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Filters: Author is Shimon Ullman [Clear All Filters]
Image interpretation above and below the object level. Proceedings of the Royal Society: Interface Focus (In Press).
A model for discovering ‘containment’ relations. Cognition 183, 67 - 81 (2019).
Using neuroscience to develop artificial intelligence. Science 363, 692 - 693 (2019).
Discovery and usage of joint attention in images. arXiv.org (2018). at <https://arxiv.org/abs/1804.04604>
Full interpretation of minimal images. Cognition 171, 65-84 (2018).
Full interpretation of minimal images. Cognition 171, 65 - 84 (2018).
Image interpretation above and below the object level. Interface Focus 8, 20180020 (2018).
Searching for visual features that explain response variance of face neurons in inferior temporal cortex. PLOS ONE 13, e0201192 (2018).
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>
Atoms of recognition in human and computer vision. PNAS 113, 2744–2749 (2016).
Human Pose Estimation Using Deep Consensus Voting. ECCV 2016 (2016).
Measuring and modeling the perception of natural and unconstrained gaze in humans and machines. (2016).
Recognizing and Interpreting Social Interactions in Local Image Regions. The 24th Annual Workshop on Object Perception, Attention, and Memory (OPAM), Boston, MA (2016).
Visual Concept Recognition and Localization via Iterative Introspection. . Asian Conference on Computer Vision (2016).
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal. (2015).
Graph Approximation and Clustering on a Budget. Artificial Intelligence and Statistics 38, (2015).
A model for full local image interpretation. Cognitive Science Society (2015).
Visual categorization of social interactions. Visual Cognition 22, (2015).