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ORCIDShimon Ullman
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- affiliation: Weizmann Institute of Science, Israel
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2020 – today
- 2024
[i30]Sivan Doveh, Shaked Perek, Muhammad Jehanzeb Mirza, Amit Alfassy, Assaf Arbelle, Shimon Ullman, Leonid Karlinsky:
Towards Multimodal In-Context Learning for Vision & Language Models. CoRR abs/2403.12736 (2024)- 2023
- [c62]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: 2657-2668 - [c61]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: 1-5 - [c60]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 - [i29]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. CoRR abs/2305.19595 (2023) - [i28]Roy Abel, Shimon Ullman:
Top-Down Processing: Top-Down Network Combines Back-Propagation with Attention. CoRR abs/2306.02415 (2023) - [i27]Yonatan Sverdlov, Shimon Ullman:
Efficient Rehearsal Free Zero Forgetting Continual Learning using Adaptive Weight Modulation. CoRR abs/2311.15276 (2023) - 2022
- [i26]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 abs/2211.11733 (2022) - 2021
- [c59]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: 1781-1792 - [c58]Hila Levi, Shimon Ullman:
Multi-Task Learning By A Top-Down Control Network. ICIP 2021: 2553-2557 - [i25]Guy Ben-Yosef, Gabriel Kreiman, Shimon Ullman:
What can human minimal videos tell us about dynamic recognition models? CoRR abs/2104.09447 (2021) - [i24]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 abs/2104.09829 (2021) - [i23]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 abs/2105.05592 (2021) - [i22]Guy Ben-Yosef, Liav Assif, Daniel Harari, Shimon Ullman:
A model for full local image interpretation. CoRR abs/2110.08744 (2021) - 2020
- [c57]Uri Patish, Shimon Ullman:
Cakewalk Sampling. AAAI 2020: 2400-2407 - [c56]Ben Zion Vatashsky, Shimon Ullman:
VQA With No Questions-Answers Training. CVPR 2020: 10373-10383 - [i21]Hila Levi, Shimon Ullman:
Multi-Task Learning by a Top-Down Control Network. CoRR abs/2002.03335 (2020) - [i20]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 abs/2006.05249 (2020)
2010 – 2019
- 2019
- [j19]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): 1354-1367 (2019) - [c55]Hila Levi, Shimon Ullman:
Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects. BMVC 2019: 220 - 2018
- [c54]Amir Rosenfeld, Shimon Ullman:
Action Classification via Concepts and Attributes. ICPR 2018: 1499-1505 - [i19]Uri Patish, Shimon Ullman:
Cakewalk Sampling. CoRR abs/1802.09030 (2018) - [i18]Hadar Gorodissky, Daniel Harari, Shimon Ullman:
Large Field and High Resolution: Detecting Needle in Haystack. CoRR abs/1804.03576 (2018) - [i17]Daniel Harari, Joshua B. Tenenbaum, Shimon Ullman:
Discovery and usage of joint attention in images. CoRR abs/1804.04604 (2018) - [i16]Ben Zion Vatashsky, Shimon Ullman:
Understand, Compose and Respond - Answering Visual Questions by a Composition of Abstract Procedures. CoRR abs/1810.10656 (2018) - [i15]Ben Zion Vatashsky, Shimon Ullman:
VQA with no questions-answers training. CoRR abs/1811.08481 (2018) - [i14]Hila Levi, Shimon Ullman:
Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects. CoRR abs/1811.12152 (2018) - 2017
- [c53]Guy Ben-Yosef, Alon Yachin, Shimon Ullman:
A Model for Interpreting Social Interactions in Local Image Regions. AAAI Spring Symposia 2017 - [i13]Guy Ben-Yosef, Liav Assif, Shimon Ullman:
Structured learning and detailed interpretation of minimal object images. CoRR abs/1711.11151 (2017) - [i12]Guy Ben-Yosef, Alon Yachin, Shimon Ullman:
