The interpretation of visual motion. - Shimon Ullman (1977)

Analysis of Visual Motion by Biological and Computer Systems. - Shimon Ullman (Computer, 1981)

The Alignment Of Objects With Smooth Surfaces. - Ronen Basri; Shimon Ullman (ICCV, 1988)

Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network. - Amnon Shashua; Shimon Ullman (ICCV, 1988)

Aligning A Model To An Image Using Minimal Information. - Doron Shoham; Shimon Ullman (ICCV, 1988)

Grouping Contours by Iterated Pairing Networks. - Amnon Shashua; Shimon Ullman (NIPS, 1990)

Reading cursive handwriting by alignment of letter prototypes. - Shimon Edelman; Tamar Flash; Shimon Ullman (Int. J. Comput. Vis., 1990)

Recognizing solid objects by alignment with an image. - Daniel P. Huttenlocher; Shimon Ullman (Int. J. Comput. Vis., 1990)

A Pictorial Approach to Object Classification. - Yerucham Shapira; Shimon Ullman (IJCAI, 1991)

Linear Operator for Object Recognition. - Ronen Basri; Shimon Ullman (NIPS, 1991)

Recognition by Linear Combinations of Models. - Shimon Ullman; Ronen Basri (IEEE Trans. Pattern Anal. Mach. Intell., 1991)

Contour matching using local affine transformations. - Ivan A. Bachelder; Shimon Ullman (CVPR, 1992)

Limitations of Non Model-Based Recognition Schemes. - Yael Moses; Shimon Ullman (ECCV, 1992)

Learning class regions by the union of ellipsoids. - Michael Kositsky; Shimon Ullman (ICPR, 1996)

Visual Object Recognition. - Shimon Ullman (ISTCS, 1996)

Object Recognition Using Stochastic Optimization. - Shimon Ullman; Assaf Zeira (EMMCVPR, 1997)

Face Recognition: The Problem of Compensating for Changes in Illumination Direction. - Yael Adini; Yael Moses; Shimon Ullman (IEEE Trans. Pattern Anal. Mach. Intell., 1997)

Multi-view modeling & synthesis. - Chen Brestel; Shimon Ullman (EUSIPCO, 1998)

Recognizing Novel 3-D Objects Under New Illumination and Viewing Position Using a Small Number of Examples. - Erez Sali; Shimon Ullman (ICCV, 1998)

Generalization to Novel Views: Universal, Class-based, and Model-based Processing. - Yael Moses; Shimon Ullman (Int. J. Comput. Vis., 1998)

Combining Class-Specific Fragments for Object Classification. - Erez Sali; Shimon Ullman (BMVC, 1999)

Computation of pattern invariance in brain-like structures. - Shimon Ullman; Sergei Soloviev 002 (Neural Networks, 1999)

Object Classification Using a Fragment-Based Representation. - Shimon Ullman; Erez Sali (Biologically Motivated Computer Vision, 2000)

A Fragment-Based Approach to Object Representation and Classification. - Shimon Ullman; Erez Sali; Michel Vidal-Naquet (IWVF, 2001)

Class-Specific, Top-Down Segmentation. - Eran Borenstein; Shimon Ullman (ECCV (2), 2002)

Object Recognition with Informative Features and Linear Classification. - Michel Vidal-Naquet; Shimon Ullman (ICCV, 2003)

Image normalization by mutual information. - Evgeniy Bart; Shimon Ullman (BMVC, 2004)

Class-Based Matching of Object Parts. - Evgeniy Bart; Shimon Ullman (CVPR Workshops, 2004)

Combining Top-Down and Bottom-Up Segmentation. - Eran Borenstein; Eitan Sharon; Shimon Ullman (CVPR Workshops, 2004)

View-Invariant Recognition Using Corresponding Object Fragments. - Evgeniy Bart; Evgeny Byvatov; Shimon Ullman (ECCV (2), 2004)

Learning to Segment. - Eran Borenstein; Shimon Ullman (ECCV (3), 2004)

Recognition invariance obtained by extended and invariant features. - Shimon Ullman; Evgeniy Bart (Neural Networks, 2004)

