning pictorial descriptions: An approach to object recognition (1989) (662)
Anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex (2013) (554)
Class-Specific, Top-Down Segmentation (2002) (492)
High-Level Vision: Object Recognition and Visual Cognition (1996) (476)
Against direct perception (1980) (435)
Uncovering shared structures in multiclass classification (2007) (351)
Combining Top-Down and Bottom-Up Segmentation (2004) (349)
Recognizing solid objects by alignment with an image (1990) (319)
Object recognition with informative features and linear classification (2003) (316)
Maximizing Rigidity: The Incremental Recovery of 3-D Structure from Rigid and Nonrigid Motion (1984) (310)
Sequence seeking and counter streams: a computational model for bidirectional information flow in the visual cortex. (1995) (272)
Object recognition and segmentation by a fragment-based hierarchy (2007) (245)
Cross-generalization: learning novel classes from a single example by feature replacement (2005) (216)
Spatial Context in Recognition (1996) (215)
Surface Structure and Three-Dimensional Motion from Image Flow Kinematics (1985) (207)
BOOK REVIEW David Marr’s Vision: ﬂoreat computational neuroscience VISION: A COMPUTATIONAL INVESTIGATION INTO THE HUMAN REPRESENTATION AND PROCESSING OF VISUAL INFORMATION (2009) (198)
Combined Top-Down/Bottom-Up Segmentation (2008) (188)
Analysis of Visual Motion by Biological and Computer Systems (1981) (173)
Learning to Segment (2004) (168)
Filling-in the gaps: The shape of subjective contours and a model for their generation (1976) (159)
Parallel and serial processes in motion detection. (1987) (151)
Human Pose Estimation Using Deep Consensus Voting (2016) (150)
Atoms of recognition in human and computer vision (2016) (142)
Generalization to Novel Images in Upright and Inverted Faces (1993) (132)
A Fragment-Based Approach to Object Representation and Classification (2001) (128)
Bandpass channels, zero-crossings, and early visual information processing. (1979) (127)
Retinotopic Axis Specificity and Selective Clustering of Feedback Projections from V2 to V1 in the Owl Monkey (2005) (126)
Feature hierarchies for object classification (2005) (124)
Relaxation and constrained optimization by local processes (1979) (123)
Curve tracing: A possible basic operation in the perception of spatial relations (1986) (120)
Three-dimensional object recognition based on the combination of views (1998) (119)
Using neuroscience to develop artificial intelligence (2019) (112)
Filling-in of retinal scotomas (2003) (107)
Limitations of Non Model-Based Recognition Schemes (1992) (98)
The Alignment Of Objects With Smooth Surfaces (1988) (97)
Image interpretation by a single bottom-up top-down cycle (2008) (94)
Shape‐selective stereo processing in human object‐related visual areas (2002) (92)
Selecting One Among the Many: A Simple Network Implementing Shifts in Selective Visual Attention (1984) (83)
The chains model for detecting parts by their context (2010) (81)
The Effect of Similarity between Line Segments on the Correspondence Strength in Apparent Motion (1980) (78)
From simple innate biases to complex visual concepts (2012) (75)
Recent Computational Studies in the Interpretation of Structure from Motion (1983) (70)
Visual curve tracing properties. (1991) (67)
Online multiclass learning by interclass hypothesis sharing (2006) (66)
Computation of pattern invariance in brain-like structures (1999) (64)
Object Classification Using a Fragment-Based Representation (2000) (63)
Neuroscience: Rewiring the adult brain (2005) (63)
An Approach to Object Recognition: Aligning Pictorial Descriptions (1986) (62)
Single-example Learning of Novel Classes using Representation by Similarity (2005) (62)
Cortical Circuitry Implementing Graphical Models (2009) (58)
Adaptation and gain normalization (1982) (57)
Semantic Hierarchies for Recognizing Objects and Parts (2007) (54)
View-Invariant Recognition Using Corresponding Object Fragments (2004) (51)
Recognition invariance obtained by extended and invariant features (2004) (51)
Computational Studies in the Interpretation of Structure and Motion: Summary and Extension (1983) (50)
Using Linking Features in Learning Non-parametric Part Models (2012) (49)
Class Information Predicts Activation by Object Fragments in Human Object Areas (2008) (48)
On visual detection of light sources (1976) (47)
Combining Class-Specific Fragments for Object Classification (1999) (47)
Geometry and photometry in three-dimensional visual recognition (1993) (46)
Grouping Contours by Iterated Pairing Network (1990) (46)
Two Dimensionality of the Correspondence Process in Apparent Motion (1978) (45)