A model for interpreting social interactions in local image regions. CoRR abs/1712.09299 (2017) - 2016
- [c52]Amir Rosenfeld, Shimon Ullman:
Visual Concept Recognition and Localization via Iterative Introspection. ACCV (5) 2016: 264-279 - [c51]Amir Rosenfeld, Shimon Ullman:
Hand-Object Interaction and Precise Localization in Transitive Action Recognition. CRV 2016: 148-155 - [c50]Ita Lifshitz, Ethan Fetaya, Shimon Ullman:
Human Pose Estimation Using Deep Consensus Voting. ECCV (2) 2016: 246-260 - [i11]Amir Rosenfeld, Shimon Ullman:
Face-space Action Recognition by Face-Object Interactions. CoRR abs/1601.04293 (2016) - [i10]Amir Rosenfeld, Shimon Ullman:
Visual Concept Recognition and Localization via Iterative Introspection. CoRR abs/1603.04186 (2016) - [i9]Yevgeni Berzak, Andrei Barbu, Daniel Harari, Boris Katz, Shimon Ullman:
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. CoRR abs/1603.08079 (2016) - [i8]Ita Lifshitz, Ethan Fetaya, Shimon Ullman:
Human Pose Estimation using Deep Consensus Voting. CoRR abs/1603.08212 (2016) - [i7]Amir Rosenfeld, Shimon Ullman:
Action Classification via Concepts and Attributes. CoRR abs/1605.07824 (2016) - [i6]Shimon Ullman, Nimrod Dorfman, Daniel Harari:
Discovering containment: from infants to machines. CoRR abs/1610.09625 (2016) - [i5]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 abs/1611.09819 (2016) - 2015
- [c49]Ethan Fetaya, Ohad Shamir, Shimon Ullman:
Graph Approximation and Clustering on a Budget. AISTATS 2015 - [c48]Guy Ben-Yosef, Liav Assif, Daniel Harari, Shimon Ullman:
A model for full local image interpretation. CogSci 2015 - [c47]Yevgeni Berzak, Andrei Barbu, Daniel Harari, Boris Katz, Shimon Ullman:
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. EMNLP 2015: 1477-1487 - [c46]Ethan Fetaya, Shimon Ullman:
Learning Local Invariant Mahalanobis Distances. ICML 2015: 162-168 - [i4]Ethan Fetaya, Shimon Ullman:
Learning Local Invariant Mahalanobis Distances. CoRR abs/1502.01176 (2015) - [i3]Amir Rosenfeld, Shimon Ullman:
On the Importance of Objects in Human Action Classification. CoRR abs/1511.03814 (2015) - 2014
- [r2]Tomaso A. Poggio, Shimon Ullman:
Machine Recognition of Objects. Computer Vision, A Reference Guide 2014: 469-472 - [r1]Tomaso A. Poggio, Shimon Ullman:
Visual Cortex Models for Object Recognition. Computer Vision, A Reference Guide 2014: 862-866 - [i2]Ethan Fetaya, Ohad Shamir, Shimon Ullman:
Graph Approximation and Clustering on a Budget. CoRR abs/1406.2602 (2014) - [i1]Tao Gao, Daniel Harari, Joshua B. Tenenbaum, Shimon Ullman:
When Computer Vision Gazes at Cognition. CoRR abs/1412.2672 (2014) - 2013
- [c45]Nimrod Dorfman, Daniel Harari, Shimon Ullman:
Learning to perceive coherent objects. CogSci 2013 - [c44]Tomer D. Ullman, Joshua B. Tenenbaum, Noah D. Goodman, Shimon Ullman, Elizabeth S. Spelke:
Minimal Nativism: How does cognitive development get off the ground? CogSci 2013 - [c43]Daniel Harari, Shimon Ullman:
Extending Recognition in a Changing Environment. VISAPP (1) 2013: 632-640 - 2012
- [j18]Shimon Ullman, Daniel Harari, Nimrod Dorfman:
From simple innate biases to complex visual concepts. Proc. Natl. Acad. Sci. USA 109(44): 18215-18220 (2012) - [c42]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 - [c41]Leonid Karlinsky, Shimon Ullman:
Using Linking Features in Learning Non-parametric Part Models. ECCV (3) 2012: 326-339 - 2010
- [j17]Dan Levi, Shimon Ullman:
Learning to classify by ongoing feature selection. Image Vis. Comput. 28(4): 715-723 (2010) - [c40]Leonid Karlinsky, Michael Dinerstein, Daniel Harari, Shimon Ullman:
The chains model for detecting parts by their context. CVPR 2010: 25-32 - [c39]Leonid Karlinsky, Michael Dinerstein, Shimon Ullman:
Using body-anchored priors for identifying actions in single images. NIPS 2010: 1072-1080
2000 – 2009
- 2009
- [j16]Ady Ecker, Shimon Ullman:
A hierarchical non-parametric method for capturing non-rigid deformations. Image Vis. Comput. 27(1-2): 87-98 (2009) - [j15]Shai Litvak, Shimon Ullman:
Cortical Circuitry Implementing Graphical Models. Neural Comput. 21(11): 3010-3056 (2009) - [c38]Dan Levi, Shimon Ullman:
Learning Model Complexity in an Online Environment. CRV 2009: 260-267 - [c37]Leonid Karlinsky, Michael Dinerstein, Shimon Ullman:
Unsupervised feature optimization (UFO): Simultaneous selection of multiple features with their detection parameters. CVPR 2009: 1263-1270 - 2008
- [j14]Michael Fink, Shimon Ullman:
From Aardvark to Zorro: A Benchmark for Mammal Image Classification. Int. J. Comput. Vis. 77(1-3): 143-156 (2008) - [j13]Ayelet Akselrod-Ballin, Shimon Ullman:
Distinctive and compact features. Image Vis. Comput. 26(9): 1269-1276 (2008) - [j12]Yulia Lerner, Boris Epshtein, Shimon Ullman, Rafael Malach:
Class Information Predicts Activation by Object Fragments in Human Object Areas. J. Cogn. Neurosci. 20(7): 1189-1206 (2008) - [j11]Evgeniy Bart, Shimon Ullman:
Class-Based Feature Matching Across Unrestricted Transformations. IEEE Trans. Pattern Anal. Mach. Intell. 30(9): 1618-1631 (2008) - [j10]Eran Borenstein, Shimon Ullman:
Combined Top-Down/Bottom-Up Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 30(12): 2109-2125 (2008) - [j9]Boris Epshtein, Ita Lifshitz, Shimon Ullman:
Image interpretation by a single bottom-up top-down cycle. Proc. Natl. Acad. Sci. USA 105(38): 14298-14303 (2008) - [c36]Leonid Karlinsky, Michael Dinerstein, Dan Levi, Shimon Ullman:
Unsupervised Classification and Part Localization by Consistency Amplification. ECCV (2) 2008: 321-335 - 2007
- [c35]Boris Epshtein, Shimon Ullman:
Semantic Hierarchies for Recognizing Objects and Parts. CVPR 2007 - [c34]Yonatan Amit, Michael Fink, Nathan Srebro, Shimon Ullman:
Uncovering shared structures in multiclass classification. ICML 2007: 17-24 - 2006
- [c33]Shimon Ullman, Boris Epshtein:
Visual Classification by a Hierarchy of Extended Fragments. Toward Category-Level Object Recognition 2006: 321-344 - [c32]Dan Levi, Shimon Ullman:
Learning to classify by ongoing feature selection. CRV 2006: 1 - [c31]Boris Epshtein, Shimon Ullman:
Satellite Features for the Classification of Visually Similar Classes. CVPR (2) 2006: 2079-2086 - [c30]Michael Fink, Shai Shalev-Shwartz, Yoram Singer, Shimon Ullman:
Online multiclass learning by interclass hypothesis sharing. ICML 2006: 313-320 - 2005
- [c29]Evgeniy Bart, Shimon Ullman:
Single-example Learning of Novel Classes using Representation by Similarity. BMVC 2005 - [c28]Ady Ecker, Shimon Ullman:
A Hierarchical Non-Parametric Method for Capturing Non-Rigid Deformations. CRV 2005: 50-56 - [c27]Boris Epshtein, Shimon Ullman:
Identifying Semantically Equivalent Object Fragments. CVPR (1) 2005: 2-9 - [c26]Evgeniy Bart, Shimon Ullman:
Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement. CVPR (1) 2005: 672-679 - [c25]Boris Epshtein, Shimon Ullman:
Feature Hierarchies for Object Classification. ICCV 2005: 220-227 - 2004
- [j8]Shimon Ullman, Evgeniy Bart:
Recognition invariance obtained by extended and invariant features. Neural Networks 17(5-6): 833-848 (2004) - [c24]Evgeniy Bart, Shimon Ullman:
Image normalization by mutual information. BMVC 2004: 1-10 - [c23]Eran Borenstein, Eitan Sharon, Shimon Ullman:
Combining Top-Down and Bottom-Up Segmentation. CVPR Workshops 2004: 46 - [c22]Evgeniy Bart, Shimon Ullman:
Class-Based Matching of Object Parts. CVPR Workshops 2004: 173 - [c21]Evgeniy Bart, Evgeny Byvatov, Shimon Ullman:
View-Invariant Recognition Using Corresponding Object Fragments. ECCV (2) 2004: 152-165 - [c20]Eran Borenstein, Shimon Ullman:
Learning to Segment. ECCV (3) 2004: 315-328 - 2003
- [c19]Michel Vidal-Naquet, Shimon Ullman:
Object Recognition with Informative Features and Linear Classification. ICCV 2003: 281-288 - 2002
- [c18]Eran Borenstein, Shimon Ullman:
Class-Specific, Top-Down Segmentation. ECCV (2) 2002: 109-124 - 2001
- [c17]Shimon Ullman, Erez Sali, Michel Vidal-Naquet:
A Fragment-Based Approach to Object Representation and Classification. IWVF 2001: 85-102 - 2000
- [c16]Shimon Ullman, Erez Sali:
Object Classification Using a Fragment-Based Representation. Biologically Motivated Computer Vision 2000: 73-87
1990 – 1999
- 1999
- [j7]Shimon Ullman, Sergei Soloviev:
Computation of pattern invariance in brain-like structures. Neural Networks 12(7-8): 1021-1036 (1999) - [c15]Erez Sali, Shimon Ullman:
Combining Class-Specific Fragments for Object Classification. BMVC 1999: 1-11 - 1998
- [j6]Yael Moses, Shimon Ullman:
Generalization to Novel Views: Universal, Class-based, and Model-based Processing. Int. J. Comput. Vis. 29(3): 233-253 (1998) - [c14]Chen Brestel, Shimon Ullman:
Multi-view modeling & synthesis. EUSIPCO 1998: 1-4 - [c13]Erez Sali, Shimon Ullman:
Recognizing Novel 3-D Objects Under New Illumination and Viewing Position Using a Small Number of Examples. ICCV 1998: 153-164 - 1997
- [j5]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): 721-732 (1997) - [c12]Shimon Ullman, Assaf Zeira:
Object Recognition Using Stochastic Optimization. EMMCVPR 1997: 329-344 - 1996
- [c11]Michael Kositsky, Shimon Ullman:
Learning class regions by the union of ellipsoids. ICPR 1996: 750-757 - [c10]Shimon Ullman:
Visual Object Recognition. ISTCS 1996: 90 - 1994
- [c9]Yael Moses, Yael Adini, Shimon Ullman:
Face Recognition: the Problem of Compensating for Changes in Illumination Direction. ECCV (1) 1994: 286-296 - 1992
- [c8]Ivan A. Bachelder, Shimon Ullman:
Contour matching using local affine transformations. CVPR 1992: 798-801 - [c7]Yael Moses, Shimon Ullman:
Limitations of Non Model-Based Recognition Schemes. ECCV 1992: 820-828 - 1991
- [j4]Shimon Ullman, Ronen Basri:
Recognition by Linear Combinations of Models. IEEE Trans. Pattern Anal. Mach. Intell. 13(10): 992-1006 (1991) - [c6]Yerucham Shapira, Shimon Ullman:
A Pictorial Approach to Object Classification. IJCAI 1991: 1257-1263 - [c5]Ronen Basri, Shimon Ullman:
Linear Operator for Object Recognition. NIPS 1991: 452-459 - 1990
- [j3]Daniel P. Huttenlocher, Shimon Ullman:
Recognizing solid objects by alignment with an image. Int. J. Comput. Vis. 5(2): 195-212 (1990) - [j2]Shimon Edelman, Tamar Flash, Shimon Ullman:
Reading cursive handwriting by alignment of letter prototypes. Int. J. Comput. Vis. 5(3): 303-331 (1990) - [c4]Amnon Shashua, Shimon Ullman:
Grouping Contours by Iterated Pairing Networks. NIPS 1990: 335-341
1980 – 1989
- 1988
- [c3]Doron Shoham, Shimon Ullman:
Aligning A Model To An Image Using Minimal Information. ICCV 1988: 259-263 - [c2]Amnon Shashua, Shimon Ullman:
Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network. ICCV 1988: 321-327 - [c1]Ronen Basri, Shimon Ullman:
The Alignment Of Objects With Smooth Surfaces. ICCV 1988: 482-488 - 1981
- [j1]Shimon Ullman:
Analysis of Visual Motion by Biological and Computer Systems. Computer 14(8): 57-69 (1981)
1970 – 1979
- 1977
- [b1]Shimon Ullman:
The interpretation of visual motion. MIT, USA, 1977
Coauthor Index
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