Single-example Learning of Novel Classes using Representation by Similarity. - Evgeniy Bart; Shimon Ullman (BMVC, 2005)

Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement. - Evgeniy Bart; Shimon Ullman (CVPR (1), 2005)

Identifying Semantically Equivalent Object Fragments. - Boris Epshtein; Shimon Ullman (CVPR (1), 2005)

Feature Hierarchies for Object Classification. - Boris Epshtein; Shimon Ullman (ICCV, 2005)

Visual Classification by a Hierarchy of Extended Fragments. - Shimon Ullman; Boris Epshtein (Toward Category-Level Object Recognition, 2006)

Satellite Features for the Classification of Visually Similar Classes. - Boris Epshtein; Shimon Ullman (CVPR (2), 2006)

Online multiclass learning by interclass hypothesis sharing. - Michael Fink 002; Shai Shalev-Shwartz; Yoram Singer; Shimon Ullman (ICML, 2006)

Semantic Hierarchies for Recognizing Objects and Parts. - Boris Epshtein; Shimon Ullman (CVPR, 2007)

Uncovering shared structures in multiclass classification. - Yonatan Amit; Michael Fink 002; Nathan Srebro; Shimon Ullman (ICML, 2007)

Unsupervised Classification and Part Localization by Consistency Amplification. - Leonid Karlinsky; Michael Dinerstein; Dan Levi; Shimon Ullman (ECCV (2), 2008)

From Aardvark to Zorro: A Benchmark for Mammal Image Classification. - Michael Fink 002; Shimon Ullman (Int. J. Comput. Vis., 2008)

Distinctive and compact features. - Ayelet Akselrod-Ballin; Shimon Ullman (Image Vis. Comput., 2008)

Class Information Predicts Activation by Object Fragments in Human Object Areas. - Yulia Lerner; Boris Epshtein; Shimon Ullman; Rafael Malach (J. Cogn. Neurosci., 2008)

Class-Based Feature Matching Across Unrestricted Transformations. - Evgeniy Bart; Shimon Ullman (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Combined Top-Down/Bottom-Up Segmentation. - Eran Borenstein; Shimon Ullman (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Image interpretation by a single bottom-up top-down cycle. - Boris Epshtein; Ita Lifshitz; Shimon Ullman (Proc. Natl. Acad. Sci. USA, 2008)

Learning Model Complexity in an Online Environment. - Dan Levi; Shimon Ullman (CRV, 2009)

Unsupervised feature optimization (UFO): Simultaneous selection of multiple features with their detection parameters. - Leonid Karlinsky; Michael Dinerstein; Shimon Ullman (CVPR, 2009)

A hierarchical non-parametric method for capturing non-rigid deformations. - Ady Ecker; Shimon Ullman (Image Vis. Comput., 2009)

Cortical Circuitry Implementing Graphical Models. - Shai Litvak; Shimon Ullman (Neural Comput., 2009)

The chains model for detecting parts by their context. - Leonid Karlinsky; Michael Dinerstein; Daniel Harari; Shimon Ullman (CVPR, 2010)

Using body-anchored priors for identifying actions in single images. - Leonid Karlinsky; Michael Dinerstein; Shimon Ullman (NIPS, 2010)

Learning to classify by ongoing feature selection. - Dan Levi; Shimon Ullman (Image Vis. Comput., 2010)

Modeling the Perception of Intentions. - Barbara Tversky; Shimon Ullman; Dare A. Baldwin; Frank E. Pollick; Joshua B. Tenenbaum; Tao Gao 004; Peter C. Pantelis; David Pautler (CogSci, 2012)

Using Linking Features in Learning Non-parametric Part Models. - Leonid Karlinsky; Shimon Ullman (ECCV (3), 2012)

From simple innate biases to complex visual concepts. - Shimon Ullman; Daniel Harari; Nimrod Dorfman (Proc. Natl. Acad. Sci. USA, 2012)

Learning to perceive coherent objects. - Nimrod Dorfman; Daniel Harari; Shimon Ullman (CogSci, 2013)

