Shimon Ullman

Publication Activity (10 Years)

Years Active: 1981-2023
Publications (10 Years): 45

Top Venues

CoRR

CVPR

EMNLP

CRV

Publications

Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogério Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky
Teaching Structured Vision & Language Concepts to Vision & Language Models. CVPR (2023)
Roy Abel, Shimon Ullman
Top-Down Processing: Top-Down Network Combines Back-Propagation with Attention. CoRR (2023)
Dan Segev, Ronen Basri, Tomer Batash, Itay Chowers, Daniel Harari, Rivkah Lender, Jaime Levi, Yahel Shwartz, Liran Tiosano, Shimon Ullman, Meirav Galun
Attention Based Multi-Label Classification of Diabetic Retinopathy from Optical Coherence Tomography. ISBI (2023)
Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogerio Feris, Shimon Ullman, Leonid Karlinsky
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. CoRR (2023)
Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. NeurIPS (2023)
Yonatan Sverdlov, Shimon Ullman
Efficient Rehearsal Free Zero Forgetting Continual Learning using Adaptive Weight Modulation. CoRR (2023)
Sivan Doveh, Assaf Arbelle, Sivan Harary, Rameswar Panda, Roei Herzig, Eli Schwartz, Donghyun Kim, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
Teaching Structured Vision&Language Concepts to Vision&Language Models. CoRR (2022)
Guy Ben-Yosef, Liav Assif, Daniel Harari, Shimon Ullman
A model for full local image interpretation. CoRR (2021)
Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky
Detector-Free Weakly Supervised Grounding by Separation. ICCV (2021)
Guy Ben-Yosef, Gabriel Kreiman, Shimon Ullman
What can human minimal videos tell us about dynamic recognition models? CoRR (2021)
Shimon Ullman, Liav Assif, Alona Strugatski, Ben Zion Vatashsky, Hila Levy, Aviv Netanyahu, Adam Yaari
Image interpretation by iterative bottom-up top-down processing. CoRR (2021)
Hila Levi, Shimon Ullman
Multi-Task Learning By A Top-Down Control Network. ICIP (2021)
Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky
Detector-Free Weakly Supervised Grounding by Separation. CoRR (2021)
Hanna Benoni, Daniel Harari, Shimon Ullman
What takes the brain so long: Object recognition at the level of minimal images develops for up to seconds of presentation time. CoRR (2020)
Hila Levi, Shimon Ullman
Multi-Task Learning by a Top-Down Control Network. CoRR (2020)
Ben Zion Vatashsky, Shimon Ullman
VQA With No Questions-Answers Training. CVPR (2020)
Uri Patish, Shimon Ullman
Cakewalk Sampling. AAAI (2020)
Yael Holzinger, Shimon Ullman, Daniel Harari, Marlene Behrmann, Galia Avidan
Minimal Recognizable Configurations Elicit Category-selective Responses in Higher Order Visual Cortex. J. Cogn. Neurosci. 31 (9) (2019)
Hila Levi, Shimon Ullman
Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects. BMVC (2019)
Ben Zion Vatashsky, Shimon Ullman
VQA with no questions-answers training. CoRR (2018)
Ben Zion Vatashsky, Shimon Ullman
Understand, Compose and Respond - Answering Visual Questions by a Composition of Abstract Procedures. CoRR (2018)
Hila Levi, Shimon Ullman
Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects. CoRR (2018)
Uri Patish, Shimon Ullman
Cakewalk Sampling. CoRR (2018)
Daniel Harari, Joshua B. Tenenbaum, Shimon Ullman
Discovery and usage of joint attention in images. CoRR (2018)
Amir Rosenfeld, Shimon Ullman
Action Classification via Concepts and Attributes. ICPR (2018)
Hadar Gorodissky, Daniel Harari, Shimon Ullman
Large Field and High Resolution: Detecting Needle in Haystack. CoRR (2018)
Guy Ben-Yosef, Liav Assif, Shimon Ullman
Structured learning and detailed interpretation of minimal object images. CoRR (2017)
Guy Ben-Yosef, Alon Yachin, Shimon Ullman
A Model for Interpreting Social Interactions in Local Image Regions. AAAI Spring Symposia (2017)
Guy Ben-Yosef, Alon Yachin, Shimon Ullman
A model for interpreting social interactions in local image regions. CoRR (2017)
Amir Rosenfeld, Shimon Ullman
Visual Concept Recognition and Localization via Iterative Introspection. ACCV (5) (2016)
Ita Lifshitz, Ethan Fetaya, Shimon Ullman
