Shimon Ullman - RankMe

121 papers A* 23A 5B 8Journal 51Unranked 31

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	From Infants to AI: Incorporating Infant-like Learning in Models Boosts Efficiency and Generalization in Learning Social Prediction Tasks. CogSci Shify Treger, Shimon Ullman
2025	J	`jnl`	From Infants to AI: Incorporating Infant-like Learning in Models Boosts Efficiency and Generalization in Learning Social Prediction Tasks. CoRR Shify Treger, Shimon Ullman
2025	A*	`conf`	Seeing More with Less: Human-like Representations in Vision Models. CVPR Andrey Gizdov, Shimon Ullman, Daniel Harari
2024	A*	`conf`	Biologically Inspired Learning Model for Instructed Vision. NeurIPS Roy Abel, Shimon Ullman
2024	J	`jnl`	Teaching VLMs to Localize Specific Objects from In-context Examples. CoRR Sivan Doveh, Nimrod Shabtay, Wei Lin, Eli Schwartz, Hilde Kuehne, Raja Giryes, Rogério Feris, Leonid Karlinsky, James R. Glass, Assaf Arbelle, Shimon Ullman, Muhammad Jehanzeb Mirza
2024	J	`jnl`	Towards Multimodal In-Context Learning for Vision & Language Models. CoRR Sivan Doveh, Shaked Perek, Muhammad Jehanzeb Mirza, Amit Alfassy, Assaf Arbelle, Shimon Ullman, Leonid Karlinsky
2024	—	`conf`	Towards Multimodal In-context Learning for Vision and Language Models. ECCV Workshops (19) Sivan Doveh, Shaked Perek, Muhammad Jehanzeb Mirza, Wei Lin, Amit Alfassy, Assaf Arbelle, Shimon Ullman, Leonid Karlinsky
2024	—	`conf`	Variable Resolution Improves Visual Question Answering Under a Limited Pixel Budget. ECCV Workshops (14) Andrey Gizdov, Shimon Ullman, Daniel Harari
2023	—	`conf`	Attention Based Multi-Label Classification of Diabetic Retinopathy from Optical Coherence Tomography. ISBI Dan Segev, Ronen Basri, Tomer Batash, Itay Chowers, Daniel Harari, Rivkah Lender, Jaime Levi, Yahel Shwartz, Liran Tiosano, Shimon Ullman, Meirav Galun
2023	A*	`conf`	Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. NeurIPS 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
2023	J	`jnl`	Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. CoRR 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
2023	J	`jnl`	Efficient Rehearsal Free Zero Forgetting Continual Learning using Adaptive Weight Modulation. CoRR Yonatan Sverdlov, Shimon Ullman
2023	A*	`conf`	Teaching Structured Vision & Language Concepts to Vision & Language Models. CVPR Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogério Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky
2023	J	`jnl`	Top-Down Processing: Top-Down Network Combines Back-Propagation with Attention. CoRR Roy Abel, Shimon Ullman
2022	J	`jnl`	Teaching Structured Vision&Language Concepts to Vision&Language Models. CoRR Sivan Doveh, Assaf Arbelle, Sivan Harary, Rameswar Panda, Roei Herzig, Eli Schwartz, Donghyun Kim, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2021	J	`jnl`	A model for full local image interpretation. CoRR Guy Ben-Yosef, Liav Assif, Daniel Harari, Shimon Ullman
2021	A*	`conf`	Detector-Free Weakly Supervised Grounding by Separation. ICCV 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
2021	J	`jnl`	Detector-Free Weakly Supervised Grounding by Separation. CoRR 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
2021	J	`jnl`	Image interpretation by iterative bottom-up top-down processing. CoRR Shimon Ullman, Liav Assif, Alona Strugatski, Ben Zion Vatashsky, Hila Levy, Aviv Netanyahu, Adam Yaari
2021	B	`conf`	Multi-Task Learning By A Top-Down Control Network. ICIP Hila Levi, Shimon Ullman
2021	J	`jnl`	What can human minimal videos tell us about dynamic recognition models? CoRR Guy Ben-Yosef, Gabriel Kreiman, Shimon Ullman
2020	A*	`conf`	Cakewalk Sampling. AAAI Uri Patish, Shimon Ullman
2020	J	`jnl`	Multi-Task Learning by a Top-Down Control Network. CoRR Hila Levi, Shimon Ullman
2020	A*	`conf`	VQA With No Questions-Answers Training. CVPR Ben Zion Vatashsky, Shimon Ullman