Minimal Nativism: How does cognitive development get off the ground? - Tomer D. Ullman; Joshua B. Tenenbaum; Noah D. Goodman; Shimon Ullman; Elizabeth S. Spelke (CogSci, 2013)

Extending Recognition in a Changing Environment. - Daniel Harari; Shimon Ullman (VISAPP (1), 2013)

When Computer Vision Gazes at Cognition. - Tao Gao 004; Daniel Harari; Joshua B. Tenenbaum; Shimon Ullman (CoRR, 2014)

Machine Recognition of Objects. - Tomaso A. Poggio; Shimon Ullman (Computer Vision, A Reference Guide, 2014)

Visual Cortex Models for Object Recognition. - Tomaso A. Poggio; Shimon Ullman (Computer Vision, A Reference Guide, 2014)

Graph Approximation and Clustering on a Budget. - Ethan Fetaya; Ohad Shamir; Shimon Ullman (AISTATS, 2015)

A model for full local image interpretation. - Guy Ben-Yosef; Liav Assif; Daniel Harari; Shimon Ullman (CogSci, 2015)

Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. - Yevgeni Berzak; Andrei Barbu; Daniel Harari; Boris Katz; Shimon Ullman (EMNLP, 2015)

Learning Local Invariant Mahalanobis Distances. - Ethan Fetaya; Shimon Ullman (ICML, 2015)

On the Importance of Objects in Human Action Classification. - Amir Rosenfeld; Shimon Ullman (CoRR, 2015)

Visual Concept Recognition and Localization via Iterative Introspection. - Amir Rosenfeld; Shimon Ullman (ACCV (5), 2016)

Hand-Object Interaction and Precise Localization in Transitive Action Recognition. - Amir Rosenfeld; Shimon Ullman (CRV, 2016)

Human Pose Estimation Using Deep Consensus Voting. - Ita Lifshitz; Ethan Fetaya; Shimon Ullman (ECCV (2), 2016)

Measuring and modeling the perception of natural and unconstrained gaze in humans and machines. - Daniel Harari; Tao Gao 004; Nancy Kanwisher; Joshua B. Tenenbaum; Shimon Ullman (CoRR, 2016)

Face-space Action Recognition by Face-Object Interactions. - Amir Rosenfeld; Shimon Ullman (CoRR, 2016)

Discovering containment: from infants to machines. - Shimon Ullman; Nimrod Dorfman; Daniel Harari (CoRR, 2016)

A Model for Interpreting Social Interactions in Local Image Regions. - Guy Ben-Yosef; Alon Yachin; Shimon Ullman (AAAI Spring Symposia, 2017)

Structured learning and detailed interpretation of minimal object images. - Guy Ben-Yosef; Liav Assif; Shimon Ullman (CoRR, 2017)

Action Classification via Concepts and Attributes. - Amir Rosenfeld; Shimon Ullman (ICPR, 2018)

Large Field and High Resolution: Detecting Needle in Haystack. - Hadar Gorodissky; Daniel Harari; Shimon Ullman (CoRR, 2018)

Discovery and usage of joint attention in images. - Daniel Harari; Joshua B. Tenenbaum; Shimon Ullman (CoRR, 2018)

Understand, Compose and Respond - Answering Visual Questions by a Composition of Abstract Procedures. - Ben Zion Vatashsky; Shimon Ullman (CoRR, 2018)

Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects. - Hila Levi; Shimon Ullman (BMVC, 2019)

Minimal Recognizable Configurations Elicit Category-selective Responses in Higher Order Visual Cortex. - Yael Holzinger; Shimon Ullman; Daniel Harari; Marlene Behrmann; Galia Avidan (J. Cogn. Neurosci., 2019)

Cakewalk Sampling. - Uri Patish; Shimon Ullman (AAAI, 2020)

VQA With No Questions-Answers Training. - Ben Zion Vatashsky; Shimon Ullman (CVPR, 2020)

What takes the brain so long: Object recognition at the level of minimal images develops for up to seconds of presentation time. - Hanna Benoni; Daniel Harari; Shimon Ullman (CoRR, 2020)