Mutual information of image fragments predicts categorization in humans: Electrophysiological and behavioral evidence (2007) (45)
The computational study of vision (1989) (42)
Artificial intelligence and the brain: computational studies of the visual system. (1986) (40)
Neuronal correlates of “free will” are associated with regional specialization in the human intrinsic/default network (2008) (38)
Identifying semantically equivalent object fragments (2005) (37)
Rigidity and Misperceived Motion (1984) (36)
Basic-level categorization of intermediate complexity fragments reveals top-down effects of expertise in visual perception. (2011) (34)
Mental representations and mental experiences [G] (1978) (34)
A model for the temporal organization of X- and Y-type receptive fields in the primate retina (2004) (32)
Vision: are models of object recognition catching up with the brain? (2013) (32)
A.I. systems and human cognition: the missing link (1978) (32)
Contour matching using local affine transformations (1992) (27)
Image understanding 1985-86 (1987) (25)
The measurement of visual motion Computational considerations and some neurophysiological implications (1983) (25)
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities (2015) (24)
Learning Generic Invariances in Object Recognition: Translation and Scale (2010) (24)
Computational theories of low-level vision (1990) (24)
Learning to classify by ongoing feature selection (2006) (24)
Reading cursive handwriting by alignment of letter prototypes (1991) (23)
Recognizing novel 3-D objects under new illumination and viewing position using a small number of example views or even a single view (1998) (22)
Visual Concept Recognition and Localization via Iterative Introspection (2016) (22)
From Aardvark to Zorro: A Benchmark for Mammal Image Classification (2008) (22)
Low-level aspects of segmentation and recognition. (1992) (21)
Unsupervised Classification and Part Localization by Consistency Amplification (2008) (20)
Visual Classification by a Hierarchy of Extended Fragments (2006) (20)
Aligning A Model To An Image Using Minimal Information (1988) (20)
Full interpretation of minimal images (2018) (18)
Rigidity and Smoothness of Motion (1987) (17)
A computational model of perceptual fill-in following retinal degeneration. (2008) (17)
Aligning pictorial descriptions (1991) (17)
Direct computation of the focus of expansion from velocity field measurements (1991) (17)
Learning Local Invariant Mahalanobis Distances (2015) (16)
A Model for the Spatio-Temporal Organization of X- and Y-Type Ganglion Cells in the Primate Retina (1980) (16)
Sequence-Seeking and Counter Streams: A Model for Information Processing the Cortex (1991) (16)
A Pictorial Approach to Object Classification (1991) (15)
Visual categorization of social interactions (2014) (15)
Class-Based Feature Matching Across Unrestricted Transformations (2008) (14)
Class-Based Matching of Object Parts (2004) (14)
Non-linearities in cortical simple cells and the possible detection of zero crossings (2004) (13)
Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects (2018) (13)
The optical flow of planar surfaces. (1985) (12)
Learning class regions by the union of ellipsoids (1996) (12)
Satellite Features for the Classification of Visually Similar Classes (2006) (12)
Unsupervised feature optimization (UFO): Simultaneous selection of multiple features with their detection parameters (2009) (11)
Model-Driven Geometry Theorem Prover (1975) (11)
Generalization to Novel Views: Universal, Class-based, and Model-based Processing (1998) (10)
Short- and long-range processes in structure-from-motion (1991) (10)
From primal templates to invariant recognition (2010) (10)
When Computer Vision Gazes at Cognition (2014) (9)
Image normalization by mutual information (2004) (9)
Action Classification via Concepts and Attributes (2016) (9)
Image interpretation above and below the object level (2018) (9)
Recognizing Novel 3-D Objects Under New Illumination and Viewing Position Using a Small Number of Examples. (1998) (8)
Distinctive and compact features (2008) (8)
The visual recognition of three-dimensional objects (1993) (8)
Hand-Object Interaction and Precise Localization in Transitive Action Recognition (2015) (8)
Sequence Seeking and Counter Streams: A Model for Information Flow in the Visual Cortex (1996) (8)
A model for full local image interpretation (2021) (7)
Detector-Free Weakly Supervised Grounding by Separation (2021) (7)
A hierarchical non-parametric method for capturing non-rigid deformations (2009) (7)
Three-dimensional object recognition. (1990) (7)
Minimal Recognizable Configurations Elicit Category-selective Responses in Higher Order Visual Cortex (2019) (7)
Visual Cognition and Visual Routines (1996) (6)
The Correspondence Problem (1979) (6)