2020	J	`jnl`	What takes the brain so long: Object recognition at the level of minimal images develops for up to seconds of presentation time. CoRR Hanna Benoni, Daniel Harari, Shimon Ullman
2019	A	`conf`	Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects. BMVC Hila Levi, Shimon Ullman
2019	J	`jnl`	Minimal Recognizable Configurations Elicit Category-selective Responses in Higher Order Visual Cortex. J. Cogn. Neurosci. Yael Holzinger, Shimon Ullman, Daniel Harari, Marlene Behrmann, Galia Avidan
2018	B	`conf`	Action Classification via Concepts and Attributes. ICPR Amir Rosenfeld, Shimon Ullman
2018	J	`jnl`	Cakewalk Sampling. CoRR Uri Patish, Shimon Ullman
2018	J	`jnl`	Discovery and usage of joint attention in images. CoRR Daniel Harari, Joshua B. Tenenbaum, Shimon Ullman
2018	J	`jnl`	Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects. CoRR Hila Levi, Shimon Ullman
2018	J	`jnl`	Large Field and High Resolution: Detecting Needle in Haystack. CoRR Hadar Gorodissky, Daniel Harari, Shimon Ullman
2018	J	`jnl`	Understand, Compose and Respond - Answering Visual Questions by a Composition of Abstract Procedures. CoRR Ben Zion Vatashsky, Shimon Ullman
2018	J	`jnl`	VQA with no questions-answers training. CoRR Ben Zion Vatashsky, Shimon Ullman
2017	—	`conf`	A Model for Interpreting Social Interactions in Local Image Regions. AAAI Spring Symposia Guy Ben-Yosef, Alon Yachin, Shimon Ullman
2017	J	`jnl`	A model for interpreting social interactions in local image regions. CoRR Guy Ben-Yosef, Alon Yachin, Shimon Ullman
2017	J	`jnl`	Structured learning and detailed interpretation of minimal object images. CoRR Guy Ben-Yosef, Liav Assif, Shimon Ullman
2016	J	`jnl`	Action Classification via Concepts and Attributes. CoRR Amir Rosenfeld, Shimon Ullman
2016	J	`jnl`	Discovering containment: from infants to machines. CoRR Shimon Ullman, Nimrod Dorfman, Daniel Harari
2016	J	`jnl`	Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. CoRR Yevgeni Berzak, Andrei Barbu, Daniel Harari, Boris Katz, Shimon Ullman
2016	J	`jnl`	Face-space Action Recognition by Face-Object Interactions. CoRR Amir Rosenfeld, Shimon Ullman
2016	—	`conf`	Hand-Object Interaction and Precise Localization in Transitive Action Recognition. CRV Amir Rosenfeld, Shimon Ullman
2016	—	`conf`	Human Pose Estimation Using Deep Consensus Voting. ECCV (2) Ita Lifshitz, Ethan Fetaya, Shimon Ullman
2016	J	`jnl`	Human Pose Estimation using Deep Consensus Voting. CoRR Ita Lifshitz, Ethan Fetaya, Shimon Ullman
2016	J	`jnl`	Measuring and modeling the perception of natural and unconstrained gaze in humans and machines. CoRR Daniel Harari, Tao Gao, Nancy Kanwisher, Joshua B. Tenenbaum, Shimon Ullman
2016	—	`conf`	Visual Concept Recognition and Localization via Iterative Introspection. ACCV (5) Amir Rosenfeld, Shimon Ullman
2016	J	`jnl`	Visual Concept Recognition and Localization via Iterative Introspection. CoRR Amir Rosenfeld, Shimon Ullman
2015	B	`conf`	A model for full local image interpretation. CogSci Guy Ben-Yosef, Liav Assif, Daniel Harari, Shimon Ullman
2015	A*	`conf`	Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. EMNLP Yevgeni Berzak, Andrei Barbu, Daniel Harari, Boris Katz, Shimon Ullman
2015	A	`conf`	Graph Approximation and Clustering on a Budget. AISTATS Ethan Fetaya, Ohad Shamir, Shimon Ullman
2015	A*	`conf`	Learning Local Invariant Mahalanobis Distances. ICML Ethan Fetaya, Shimon Ullman
2015	J	`jnl`	Learning Local Invariant Mahalanobis Distances. CoRR Ethan Fetaya, Shimon Ullman
2015	J	`jnl`	On the Importance of Objects in Human Action Classification. CoRR Amir Rosenfeld, Shimon Ullman
2014	J	`jnl`	Graph Approximation and Clustering on a Budget. CoRR Ethan Fetaya, Ohad Shamir, Shimon Ullman
2014	—	`ch.`	Machine Recognition of Objects. Computer Vision, A Reference Guide Tomaso A. Poggio, Shimon Ullman
2014	—	`ch.`	Visual Cortex Models for Object Recognition. Computer Vision, A Reference Guide Tomaso A. Poggio, Shimon Ullman
