Journal Articles


  1. S. Ullman. On the visual detection of light sources. Biological Cybernetics, 21, 205-212, 1975.
  2. S. Ullman. Filling in the gaps: The shape of subjective contours and a model for their generation. Biological Cybernetics, 25, 1-6, 1976.
  3. S. Ullman. Structure from motion (short note). Journal of the Optical Society of America, 67 (10), 1400, 1977.
  4. S. Ullman. Ternus' configuration in apparent motion. Journal of the Optical Society of America, 67 (10), 1400-1401, 1977.
  5. S. Ullman. Transformability and object identity. Perception and Psychophysics, 22 (4), 414-415, 1977.
  6. S. Ullman. Mental representations and mental experiences - a comment. The Behavioral and Brain Sciences, 1, 605-606, 1978.
  7. S. Ullman. Artificial intelligence and cognitive theories - the missing link (a commentary). The Behavioral and Brain Sciences, 1, 117-119, 1978.
  8. S. Ullman. Two dimensionality of the correspondence process in apparent motion. Perception, 7, 683-693, 1979.
  9. S. Ullman. The interpretation of structure from motion. Proc. Royal Soc. London B, 203, 405-426, 1979.
  10. D.C. Marr, T. Poggio and S. Ullman. Bandpass channels, zero-crossings, and early visual information processing. J. Optical Society of America, 69 (6), 914-916, 1979.
  11. S. Ullman. Mental representations and mental experiences - a commentary. The Behavioral and Brain Sciences, 1 (4), 605-606, 1979.
  12. S. Ullman. Relaxation and constrained optimization by local processes. Computer Graphics and Image Processing, 10, 115-125, 1979.
  13. S. Ullman and K.A. Stevens. Some computational aspects of vision. Sensory World, 36, 10-17, 1979.
  14. S. Ullman. Against direct perception. The Behavioral and Brain Sciences, 3 (3), 373-415, 1980.
  15. S. Ullman. The effect of similarity between line segments on the correspondence strength in apparent motion. Perception, 9, 617-626, 1980.
  16. D. Marr and S. Ullman. Directional selectivity and its use in early visual processing. Proc. Royal Soc. London B, 211, 151-180, 1981.
  17. S. Ullman. Interfacing the one-dimensional scanning of an image with the application of two-dimensional operators. Computer Graphics and Image Processing, 16, 150-157, 1981.
  18. S. Ullman. Analysis of visual motion by biological and computer systems. Computer, 14 (8), 57-66, 1981.
  19. J. Richter and S. Ullman. A model for the spatio-temporal organization of X- and Y-type receptive fields in the primate retina. Biological Cybernetics, 43, 127-145, 1982.
  20. S. Ullman. Direct perception after Gibson. Contemporary Psychology, 27 (8), 610-611, 1982.
  21. S. Ullman. Correspondence strength in apparent movement: a reply to Petersik et al. Perception, 11, 744-748, 1982.
  22. S. Ullman and G. Schechtman. Adaptation and gain normalization. Proc. Royal Soc. London B, 216, 299-313, 1982.
  23. S. Ullman. The measurement of visual motion: Computational considerations and some neurophysiological implications. Trends in Neurosciences, 59, 177-179, 1983.
  24. S. Ullman. Maximizing rigidity: the incremental recovery of 3-D structure from rigid and non-rigid motion. Perception, 13, 255-274, 1984. Also in: M.A. Fischler and O. Firschein (eds.), Readings in Computer Vision. Los Altos, CA: Morgan Kaufmann Publishers.
  25. S. Ullman. Visual routines. Cognition, 18, 97-159, 1984. Also in: A. Collins and E.E. Smith (eds.), Readings in Cognitive Science. San Mateo, CA: Morgan Kaufmann Publishers 1991; and in: M.A. Fischler and O. Firschein (eds.), Readings in Computer Vision. Los Altos, CA: Morgan Kaufmann Publishers, 1987.
  26. S. Ullman. Rigidity and misperceived motion. Perception, 13, 219-220, 1984.
  27. A. Waxman and S. Ullman. Surface structure and 3-D motion from image flow: A kinematic analysis. Intl. J. of Robotics Research, 4 (3), 72-94, 1985.
  28. C. Koch and S. Ullman. Shifts in selective visual attention: Towards the underlying neural circuitry. Human Neurobiology, 4, 219-227, 1985.
  29. S. Ullman. Artificial intelligence and the brain: Computational studies of the visual system. Annual Rev. of Neuroscience, 9, 1-26, 1986.
  30. P. Jolicoeur, S. Ullman and M.E. Mackay. Boundary tracing: An elementary visual process. Memory and Cognition, 4, 219-227, 1985.
  31. J. Richter and S. Ullman. Non-linearities in cortical simple cells and the possible detection of zero crossings. Biological Cybernetics, 53, 195-202, 1986.