A model for discovering ‘containment’ relations (2019) (6)
VQA With No Questions-Answers Training (2018) (6)
Measuring and modeling the perception of natural and unconstrained gaze in humans and machines (2016) (5)
Learning Model Complexity in an Online Environment (2009) (5)
Multi-Task Learning By A Top-Down Control Network (2020) (5)
From Aardvark to Zorro : A Benchmark of Mammal Images (2007) (5)
Using body-anchored priors for identifying actions in single images (2010) (5)
Learning to perceive coherent objects (2013) (5)
CHAPTER 6 – Visual Routines: Where Bottom-Up and Top-Down Processing Meet (1986) (5)
Recognizing Rigid Objects by Aligning Them with an Image (1987) (5)
Transformability and object identity (1977) (5)
Self-calibrated collinearity detector (1990) (4)
What takes the brain so long: Object recognition at the level of minimal images develops for up to seconds of presentation time (2020) (4)
Invariant Recognition of Objects by Vision (2010) (3)
Searching for visual features that explain response variance of face neurons in inferior temporal cortex (2018) (3)
Labyrinth ice pattern formation induced by near-infrared irradiation (2019) (3)
Linear Operator for Object Recognition (1991) (3)
Minimal videos: Trade-off between spatial and temporal information in human and machine vision (2020) (3)
Perception, information, and computation (1980) (3)
The Incremental Rigidity Scheme and Long-Range Motion Correspondence (1988) (2)
Image Interpretation using Bottom-up Top-down Cycle on Fragment Trees (2005) (2)
Gaze following requires early visual experience (2022) (2)
A model for interpreting social interactions in local image regions (2017) (2)
Interfacing the one-dimensional scanning of an image with the application of two-dimensional operators (1981) (2)
Object Categorization: From Classification to Full Object Interpretation (2009) (2)
Graph Approximation and Clustering on a Budget (2014) (2)
Teaching Structured Vision&Language Concepts to Vision&Language Models (2022) (2)
Rewiring the adult brain. Arising from: S.M. Smirnakis et al. Nature 435, 300-307 (2005) (2005) (2)
Image interpretation by iterative bottom-up top-down processing (2021) (2)
Artificial intelligence and the neurosciences (1986) (2)
Oculo-retinal dynamics can explain the perception of minimal recognizable configurations (2021) (2)
Combined model for detecting, localizing, interpreting and recognizing faces (2008) (2)
Large Field and High Resolution: Detecting Needle in Haystack (2018) (1)
A novel high-resolution kinetic method for visual field mapping of scotoma in age-related macular degeneration. (2004) (1)
Direct perception after Gibson. (1982) (1)
Maximizing rigidity: recovery of 3-D structure from motion (1991) (1)
Preferential Encoding of Features Distinctive for Multiple Categories (2006) (1)
Object Recognition Using Stochastic Optimization (1997) (1)
Understand, Compose and Respond - Answering Visual Questions by a Composition of Abstract Procedures (2018) (1)
Image Understanding: Advances in Computational Vision (1990) (1)
Intermediate Complexity Features Support Object Classification (2011) (1)
Labyrinth Ice Pattern Formation Induced By Near-Infrared Irradiation; Implications To Cryopreservation (2019) (1)
A hierarchical nonparametric method for capturing nonrigid deformations (2005) (1)
Are non-directional simple cells constructed from directional subunits? (1986) (1)
Computations and Mechanisms in the Early Processing of Visual Information (1984) (1)
Grouping Contours by Iterated Pairing Networks (1990) (1)
Discovery and usage of joint attention in images (2018) (1)
Recognition by the Combination of Views (1996) (1)
Extending Recognition in a Changing Environment (2013) (1)
Approaches to Object Recognition (1996) (1)
Face-space Action Recognition by Face-Object Interactions (2016) (1)
Vision as computation. (1988) (1)
CBMM Memo No . 061 February 8 , 2017 Full interpretation of minimal images (2017) (0)
Multi-view modeling & synthesis (1998) (0)
The Curvature Method (1996) (0)
Faculty Opinions recommendation of Unsupervised learning of individuals and categories from images. (2008) (0)
The Structure from Motion Theorem (1979) (0)
Faculty Opinions recommendation of Neural theory for the perception of causal actions. (2012) (0)
The Minimal Mapping Theory of Motion Correspondence (1979) (0)
Alignment by Features (1996) (0)
The Perception of Motion from Structure (1979) (0)
Structured learning and detailed interpretation of minimal object images (2017) (0)
Discovering containment: from infants to machines (2016) (0)
Faculty Opinions recommendation of Decision-related activity in sensory neurons reflects more than a neuron's causal effect. (2009) (0)