2014	J	`jnl`	When Computer Vision Gazes at Cognition. CoRR Tao Gao, Daniel Harari, Joshua B. Tenenbaum, Shimon Ullman
2013	—	`conf`	Extending Recognition in a Changing Environment. VISAPP (1) Daniel Harari, Shimon Ullman
2013	B	`conf`	Learning to perceive coherent objects. CogSci Nimrod Dorfman, Daniel Harari, Shimon Ullman
2013	B	`conf`	Minimal Nativism: How does cognitive development get off the ground? CogSci Tomer D. Ullman, Joshua B. Tenenbaum, Noah D. Goodman, Shimon Ullman, Elizabeth S. Spelke
2012	J	`jnl`	From simple innate biases to complex visual concepts. Proc. Natl. Acad. Sci. USA Shimon Ullman, Daniel Harari, Nimrod Dorfman
2012	B	`conf`	Modeling the Perception of Intentions. CogSci Barbara Tversky, Shimon Ullman, Dare A. Baldwin, Frank E. Pollick, Joshua B. Tenenbaum, Tao Gao, Peter C. Pantelis, David Pautler
2012	—	`conf`	Using Linking Features in Learning Non-parametric Part Models. ECCV (3) Leonid Karlinsky, Shimon Ullman
2010	J	`jnl`	Learning to classify by ongoing feature selection. Image Vis. Comput. Dan Levi, Shimon Ullman
2010	A*	`conf`	The chains model for detecting parts by their context. CVPR Leonid Karlinsky, Michael Dinerstein, Daniel Harari, Shimon Ullman
2010	—	`conf`	Using body-anchored priors for identifying actions in single images. NIPS Leonid Karlinsky, Michael Dinerstein, Shimon Ullman
2009	J	`jnl`	A hierarchical non-parametric method for capturing non-rigid deformations. Image Vis. Comput. Ady Ecker, Shimon Ullman
2009	J	`jnl`	Cortical Circuitry Implementing Graphical Models. Neural Comput. Shai Litvak, Shimon Ullman
2009	—	`conf`	Learning Model Complexity in an Online Environment. CRV Dan Levi, Shimon Ullman
2009	A*	`conf`	Unsupervised feature optimization (UFO): Simultaneous selection of multiple features with their detection parameters. CVPR Leonid Karlinsky, Michael Dinerstein, Shimon Ullman
2008	J	`jnl`	Class Information Predicts Activation by Object Fragments in Human Object Areas. J. Cogn. Neurosci. Yulia Lerner, Boris Epshtein, Shimon Ullman, Rafael Malach
2008	J	`jnl`	Class-Based Feature Matching Across Unrestricted Transformations. IEEE Trans. Pattern Anal. Mach. Intell. Evgeniy Bart, Shimon Ullman
2008	J	`jnl`	Combined Top-Down/Bottom-Up Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Eran Borenstein, Shimon Ullman
2008	J	`jnl`	Distinctive and compact features. Image Vis. Comput. Ayelet Akselrod-Ballin, Shimon Ullman
2008	J	`jnl`	From Aardvark to Zorro: A Benchmark for Mammal Image Classification. Int. J. Comput. Vis. Michael Fink, Shimon Ullman
2008	J	`jnl`	Image interpretation by a single bottom-up top-down cycle. Proc. Natl. Acad. Sci. USA Boris Epshtein, Ita Lifshitz, Shimon Ullman
2008	—	`conf`	Unsupervised Classification and Part Localization by Consistency Amplification. ECCV (2) Leonid Karlinsky, Michael Dinerstein, Dan Levi, Shimon Ullman
2007	A*	`conf`	Semantic Hierarchies for Recognizing Objects and Parts. CVPR Boris Epshtein, Shimon Ullman
2007	A*	`conf`	Uncovering shared structures in multiclass classification. ICML Yonatan Amit, Michael Fink, Nathan Srebro, Shimon Ullman
2006	—	`conf`	Learning to classify by ongoing feature selection. CRV Dan Levi, Shimon Ullman
2006	A*	`conf`	Online multiclass learning by interclass hypothesis sharing. ICML Michael Fink, Shai Shalev-Shwartz, Yoram Singer, Shimon Ullman
2006	—	`conf`	Satellite Features for the Classification of Visually Similar Classes. CVPR (2) Boris Epshtein, Shimon Ullman
2006	—	`conf`	Visual Classification by a Hierarchy of Extended Fragments. Toward Category-Level Object Recognition Shimon Ullman, Boris Epshtein
2005	—	`conf`	A Hierarchical Non-Parametric Method for Capturing Non-Rigid Deformations. CRV Ady Ecker, Shimon Ullman
2005	—	`conf`	Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement. CVPR (1) Evgeniy Bart, Shimon Ullman
2005	A*	`conf`	Feature Hierarchies for Object Classification. ICCV Boris Epshtein, Shimon Ullman