  32. S. Ullman. The optical flow of planar surfaces. Spatial Vision, 1, 263-276, 1986.
  33. J. Richter and S. Ullman. Are non-directional simple cells constructed from directional subunits? Biological Cybernetics, 54, 313-317, 1986.
  34. S. Ullman. Artificial intelligence and the neurosciences. Trends in Neurosciences, 9 (10), 530-533, 1986.
  35. S. Ullman. Competence, performance, and the rigidity assumption: A reply. Perception, 15 (5), 644-646, 1987.
  36. M. Dick, S. Ullman and D. Sagi. Parallel and serial processes in motion detection. Science, 237, 400, 1987.
  37. S. Ullman. Vision as computation: a review of "From pixels to predicates.'' Contemporary Psychology, 33, 48, 1988.
  38. S. Ullman. Aligning pictorial descriptions: an approach to object recognition. Cognition, 32 (3), 193-254, 1989. Reproduced in: P.H. Winston and S.A. Shellard (eds.), Artificial Intelligence at MIT - Expanding Frontiers, Cambridge: The M.I.T. Press, 1990.
  39. D.P. Huttenlocher and S. Ullman. Recognizing solid objects by alignment with an image.  International Journal of Computer Vision, 5 (2), 195-212, 1990.
  40. Y. Neumann, G. Schechtman and S. Ullman. Self-calibrated collinearity detector.  Biological Cybernetics, 63, 463-475, 1990.
  41. S. Edelman, T. Flash and S. Ullman. Reading cursive handwriting by alignment of letter prototypes. International Journal of Computer Vision, 5(3), 303-331, 1990.
  42. P. Jolicoeur, S. Ullman and S. Mackay. Visual curve tracing properties. J. Experimental Psychology - Human Perception and Performance. 17 (4), 997-1022, 1991.
  43. S. Ullman and R. Basri. Recognition by linear combination of models. IEEE Pattern Matching and Machine Intell. 13(10) 992-1006, 1991.
  44. D. Sagi, M. Dick and S. Ullman. Short and long range processes in structure-from-motion. Vision Research, 31 2025-2028, 1991.
  45. S. Ullman. Low-level aspects of segmentation and recognition. Proc. Roy. Soc. B., 337 371-379, 1992.
  46. R. Basri and S. Ullman. The alignment of objects with smooth surfaces. CVGIP: Image Understanding, 57(3) 331-345, 1993.
  47. S. Ullman. Sequence-seeking and counter streams: A computational model for bi-directional information flow in the visual cortex. Cerebral Cortex, 5(1) 1-11, 1995.
  48. M. Bar and S. Ullman. Spatial context in recognition. Perception, 25 343-352, 1996.
  49. Y. Moses, S. Ullman and S. Edelman. Generalization to novel images in upright and inverted faces. Perception, 25 443-461, 1996.
  50. Y. Adini, Y. Moses and S. Ullman. Face recognition: the problem of compensating for changes in illumination direction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19, 721-732, 1997.
  51. Ullman, S. Three-dimensional object recognition based on the combination of views. Cognition, 67(1) 21-44, 1998.
  52. Y. Moses and S. Ullman. Generalization to novel views: Universal, class-based and model-based processing. International Journal of Computer Vision, 29(3) 233-253, 1998.
  53. Ullman, S and Soloviev, S. Computation of pattern invariance in brain-like structures.  Neural Networks, 12 1021-1036, 1999.
  54. S. Gilaie-Dotan, S. Ullman, T. Kushnir and R. Malach, Shape-selective stereo processing in human object-related visual areas. Human Brain Mapping, 15 67-79, 2001.
  55. Ullman, S. Vidal-Naquet, M and Sali, E. Visual features of intermediate complexity and their use in classification. Nature Neuroscience, 5(7) 1-6, 2002.
  56. Zur, D. and Ullman, S. Filling-in retinal scotomas. Vision Research, 43, 971-982, 2003.
  57. Ullman, S. and Bart, E. Recognition invariance obtained by extended and invariant features. Neural Networks, 17: 833-848, 2004.
  58. Shmuel, A., Malach, R., Ullman, S. Grinvald, A. Retinotopic axis specificity and selective clustering of feedback projections from V2 to V1 in the owl monkey. The Journal of Neuroscience, 25(8):2117-2131, 2005
  59. 59. Calford, MB, Chino, YM, Das, A, Eysel, UT,  Gilbert, CD, Heinen, SJ,  Kaas, JH,  Ullman S. Rewiring the adult brain.  Nature 438, E3, Brief Communication  2005. 
  60. Ullman, S. Object recognition and segmentation by a fragment-based hierarchy. Trends  in Cognitive Sciences (11)2, 58-64, 2006
  61. Harel, A., Ullman, S. Epshtein, B. and Bentin, S. Mutual information of image fragments predicts categorization in humans: Electrophysiological and behavioral evidence. Vision Research, 47, 2010–2020, 2007.
