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Preprints (Only preprints that are not yet published in peer reviewed venue)
Journal Articles
Book Chapters
  • O. Ben-Shahar and R. Segev, Feature integration theory , In the Encyclopedia of Animal Cognition and Behavior, Vonk J., Shackelford T. (eds), Springer, Cham. https://doi.org/10.1007/978-3-319-47829-6_1588-1, 2021.
  • E. Barnea and O. Ben-Shahar Contextual Object Detection with a Few Relevant Neighbor, Lecture Notes in Computer Science 11362, pp. 480-495, 2019
  • I. Kadar and O. Ben-Shahar SceneNet: A Perceptual Ontology for Scene Understanding, Lecture Notes in Computer Science 8926, pp. 385-400, 2014.
  • R. Mairon and O. Ben-Shahar A closer look at context: From coxels to the contextual emergence of object saliency, Lecture Notes in Computer Science 8693, pp. 708-724, 2014.
  • E. Barnea and O. Ben-Shahar Depth Based Object Detection from Partial Pose Estimation of Symmetric Objects, Lecture Notes in Computer Science 8693, pp. 377-390, 2014.
  • G. Ben-Yosef and O. Ben-Shahar, A biologically-inspired theory for non-axiomatic parametric curve completion, Lecture Notes in Computer Science 6493, pp. 346-359, 2011.
  • O. Ben-Shahar and S.W. Zucker, Good Continuation in Layers: Shading flows, Color flows, Surfaces, and Shadows, in Information in Perception, L. Albertazzi (Ed.), MIT Press, 2010.
  • O. Ben-Shahar, G. Li, and S.W. Zucker, Connection Geometry, Color, and Stereo , in Lecture Notes in Computer Science 4673, pp. 13-198, 2007.
  • O. Ben-Shahar and S.W. Zucker, Boundary Gestalt limits flow gestalt: The geometry of good continuation, in Visual thought: The depictive space of the mind, L. Albertazzi (Ed.), John Benjamin Publishing Company, 2006.
  • O. Ben-Shahar and S.W. Zucker, Hue geometry and horizontal connections, in Vision and Brain, S. Grossberg, L. Finkel, and D. Field (Eds.), Elsevier, 2004.
  • O. Ben-Shahar, P. Huggins, and S.W. Zucker, On Computing Visual Flows with Boundaries: The Case of Shading and Edges, Lecture Notes in Computer Science 2525, pp. 189-198, 2002.
Conference Articles (rigorously peer reviewed)
Abstracts
 
 
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