Detector-Free Weakly Supervised Grounding by Separation. - Assaf Arbelle; Sivan Doveh; Amit Alfassy; Joseph Shtok; Guy Lev; Eli Schwartz; Hilde Kuehne; Hila Barak Levi; Prasanna Sattigeri; Rameswar Panda; Chun-Fu Chen 001; Alex M. Bronstein; et al. (ICCV, 2021)

Multi-Task Learning By A Top-Down Control Network. - Hila Levi; Shimon Ullman (ICIP, 2021)

What can human minimal videos tell us about dynamic recognition models? - Guy Ben-Yosef; Gabriel Kreiman; Shimon Ullman (CoRR, 2021)

Image interpretation by iterative bottom-up top-down processing. - Shimon Ullman; Liav Assif; Alona Strugatski; Ben Zion Vatashsky; Hila Levy; Aviv Netanyahu; Adam Yaari (CoRR, 2021)

Teaching Structured Vision&Language Concepts to Vision&Language Models. - Sivan Doveh; Assaf Arbelle; Sivan Harary; Rameswar Panda; Roei Herzig; Eli Schwartz; Donghyun Kim 006; Raja Giryes; Rogério Feris; Shimon Ullman; Leonid Karlinsky (CoRR, 2022)

Teaching Structured Vision & Language Concepts to Vision & Language Models. - Sivan Doveh; Assaf Arbelle; Sivan Harary; Eli Schwartz; Roei Herzig; Raja Giryes; Rogério Feris; Rameswar Panda; Shimon Ullman; Leonid Karlinsky (CVPR, 2023)

Attention Based Multi-Label Classification of Diabetic Retinopathy from Optical Coherence Tomography. - Dan Segev; Ronen Basri; Tomer Batash; Itay Chowers; Daniel Harari; Rivkah Lender; Jaime Levi; Yahel Shwartz; Liran Tiosano; Shimon Ullman; Meirav Galun (ISBI, 2023)

Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. - Sivan Doveh; Assaf Arbelle; Sivan Harary; Roei Herzig; Donghyun Kim 006; Paola Cascante-Bonilla; Amit Alfassy; Rameswar Panda; Raja Giryes; Rogério Feris; Shimon Ullman; Leonid Karlinsky (NeurIPS, 2023)

Top-Down Processing: Top-Down Network Combines Back-Propagation with Attention. - Roy Abel; Shimon Ullman (CoRR, 2023)

Efficient Rehearsal Free Zero Forgetting Continual Learning using Adaptive Weight Modulation. - Yonatan Sverdlov; Shimon Ullman (CoRR, 2023)

Towards Multimodal In-context Learning for Vision and Language Models. - Sivan Doveh; Shaked Perek; Muhammad Jehanzeb Mirza; Wei Lin 019; Amit Alfassy; Assaf Arbelle; Shimon Ullman; Leonid Karlinsky (ECCV Workshops (19), 2024)

Variable Resolution Improves Visual Question Answering Under a Limited Pixel Budget. - Andrey Gizdov; Shimon Ullman; Daniel Harari (ECCV Workshops (14), 2024)

Biologically Inspired Learning Model for Instructed Vision. - Roy Abel; Shimon Ullman (NeurIPS, 2024)

Towards Multimodal In-Context Learning for Vision & Language Models. - Sivan Doveh; Shaked Perek; Muhammad Jehanzeb Mirza; Amit Alfassy; Assaf Arbelle; Shimon Ullman; Leonid Karlinsky (CoRR, 2024)

Teaching VLMs to Localize Specific Objects from In-context Examples. - Sivan Doveh; Nimrod Shabtay; Wei Lin 019; Eli Schwartz; Hilde Kuehne; Raja Giryes; Rogério Feris; Leonid Karlinsky; James R. Glass; Assaf Arbelle; Shimon Ullman; Muhammad Jehanzeb Mirza (CoRR, 2024)

Seeing More with Less: Human-like Representations in Vision Models. - Andrey Gizdov; Shimon Ullman; Daniel Harari (CVPR, 2025)

From Infants to AI: Incorporating Infant-like Learning in Models Boosts Efficiency and Generalization in Learning Social Prediction Tasks. - Shify Treger; Shimon Ullman (CoRR, 2025)