Human Pose Estimation using Deep Consensus Voting. CoRR (2016)
Amir Rosenfeld, Shimon Ullman
Visual Concept Recognition and Localization via Iterative Introspection. CoRR (2016)
Amir Rosenfeld, Shimon Ullman
Face-space Action Recognition by Face-Object Interactions. CoRR (2016)
Amir Rosenfeld, Shimon Ullman
Action Classification via Concepts and Attributes. CoRR (2016)
Shimon Ullman, Nimrod Dorfman, Daniel Harari
Discovering containment: from infants to machines. CoRR (2016)
Amir Rosenfeld, Shimon Ullman
Hand-Object Interaction and Precise Localization in Transitive Action Recognition. CRV (2016)
Yevgeni Berzak, Andrei Barbu, Daniel Harari, Boris Katz, Shimon Ullman
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. CoRR (2016)
Ita Lifshitz, Ethan Fetaya, Shimon Ullman
Human Pose Estimation Using Deep Consensus Voting. ECCV (2) (2016)
Daniel Harari, Tao Gao, Nancy Kanwisher, Joshua B. Tenenbaum, Shimon Ullman
Measuring and modeling the perception of natural and unconstrained gaze in humans and machines. CoRR (2016)
Ethan Fetaya, Ohad Shamir, Shimon Ullman
Graph Approximation and Clustering on a Budget. AISTATS (2015)
Ethan Fetaya, Shimon Ullman
Learning Local Invariant Mahalanobis Distances. ICML (2015)
Yevgeni Berzak, Andrei Barbu, Daniel Harari, Boris Katz, Shimon Ullman
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. EMNLP (2015)
Amir Rosenfeld, Shimon Ullman
On the Importance of Objects in Human Action Classification. CoRR (2015)
Guy Ben-Yosef, Liav Assif, Daniel Harari, Shimon Ullman
A model for full local image interpretation. CogSci (2015)
Ethan Fetaya, Shimon Ullman
Learning Local Invariant Mahalanobis Distances. CoRR (2015)
Tao Gao, Daniel Harari, Joshua B. Tenenbaum, Shimon Ullman
When Computer Vision Gazes at Cognition. CoRR (2014)
Ethan Fetaya, Ohad Shamir, Shimon Ullman
Graph Approximation and Clustering on a Budget. CoRR (2014)
Tomer Ullman, Joshua B. Tenenbaum, Noah D. Goodman, Shimon Ullman, Elizabeth S. Spelke
Minimal Nativism: How does cognitive development get off the ground? CogSci (2013)
Nimrod Dorfman, Daniel Harari, Shimon Ullman
Learning to perceive coherent objects. CogSci (2013)
Daniel Harari, Shimon Ullman
Extending Recognition in a Changing Environment. VISAPP (1) (2013)
Leonid Karlinsky, Shimon Ullman
Using Linking Features in Learning Non-parametric Part Models. ECCV (3) (2012)
Barbara Tversky, Shimon Ullman, Dare A. Baldwin, Frank E. Pollick, Joshua B. Tenenbaum, Tao Gao, Peter C. Pantelis, David Pautler
Modeling the Perception of Intentions. CogSci (2012)
Shimon Ullman, Daniel Harari, Nimrod Dorfman
From simple innate biases to complex visual concepts. Proc. Natl. Acad. Sci. USA 109 (44) (2012)
Leonid Karlinsky, Michael Dinerstein, Shimon Ullman
Using body-anchored priors for identifying actions in single images. NIPS (2010)
Leonid Karlinsky, Michael Dinerstein, Daniel Harari, Shimon Ullman
The chains model for detecting parts by their context. CVPR (2010)
Dan Levi, Shimon Ullman
Learning to classify by ongoing feature selection. Image Vis. Comput. 28 (4) (2010)
Dan Levi, Shimon Ullman
Learning Model Complexity in an Online Environment. CRV (2009)
Leonid Karlinsky, Michael Dinerstein, Shimon Ullman
Unsupervised feature optimization (UFO): Simultaneous selection of multiple features with their detection parameters. CVPR (2009)
Ady Ecker, Shimon Ullman
A hierarchical non-parametric method for capturing non-rigid deformations. Image Vis. Comput. 27 (1-2) (2009)
Shai Litvak, Shimon Ullman
Cortical Circuitry Implementing Graphical Models. Neural Comput. 21 (11) (2009)
Michael Fink, Shimon Ullman
From Aardvark to Zorro: A Benchmark for Mammal Image Classification. Int. J. Comput. Vis. 77 (1-3) (2008)
Ayelet Akselrod-Ballin, Shimon Ullman
Distinctive and compact features. Image Vis. Comput. 26 (9) (2008)
Eran Borenstein, Shimon Ullman
Combined Top-Down/Bottom-Up Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 30 (12) (2008)
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Shimon Ullman
Unsupervised Classification and Part Localization by Consistency Amplification. ECCV (2) (2008)
