Publications

CBMM Memos were established in 2014 as a mechanism for our center to share research results with the wider scientific community. Click here to read more about the memos and to see a full list of the memos.

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Found 27 results

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Filters: Author is Shimon Ullman [Clear All Filters]

2014

Gao, T., Harari, D., Tenenbaum, J. B. & Ullman, S. When Computer Vision Gazes at Cognition. (2014).

CBMM-Memo-025.pdf (3.78 MB)

2015

Berzak, Y., Barbu, A., Harari, D., Katz, B. & Ullman, S. Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal. (2015).

Fetaya, E., Shamir, O. & Ullman, S. Graph Approximation and Clustering on a Budget. Artificial Intelligence and Statistics 38, (2015).

fetaya shamir Ullman 2015.pdf (664.26 KB)

Ben-Yosef, G., Assif, L., Harari, D. & Ullman, S. A model for full local image interpretation. Cognitive Science Society (2015).

Full object interpretation CogSci 2015 Print version.pdf (707.34 KB)

de la Rosa, S. et al. Visual categorization of social interactions. Visual Cognition 22, (2015).

2016

Ullman, S., Assif, L., Fetaya, E. & Harari, D. Atoms of recognition in human and computer vision. PNAS 113, 2744–2749 (2016).

mirc_author_manuscript_with_figures_and_SI-2.pdf (1.65 MB)

Berzak, Y., Barbu, A., Harari, D., Katz, B. & Ullman, S. Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. (2016).

memo-51.pdf (2.74 MB)

Lifshitz, I., Fetaya, E. & Ullman, S. Human Pose Estimation Using Deep Consensus Voting. ECCV 2016 (2016).

1603.08212.pdf (6.05 MB)

Berzak, Y., Barbu, A., Harari, D., Katz, B. & Ullman, S. Language and Vision Ambiguities (LAVA) Corpus. (2016). at <http://web.mit.edu/lavacorpus/>

D15-1172.pdf (2.42 MB)

Harari, D., Gao, T., Kanwisher, N., Tenenbaum, J. B. & Ullman, S. Measuring and modeling the perception of natural and unconstrained gaze in humans and machines. (2016).

CBMM-Memo-059.pdf (1.71 MB)

Ben-Yosef, G., Yachin, A. & Ullman, S. Recognizing and Interpreting Social Interactions in Local Image Regions. The 24th Annual Workshop on Object Perception, Attention, and Memory (OPAM), Boston, MA (2016).

Rosenfeld, A. & Ullman, S. Visual Concept Recognition and Localization via Iterative Introspection. . Asian Conference on Computer Vision (2016).

Focusing on parts of interest (910.14 KB)

2017

Ben-Yosef, G., Assif, L. & Ullman, S. Full interpretation of minimal images. (2017).

CBMM Memo 061 v.1 (4.64 MB)

CBMM Memo 061 v.2 (5.41 MB)

Ben-Yosef, G., Yachin, A. & Ullman, S. A model for interpreting social interactions in local image regions. AAAI Spring Symposium Series, Science of Intelligence (2017). at <http://www.aaai.org/ocs/index.php/SSS/SSS17/paper/view/15354>

2017-Ben-Yosef_Yachin_Ullman-A_model_for_interpreting_social_interactions_in_local_image_regions.pdf (1.53 MB)

2018

Harari, D., Tenenbaum, J. B. & Ullman, S. Discovery and usage of joint attention in images. arXiv.org (2018). at <https://arxiv.org/abs/1804.04604>

1804.04604v1.pdf (488.85 KB)

Ben-Yosef, G., Assif, L. & Ullman, S. Full interpretation of minimal images. Cognition 171, 65 - 84 (2018).

Ben-Yosef, G., Assif, L. & Ullman, S. Full interpretation of minimal images. Cognition 171, 65-84 (2018).

Full interpretation of minimal images.pdf (4.55 MB)

Ben-Yosef, G. & Ullman, S. Image interpretation above and below the object level. Interface Focus 8, 20180020 (2018).

Ben-Yosef, G. & Ullman, S. Image interpretation above and below the object level. Proceedings of the Royal Society: Interface Focus (2018).

2018-BenYosef_Ullman-Image_interpretation_above_and_below the object_level.pdf (3.26 MB)

Ben-Yosef, G. & Ullman, S. Image interpretation above and below the object level. (2018).

CBMM-Memo-089.pdf (2.06 MB)

Owaki, T. et al. Searching for visual features that explain response variance of face neurons in inferior temporal cortex. PLOS ONE 13, e0201192 (2018).

Ben-Yosef, G., Kreiman, G. & Ullman, S. Spatiotemporal interpretation features in the recognition of dynamic images. (2018).

CBMM-Memo-094.pdf (1.21 MB)

CBMM-Memo-094-dynamic-figures.zip (1.8 MB)

fig1.ppsx (147.67 KB)

fig2.ppsx (419.72 KB)

fig4.ppsx (673.41 KB)

figS1.ppsx (587.88 KB)

figS2.ppsx (281.56 KB)

2019

Ullman, S., Dorfman, N. & Harari, D. A model for discovering ‘containment’ relations. Cognition 183, 67 - 81 (2019).

Ullman, S. Using neuroscience to develop artificial intelligence. Science 363, 692 - 693 (2019).

2020

Ben-Yosef, G., Kreiman, G. & Ullman, S. Minimal videos: Trade-off between spatial and temporal information in human and machine vision. Cognition (2020). doi:10.1016/j.cognition.2020.104263

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