Journal Papers

  • E. Zohary, D. Harari, S. Ullman, I. Ben-Zion, R. Doron, S. Attias, Y. Porat, A.Y. Sklar, A. Mckyton (2022). Gaze-following requires early visual experience. Proceedings of the National Academy of Sciences - PNAS, 119(20): 1-12. (Online, PDF)
  • Y. Holzinger, S. Ullman, D. Harari, M. Behrmann , G. Avidan (2019). Minimal Recognizable Configurations Elicit Category-selective Responses in Higher Order Visual Cortex . J Cogn Neurosci. 31(9): 1354-1367. (Online, PDF)
  • S. Ullman, N. Dorfman, D. Harari (2019).  A model for discovering 'containment' relations .  Cognition, 183: 67-81.(Online, Project webpage)
  • S. Ullman, L. Assif, E. Fetaya, D. Harari (2016).  Atoms of recognition in human and computer vision.  Proceedings of the National Academy of Sciences - PNAS, 113(10): 2744-2749. (Online, PDF, Project webpage)
  • S. Ullman, D. Harari, N. Dorfman (2012).  From simple innate biases to complex visual concepts.  Proceedings of the National Academy of Sciences - PNAS 109(44): 18215-18220.  (Online, PDF, Project webpage)
  • A. Harel, S. Ullman, D. Harari, S. Bentin (2011).  Basic-level categorization of intermediate complexity fragments reveals top-down effects of expertise in visual perception.  Journal of Vision 11(8):18, 1–13.  (Online, PDF)
  • A. Caspi, R. Amiaz, N. Davidson, E. Czerniak, E. Gur, N. Kiryati, D. Harari, M. Furst, D. Stein (2016).  Computerized assessment of body image in anorexia nervosa and bulimia nervosa: comparison with standardized body image assessment tool.  Archives of Women's Mental Health, 1–9.   (Online, PDF)
  • D. Harari, M. Furst, N. Kiryati, A. Caspi, M. Davidson (2001).  A computer-based method for the assessment of body-image distortions in anorexia-nervosa patients.  IEEE Transactions on Information Technology in Biomedicine 5(4): 311-319.  (Online, PDF)

Conference Papers and Abstracts

  • D. Harari, A. Mars, H. Benoni, S. Ullman (2022). The dynamics of scene understanding. The Annual Meeting of the Vision Sciences Society - VSS.
  • D. Harari, H. Benoni, S. Ullman (2020). Object recognition at the level of minimal images develops for up to seconds of presentation time. Journal of Vision (20):266. (Abstract)
  • T. S. Altavini, G. Astorga, D. Harari, S. Ullman, G. N. Reeke, W. Freiwald, C. D. Gilbert (2018). Cortical representation of objects and their components. The Annual Meeting of the Society for Neuroscience (SfN). (Abstract)
  • H. Gorodissky, D. Harari, S. Ullman (2018). Large field and high resolution: detecting needle in a haystack. Journal of Vision (18):517. (Abstract, Poster)
  • Y. Berzak, A. Barbu, D. Harari, B. Katz, S. Ullman (2015). Do you see what I mean? Visual resolution of linguistic ambiguities. Proceedings of the Conference on Empirical Methods on Natural Language Processing (EMNLP). (PDF, Corpus webpage)
  • G. Ben-Yosef, L. Assif, D. Harari, S. Ullman (2015).  A model for full local image interpretation.  The Annual Conference of the Cognitive Science Society (CogSci).  (Abstract, PDF)
  • G. Ben-Yosef, L. Assif, D. Harari, E. Fetaya, S. Ullman (2014). Object interpretation: extending and validating object recognition. Journal of Vision (14):1289. (Abstract, Poster)
  • T. Gao, D. Harari, J. Tenenbaum, N. Kanwisher (2014). What are you looking at?: The acuity of joint attention. Journal of Vision (14):1273. (Abstract, Poster)
  • N. Dorfman, D. Harari, S. Ullman (2013). Learning to Perceive Coherent Objects. Proceedings of The Annual Meeting of the Cognitive Science Society (CogSci), 394-399. (Abstract, PDF, Marr prize, Project webpage)
  • D. Harari, S. Ullman (2013). Extending Recognition in a Changing Environment. Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP), 1:632-640. (Abstract, PDF, Project webpage)
  • L. Karlinsky, M. Dinerstein, D. Harari, S. Ullman (2010). The chains model for detecting parts by their context. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) :25-32. (Abstract, PDF, Slides, Matlab code)
  • D. Harari, M. Furst, N. Kiryati, A. Caspi, M. Davidson (2000). Computer-based assessment of body image distortion in anorexia nervosa patients. Lecture Notes in Computer Science of the Third International Conference in Medical Image Computing and Computer-Assisted Intervention (MICCAI), 1935: 766-775. (Abstract, PDF)

Patent Grants

  • S. Ullman, D. Harari, L. Assif, I. Koifman (2019). Multi-layer viewing system and method. Patent by Weizmann Institute of Science (Yeda Research and Development Ltd.). WO2018IL51143 (US201762577332P). (Online@Espacenet, Online@Patentscope, PDF)
  • N. Kiryati, T. Riklin-Raviv, Y. Ivanchenko, S. Rochel, I. Dvir, D. Harari (2008). Apparatus and methods for the detection of abnormal motion in a video stream. Patent by Tel-Aviv University (Ramot) and Nice Systems Ltd. EP1631073 (US20060045185). (Online, PDF)

Memos & Preprints

  • A. Cooper, X. Boix, D. Harari, S. Madan, H. Pfister, T. Sasaki, P. Sinha (2021). To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing? arXiv:2109.13445 [cs.CV]. (Abstract, PDF)
  • H. Benoni, D. Harari, S. Ullman (2020). What takes the brain so long: Object recognition at the level of minimal images develops for up to seconds of presentation time. arXiv:2006.05249 [q-bio.NC]. (Abstract, PDF)
  • H. Gorodissky, D. Harari, S. Ullman (2018). Large Field and High Resolution: Detecting Needle in Haystack.
    arXiv:1804.03576 [cs.CV]. (Abstract, PDF)
  • D. Harari, J. Tenenbaum, S. Ullman (2018). Discovery and usage of joint attention in images. arXiv:1804.04604 [cs.CV].
    (Abstract, PDF)
  • G.Tao, D. Harari, N. Kanwisher, J. Tenenbaum, S. Ullman (2016). Measuring and modeling the perception of natural and unconstrained gaze in humans and machines. CBMM Memo No. 059, arXiv:1611.09819 [q-bio.NC]. (Abstract, PDF)
  • G.Tao, D. Harari, J. Tenenbaum, S. Ullman (2014). When Computer Vision Gazes at Cognition. CBMM Memo No. 025, arXiv:1412.2672 [cs.AI]. (Abstract, PDF)
  • D. Harari (2012). Using Motion and Internal Supervision in Object Recognition. PhD dissertation, Weizmann Institute of Science. (PDF)