2005	—	`conf`	Identifying Semantically Equivalent Object Fragments. CVPR (1) Boris Epshtein, Shimon Ullman
2005	A	`conf`	Single-example Learning of Novel Classes using Representation by Similarity. BMVC Evgeniy Bart, Shimon Ullman
2004	—	`conf`	Class-Based Matching of Object Parts. CVPR Workshops Evgeniy Bart, Shimon Ullman
2004	—	`conf`	Combining Top-Down and Bottom-Up Segmentation. CVPR Workshops Eran Borenstein, Eitan Sharon, Shimon Ullman
2004	A	`conf`	Image normalization by mutual information. BMVC Evgeniy Bart, Shimon Ullman
2004	—	`conf`	Learning to Segment. ECCV (3) Eran Borenstein, Shimon Ullman
2004	J	`jnl`	Recognition invariance obtained by extended and invariant features. Neural Networks Shimon Ullman, Evgeniy Bart
2004	—	`conf`	View-Invariant Recognition Using Corresponding Object Fragments. ECCV (2) Evgeniy Bart, Evgeny Byvatov, Shimon Ullman
2003	A*	`conf`	Object Recognition with Informative Features and Linear Classification. ICCV Michel Vidal-Naquet, Shimon Ullman
2002	—	`conf`	Class-Specific, Top-Down Segmentation. ECCV (2) Eran Borenstein, Shimon Ullman
2001	—	`conf`	A Fragment-Based Approach to Object Representation and Classification. IWVF Shimon Ullman, Erez Sali, Michel Vidal-Naquet
2000	—	`conf`	Object Classification Using a Fragment-Based Representation. Biologically Motivated Computer Vision Shimon Ullman, Erez Sali
1999	A	`conf`	Combining Class-Specific Fragments for Object Classification. BMVC Erez Sali, Shimon Ullman
1999	J	`jnl`	Computation of pattern invariance in brain-like structures. Neural Networks Shimon Ullman, Sergei Soloviev
1998	J	`jnl`	Generalization to Novel Views: Universal, Class-based, and Model-based Processing. Int. J. Comput. Vis. Yael Moses, Shimon Ullman
1998	—	`conf`	Multi-view modeling & synthesis. EUSIPCO Chen Brestel, Shimon Ullman
1998	A*	`conf`	Recognizing Novel 3-D Objects Under New Illumination and Viewing Position Using a Small Number of Examples. ICCV Erez Sali, Shimon Ullman
1997	J	`jnl`	Face Recognition: The Problem of Compensating for Changes in Illumination Direction. IEEE Trans. Pattern Anal. Mach. Intell. Yael Adini, Yael Moses, Shimon Ullman
1997	—	`conf`	Object Recognition Using Stochastic Optimization. EMMCVPR Shimon Ullman, Assaf Zeira
1996	B	`conf`	Learning class regions by the union of ellipsoids. ICPR Michael Kositsky, Shimon Ullman
1996	—	`conf`	Visual Object Recognition. ISTCS Shimon Ullman
1994	—	`conf`	Face Recognition: the Problem of Compensating for Changes in Illumination Direction. ECCV (1) Yael Moses, Yael Adini, Shimon Ullman
1992	A*	`conf`	Contour matching using local affine transformations. CVPR Ivan A. Bachelder, Shimon Ullman
1992	A*	`conf`	Limitations of Non Model-Based Recognition Schemes. ECCV Yael Moses, Shimon Ullman
1991	A*	`conf`	A Pictorial Approach to Object Classification. IJCAI Yerucham Shapira, Shimon Ullman
1991	—	`conf`	Linear Operator for Object Recognition. NIPS Ronen Basri, Shimon Ullman
1991	J	`jnl`	Recognition by Linear Combinations of Models. IEEE Trans. Pattern Anal. Mach. Intell. Shimon Ullman, Ronen Basri
1990	—	`conf`	Grouping Contours by Iterated Pairing Networks. NIPS Amnon Shashua, Shimon Ullman
1990	J	`jnl`	Reading cursive handwriting by alignment of letter prototypes. Int. J. Comput. Vis. Shimon Edelman, Tamar Flash, Shimon Ullman
1990	J	`jnl`	Recognizing solid objects by alignment with an image. Int. J. Comput. Vis. Daniel P. Huttenlocher, Shimon Ullman
1988	A*	`conf`	Aligning A Model To An Image Using Minimal Information. ICCV Doron Shoham, Shimon Ullman
1988	A*	`conf`	Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network. ICCV Amnon Shashua, Shimon Ullman
1988	A*	`conf`	The Alignment Of Objects With Smooth Surfaces. ICCV Ronen Basri, Shimon Ullman
1981	J	`jnl`	Analysis of Visual Motion by Biological and Computer Systems. Computer Shimon Ullman
1977	—	`—`	The interpretation of visual motion. Shimon Ullman