| 2025 | CogSci | From Infants to AI: Incorporating Infant-like Learning in Models Boosts Efficiency and Generalization in Learning Social Prediction Tasks. | Shify Treger, Shimon Ullman |
| 2025 | CVPR | Seeing More with Less: Human-like Representations in Vision Models. | Andrey Gizdov, Shimon Ullman, Daniel Harari |
| 2025 | ICCV | Teaching VLMs to Localize Specific Objects from In-Context Examples. | Sivan Doveh, Nimrod Shabtay, Eli Schwartz, Hilde Kuehne, Raja Giryes, Rogrio Feris, Leonid Karlinsky, James R. Glass, Assaf Arbelle, Shimon Ullman, Muhammad Jehanzeb Mirza |
| 2024 | ECCV | Towards Multimodal In-context Learning for Vision and Language Models. | Sivan Doveh, Shaked Perek, Muhammad Jehanzeb Mirza, Wei Lin, Amit Alfassy, Assaf Arbelle, Shimon Ullman, Leonid Karlinsky |
| 2024 | ECCV | Variable Resolution Improves Visual Question Answering Under a Limited Pixel Budget. | Andrey Gizdov, Shimon Ullman, Daniel Harari |
| 2023 | CVPR | Teaching Structured Vision & Language Concepts to Vision & Language Models. | Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogrio Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky |
| 2021 | ICCV | 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, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogrio Feris, Leonid Karlinsky |
| 2021 | ICIP | Multi-Task Learning By A Top-Down Control Network. | Hila Levi, Shimon Ullman |
| 2020 | AAAI | Cakewalk Sampling. | Uri Patish, Shimon Ullman |
| 2020 | CVPR | VQA With No Questions-Answers Training. | Ben Zion Vatashsky, Shimon Ullman |
| 2019 | BMVC | Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects. | Hila Levi, Shimon Ullman |
| 2018 | ICPR | Action Classification via Concepts and Attributes. | Amir Rosenfeld, Shimon Ullman |
| 2016 | ACCV | Visual Concept Recognition and Localization via Iterative Introspection. | Amir Rosenfeld, Shimon Ullman |
| 2016 | ECCV | Human Pose Estimation Using Deep Consensus Voting. | Ita Lifshitz, Ethan Fetaya, Shimon Ullman |
| 2015 | AISTATS | Graph Approximation and Clustering on a Budget. | Ethan Fetaya, Ohad Shamir, Shimon Ullman |
| 2015 | CogSci | A model for full local image interpretation. | Guy Ben-Yosef, Liav Assif, Daniel Harari, Shimon Ullman |
| 2015 | EMNLP | Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. | Yevgeni Berzak, Andrei Barbu, Daniel Harari, Boris Katz, Shimon Ullman |
| 2015 | ICML | Learning Local Invariant Mahalanobis Distances. | Ethan Fetaya, Shimon Ullman |
| 2013 | CogSci | Learning to perceive coherent objects. | Nimrod Dorfman, Daniel Harari, Shimon Ullman |
| 2013 | CogSci | Minimal Nativism: How does cognitive development get off the ground? | Tomer D. Ullman, Joshua B. Tenenbaum, Noah D. Goodman, Shimon Ullman, Elizabeth S. Spelke |
| 2012 | CogSci | Modeling the Perception of Intentions. | Barbara Tversky, Shimon Ullman, Dare A. Baldwin, Frank E. Pollick, Joshua B. Tenenbaum, Tao Gao, Peter C. Pantelis, David Pautler |
| 2012 | ECCV | Using Linking Features in Learning Non-parametric Part Models. | Leonid Karlinsky, Shimon Ullman |
| 2010 | CVPR | The chains model for detecting parts by their context. | Leonid Karlinsky, Michael Dinerstein, Daniel Harari, Shimon Ullman |
| 2009 | CVPR | Unsupervised feature optimization (UFO): Simultaneous selection of multiple features with their detection parameters. | Leonid Karlinsky, Michael Dinerstein, Shimon Ullman |
| 2008 | ECCV | Unsupervised Classification and Part Localization by Consistency Amplification. | Leonid Karlinsky, Michael Dinerstein, Dan Levi, Shimon Ullman |
| 2007 | CVPR | Semantic Hierarchies for Recognizing Objects and Parts. | Boris Epshtein, Shimon Ullman |
| 2007 | ICML | Uncovering shared structures in multiclass classification. | Yonatan Amit, Michael Fink, Nathan Srebro, Shimon Ullman |
| 2006 | CVPR | Satellite Features for the Classification of Visually Similar Classes. | Boris Epshtein, Shimon Ullman |
| 2006 | ICML | Online multiclass learning by interclass hypothesis sharing. | Michael Fink, Shai Shalev-Shwartz, Yoram Singer, Shimon Ullman |
| 2005 | BMVC | Single-example Learning of Novel Classes using Representation by Similarity. | Evgeniy Bart, Shimon Ullman |
| 2005 | CVPR | Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement. | Evgeniy Bart, Shimon Ullman |
| 2005 | CVPR | Identifying Semantically Equivalent Object Fragments. | Boris Epshtein, Shimon Ullman |
| 2005 | ICCV | Feature Hierarchies for Object Classification. | Boris Epshtein, Shimon Ullman |
| 2004 | BMVC | Image normalization by mutual information. | Evgeniy Bart, Shimon Ullman |
| 2004 | CVPR | Class-Based Matching of Object Parts. | Evgeniy Bart, Shimon Ullman |
| 2004 | CVPR | Combining Top-Down and Bottom-Up Segmentation. | Eran Borenstein, Eitan Sharon, Shimon Ullman |
| 2004 | ECCV | View-Invariant Recognition Using Corresponding Object Fragments. | Evgeniy Bart, Evgeny Byvatov, Shimon Ullman |
| 2004 | ECCV | Learning to Segment. | Eran Borenstein, Shimon Ullman |
| 2003 | ICCV | Object Recognition with Informative Features and Linear Classification. | Michel Vidal-Naquet, Shimon Ullman |
| 2002 | ECCV | Class-Specific, Top-Down Segmentation. | Eran Borenstein, Shimon Ullman |
| 1999 | BMVC | Combining Class-Specific Fragments for Object Classification. | Erez Sali, Shimon Ullman |
| 1998 | ICCV | Recognizing Novel 3-D Objects Under New Illumination and Viewing Position Using a Small Number of Examples. | Erez Sali, Shimon Ullman |
| 1996 | ICPR | Learning class regions by the union of ellipsoids. | Michael Kositsky, Shimon Ullman |
| 1994 | ECCV | Face Recognition: the Problem of Compensating for Changes in Illumination Direction. | Yael Moses, Yael Adini, Shimon Ullman |
| 1992 | CVPR | Contour matching using local affine transformations. | Ivan A. Bachelder, Shimon Ullman |
| 1992 | ECCV | Limitations of Non Model-Based Recognition Schemes. | Yael Moses, Shimon Ullman |
| 1991 | IJCAI | A Pictorial Approach to Object Classification. | Yerucham Shapira, Shimon Ullman |
| 1988 | ICCV | The Alignment Of Objects With Smooth Surfaces. | Ronen Basri, Shimon Ullman |
| 1988 | ICCV | Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network. | Amnon Shashua, Shimon Ullman |
| 1988 | ICCV | Aligning A Model To An Image Using Minimal Information. | Doron Shoham, Shimon Ullman |