  62. Fink, M. and Ullman, S. From Aardvark to Zorro: A Benchmark for mammal image classification, Int. J. Computer Vision, 77(1-3), 143-156, 2008.
  63. Lerner, Y. Ullman, S., Epshtein, B. and Malach, R, Class information predicts activation by object fragments in, human object areas. Journal of Cognitive Neuroscience, 20(17) 1-18, 2008.  
  64. Goldberg, I., Ullman, S. and Malach, R. Neuronal correlates of "Free Will" are associated with regional specialization in the human Intrinsic/Default network. Consciousness and Cognition, 17, 587-601, 2008.
  65. Bart, E. and Ullman, S. Class-based feature matching across unrestricted transformations. IEEE PAMI, 30(9), 1618-1631, 2008.
  66. McManus, J., Ullman, S. and D. Gilbert, C.D. A Computational model of perceptual fill-in following retinal degeneration. Journal of Neurophysiology, 99, 2086-2100, 2008.
  67. Axelrod-Ballin, A. 7 Ullman, S. Compact and distinctive features. Image and Vision Computing (26)9,  1269-1276 2008.
  68. Borenstein, E. and Ullman, S. Combined bottom-up and top-down segmentation. IEEE PAMI 30(12), 1-17, 2008. 
  69. Epshtein, B. Lifshitz, I. Ullman, S. Image interpretation by a single bottom-up top-down cycle. Proc. Nat. Acad. Sci., 105(38) 14298-14303, 2008.
  70. Litvak. S. & Ullman, S. Cortical circuitry implementing graphical models.  Neural Computation. 21, 3010–3056, 2009.  
  71. Ecker, A. & Ullman, S. A Hierarchical Non-Parametric Method for Capturing Non-Rigid Deformations. Image and Vision Computing, 27(1-2), 87-98, 2010.   
  72. Levi, D., Ullman, S. Learning to classify by ongoing feature selection. Image and Vision Computing, 28(4), 715-723, 2010.
  73. Harel, A, Ullman S, Harari D, Bentin S. Basic-level categorization of intermediate complexity fragments reveals top-down effects of expertise in visual perception. Journal of Vision 11(8), 1–13, 2011.
  74. Ullman, S. Harari, D. Dorfman, N. 2012. From simple innate biases to complex visual concepts. PNAS, 109(44), 18215–18220. With commentary: Yuille, A.L &  Bülthoff, H.H Action as an innate bias for visual learning. PNAS, 109(44), 17736–17737, 2012.
  75. Poggio, T & Ullman, S. Vision: are models of object recognition catching up with the brain?  Ann. N.Y. Acad. Sci.  nyas.12148 1-11, 2013.
  76. Markov NT, Vezoli J, Chameau P, Falchier A, Quilodran R, Huissoud C, Lamy C, Misery P, Giroud P, Ullman S, Barone P, Dehay C, Knoblauch K, Kennedy H.  The anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex.   J Comp Neurol. 522(1) 225-259, 2014.  
  77. De la Rosa, S, Choudhery, RN, Curio, C, Ullman, S. Assif, L, Bülthoff, HH. Visual categorization of social interactions. Visual Cognition, 22 (39) 1233-1271, 2015. DOI: 10.1080/13506285.2014.991368
  78. Ullman S., Assif L., Fetaya E., Harari D. Atoms of recognition in human and computer vision.  PNAS 113 (10) 2744-2749, 2016
  79. Ben-Yosef G, Assif L, Ullman S.  Full interpretation of minimal images Cognition. 2017, 171:65-84.
  80. Ben-Yosef, G. and Ullman, S. 2018. Image interpretation above and below the object level   Roy. Soc. Interface Focus 6;8(4)
  81. Owaki, T, Vidal-Naquet, M, Nam, Y, Uchida, G, Sato, T, Câteau, H, Shimon Ullman, S and Manabu Tanifuji, M.  Searching for visual features that explain response variance of face neurons in inferior temporal cortex.  PLOS one, 13, 1-27, 2018 
  82. Guy-Preis, S. Chayet, H. Katz, Yashunsky, V.  Avigail Kaner, A. Ullman, S. Braslavsky, I.  Labyrinth ice pattern formation induced by near-infrared irradiation. Sci. Adv. 5 1-10, 2019

  83. Ullman, S, Dorfman, N, Harari, D.  A model for discovering ‘containment’ relations.  Cognition,  183: 67-81, 2019  
  84. Holzinger, Y. Ullman, S. Harari, D. Behrmann, M. Avidan, G. Minimal Recognizable Configurations (MIRCs) elicit category-selective responses in higher-order visual cortex Journal of Cognitive Neuroscience 31(9) 1354-1367, 2019  

  85. Ullman, S. Using neuroscience to develop artificial intelligence. Science, 363 (6428), 692-693, 2019.
  86. Ben-Yosef, G, Kreiman, G, Ullman, S. Spatiotemporal interpretation features in recognition of dynamic images.  Submitted