Yulia Lerner, Boris Epshtein, Shimon Ullman, Rafael Malach
Class Information Predicts Activation by Object Fragments in Human Object Areas. J. Cogn. Neurosci. 20 (7) (2008)
Evgeniy Bart, Shimon Ullman
Class-Based Feature Matching Across Unrestricted Transformations. IEEE Trans. Pattern Anal. Mach. Intell. 30 (9) (2008)
Boris Epshtein, Ita Lifshitz, Shimon Ullman
Image interpretation by a single bottom-up top-down cycle. Proc. Natl. Acad. Sci. USA 105 (38) (2008)
Boris Epshtein, Shimon Ullman
Semantic Hierarchies for Recognizing Objects and Parts. CVPR (2007)
Yonatan Amit, Michael Fink, Nathan Srebro, Shimon Ullman
Uncovering shared structures in multiclass classification. ICML (2007)
Shimon Ullman, Boris Epshtein
Visual Classification by a Hierarchy of Extended Fragments. Toward Category-Level Object Recognition (2006)
Dan Levi, Shimon Ullman
Learning to classify by ongoing feature selection. CRV (2006)
Boris Epshtein, Shimon Ullman
Satellite Features for the Classification of Visually Similar Classes. CVPR (2) (2006)
Michael Fink, Shai Shalev-Shwartz, Yoram Singer, Shimon Ullman
Online multiclass learning by interclass hypothesis sharing. ICML (2006)
Evgeniy Bart, Shimon Ullman
Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement. CVPR (1) (2005)
Boris Epshtein, Shimon Ullman
Feature Hierarchies for Object Classification. ICCV (2005)
Boris Epshtein, Shimon Ullman
Identifying Semantically Equivalent Object Fragments. CVPR (1) (2005)
Evgeniy Bart, Shimon Ullman
Single-example Learning of Novel Classes using Representation by Similarity. BMVC (2005)
Ady Ecker, Shimon Ullman
A Hierarchical Non-Parametric Method for Capturing Non-Rigid Deformations. CRV (2005)
Evgeniy Bart, Shimon Ullman
Image normalization by mutual information. BMVC (2004)
Shimon Ullman, Evgeniy Bart
Recognition invariance obtained by extended and invariant features. Neural Networks 17 (5-6) (2004)
Eran Borenstein, Eitan Sharon, Shimon Ullman
Combining Top-Down and Bottom-Up Segmentation. CVPR Workshops (2004)
Eran Borenstein, Shimon Ullman
Learning to Segment. ECCV (3) (2004)
Evgeniy Bart, Evgeny Byvatov, Shimon Ullman
View-Invariant Recognition Using Corresponding Object Fragments. ECCV (2) (2004)
Evgeniy Bart, Shimon Ullman
Class-Based Matching of Object Parts. CVPR Workshops (2004)
Michel Vidal-Naquet, Shimon Ullman
Object Recognition with Informative Features and Linear Classification. ICCV (2003)
Eran Borenstein, Shimon Ullman
Class-Specific, Top-Down Segmentation. ECCV (2) (2002)
Shimon Ullman, Erez Sali, Michel Vidal-Naquet
A Fragment-Based Approach to Object Representation and Classification. IWVF (2001)
Shimon Ullman, Erez Sali
Object Classification Using a Fragment-Based Representation. Biologically Motivated Computer Vision (2000)
Shimon Ullman, Sergei Soloviev
Computation of pattern invariance in brain-like structures. Neural Networks 12 (7-8) (1999)
Erez Sali, Shimon Ullman
Combining Class-Specific Fragments for Object Classification. BMVC (1999)
Chen Brestel, Shimon Ullman
Multi-view modeling & synthesis. EUSIPCO (1998)
Yael Moses, Shimon Ullman
Generalization to Novel Views: Universal, Class-based, and Model-based Processing. Int. J. Comput. Vis. 29 (3) (1998)
Erez Sali, Shimon Ullman
Recognizing Novel 3-D Objects Under New Illumination and Viewing Position Using a Small Number of Examples. ICCV (1998)
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) (1997)
Shimon Ullman, Assaf Zeira
Object Recognition Using Stochastic Optimization. EMMCVPR (1997)
Shimon Ullman
Visual Object Recognition. ISTCS (1996)
Michael Kositsky, Shimon Ullman
Learning class regions by the union of ellipsoids. ICPR (1996)
Yael Moses, Yael Adini, Shimon Ullman
Face Recognition: the Problem of Compensating for Changes in Illumination Direction. ECCV (1) (1994)
Ivan A. Bachelder, Shimon Ullman
Contour matching using local affine transformations. CVPR (1992)
Yael Moses, Shimon Ullman
Limitations of Non Model-Based Recognition Schemes. ECCV (1992)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shimon Ullman