Spatiotemporal interpretation features in the recognition of dynamic images (2018) (0)
The Correspondence Process (1979) (0)
Faculty Opinions recommendation of Recurrent processing in V1/V2 contributes to categorization of natural scenes. (2011) (0)
Visual Motion Perception (1988) (0)
Vision. Foreword. (2012) (0)
Structure from Perspective Projections (1979) (0)
Faculty Opinions recommendation of Sparse representation in the human medial temporal lobe. (2006) (0)
Faculty Opinions recommendation of Bayesian inference with probabilistic population codes. (2007) (0)
The Basic-Elements Problem (1979) (0)
View-tuned and view-invariant face encoding in IT cortex is explained by selected natural image fragments (2021) (0)
Recognition, Categorization, and the Emergence of Meaning (2008) (0)
MIT (Massachusetts Institute of Technology) Progress in Understanding Images (1983) (0)
Minimal Nativism: How does cognitive development get off the ground? (2013) (0)
Image and Model Correspondence (1996) (0)
Locally Affine Matching (1996) (0)
Modeling the Perception of Intentions (2012) (0)
The dynamics of scene understanding (2022) (0)
Fe b 20 18 Cakewalk Sampling (2018) (0)
What can human minimal videos tell us about dynamic recognition models? (2021) (0)
Author Correction: View-tuned and view-invariant face encoding in IT cortex is explained by selected natural image fragments (2021) (0)
Object interpretation: extending and validating object recognition (2014) (0)
Faculty Opinions recommendation of Encoding stimulus information by spike numbers and mean response time in primary auditory cortex. (2005) (0)
Object recognition by eliminating distracting information (2007) (0)
Correspondence Strength in Apparent Movement: Reply to Petersik Et Al (1982) (0)
Statistical Analysis of Brain Optical Recording Data (1995) (0)
Visual Object Recognition (1996) (0)
Visual Routines " Oolo-0277/84r:$19.40 0 Elsevier Sequoia/printed in the Netherlands (2002) (0)
Foreword (2012) (0)
Workshop on Modeling the Perception of Intentions (2012) (0)
Epilogue: Remembering David Marr (1991) (0)
The Alignment of Pictorial Descriptions (1996) (0)
The Cakewalk Method (2018) (0)
A computational model reveals that the face domain of macaque inferotemporal cortex (IT) represents multiple visual features (2011) (0)
Letters to the Editor (1963) (0)
Errors of the Curvature Method (1996) (0)
On the Importance of Objects in Human Action Classification (2015) (0)
Objects and parts: bottom-up, top-down and context (2011) (0)
Faculty Opinions recommendation of Memorization and association on a realistic neural model. (2006) (0)
Improving the AMD Perception by Image Enhancement Technique that Makes Use of the Filling-in Effect (2002) (0)
Faculty Opinions recommendation of Impaired filtering of distracter stimuli by TE neurons following V4 and TEO lesions in macaques. (2005) (0)
The Alignment of Smooth Bounding Contours (1996) (0)
Abstracts of the Brains , Minds , and Machines 2014 Summer School (2014) (0)
Segmentation and Saliency (1996) (0)
Measuring and modeling filling-in effects in retinal AMD scotomas (2010) (0)
Visual Cortex Models for Object Recognition (2014) (0)
Attention, Selective Visual (1988) (0)
Faculty Opinions recommendation of Object-completion effects in the human lateral occipital complex. (2002) (0)
The Psychological Reality and Neural Basis of Intermediate Complexity Features in Perceptual Categorization (2010) (0)
Inferences from Images: Final Report 1984-1987 (1988) (0)
Three-Dimensional Interpretation (2019) (0)
Rewiring the adult brain | NOVA. The University of Newcastle's Digital Repository (2005) (0)
Minimal Recognizable Configurations (MIRCs) elicit category selective responses in high order visual cortex (2018) (0)
Cakewalk Sampling (2018) (0)
Machine Recognition of Objects (2014) (0)
Memo No . 061 July 31 , 2017 Full interpretation of minimal images (2017) (0)
Ternus's configuration in apparent motion (A) (1977) (0)
Faculty Opinions recommendation of Trade-off between curvature tuning and position invariance in visual area V4. (2013) (0)
Time resolved extraction of receptive fields (2010) (0)
New Functional Assessment Test for AMD based on the Filling-in of the Retinal scotomas (2002) (0)

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What Schools Are Affiliated With Shimon Ullman?

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Shimon Ullman's Academic­Influence.com Rankings

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Shimon Ullman's Published Works

Published Works

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What Schools Are Affiliated With Shimon Ullman?

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Shimon Ullman's AcademicInfluence.com Rankings