Chapters in Books and Abstracts

  1. S. Ullman. The visual detection of light sources. In: P.H. Winston and R.H. Brown (eds.), Artificial Intelligence: An M.I.T. Perspective. Cambridge and London: The M.I.T. Press, 83-100, 1979.
  2. S. Ullman. The rigidity implicit assumption in the interpretation 3-D structure. In: W.E. Reichardt, V.B. Mountcastle, and T. Poggio (eds.), Recent Theoretical Developments in Neurobiology, Cambridge and London: The M.I.T. Press, 167-176, 1981.
  3. S. Ullman. Recent computational studies in the interpretation of structure from motion. In: A. Rosenfeld and J. Beck (eds.), Human and Machine Vision, Academic Press, 1983.
  4. S. Ullman and E. Hildreth. The measurement of visual motion. In: O.J. Braddick and A.C. Sleigh (eds.), Physical and Biological Processing of Images. Berlin: Springer-Verlag, 1983.
  5. S. Ullman. Computation and mechanisms in the early processing of visual information. In: M. Gazzaniga (ed.) Handbook of Cognitive Neuroscience, New York: Plenum Publishing Co., 1984.
  6. S. Ullman. On the measurement and use of visual motion. In: G.M. Edelman, W.E. Gale, and W.M. Cowan (eds.), Dynamic Aspects of Neocortical Function. John Wiley and Sons, Inc., 1984.
  7. S. Ullman. Where bottom-up and top-down processing meet. In: E.C. Schwab and H.C. Nussbaum (eds.), Pattern Recognition by Humans and Machines, Academic Press, 1986.
  8. S. Ullman and C. Koch. Selective visual attention. In: G. Adelman (ed.), Encyclopedia of Neuroscience,Vol. 1, Boston: Birkhauser, 86-7, 1987. Reprinted in: Sensory Systems I: Vision and Visual Systems.
  9. S. Ullman. Visual motion. In: G. Adelman (ed.), Encyclopedia of Neuroscience, Vol. 2, Boston: Birkhauser, 1280-1281, 1987. Reprinted in: Sensory Systems I: Vision and Visual Systems.
  10. S. Ullman. The incremental rigidity scheme and long-range motion correspondence. In: W.N. Martin and J.K. Aggarwal (eds.), Motion Understanding, Kluwer Academic Publishers, 1988.
  11. J.V. Mahoney and S. Ullman. Image chunking: defining spatial building blocks for scene analysis. In: Z. Pylyshyn (ed.), Computational Processes in Human Vision, New Jersey: Ablex Publishing Co., 1988.
  12. Yuille and S. Ullman. Computational vision. In: D.N. Osherson (ed.), An Invitation to Cognitive Science,Cambridge, MA: The MIT Press, 5-39, 1989.
  13. E.C. Hildreth and S. Ullman. The computational study of vision. In: M. Posner (ed.), Foundations of Cognitive Science - Vol. 2, Cambridge, MA: The MIT Press, 5-39, 1989.
  14. S. Ullman. Beyond V1: Problems in intermediate level vision. In: G.M. Edelman, W.E. Gall, and W.M. Cowan (eds.), Signal and Sense, New York, NY: Wiley-Liss, 1990.
  15. Yuille and S. Ullman. Rigidity and Smoothness of Motion: Justifying the Smoothness Assumption in Motion Measurement. In: S. Ullman and W. Richards (eds.), Image Understanding 1989. Norwood, New Jersey: Ablex Publishing Co., 163-184, 1990.
  16. A.J. Akerib, S. Ruhman and S. Ullman. Real Time Associative Vision Machine. Artificial Intelligence and Computer Vision, Y.A. Feldman and A. Bruckstein (Eds.), Elsevier Science Publishers B.V. (North-Holland), 441-453 (1991).
  17. S. Ullman. Sequence-Seeking and Counter Streams: A Model for Bi-Directional Information Flow in the Cortex. Large-Scale Theories of the Brain, C.Koch and J.L.Davis (Eds.), 257-276, 1994.
  18. Vidal Naquet, M. Miyakawa, N., Sato, T., Nakahara, H., Ullman, S. and Tanifuji, M. A fragment based approach for the characterization of V1 receptive fields. SFN Abstract, 2005.
  19. Ullman, S. & Epshtein, B.  Visual classification by a hierarchy of extended fragments. In: J. Ponce, M. Hebert, C. Schmid & A. Zisserman (eds.), Towards Category-Level Object Recognition. Springer, 2006, 321-344. 
  20. Ullman, S. Beyond Classification. In: S. Dickinson (ed.) Object Categorization: Computer and Human Vision Perspectives. CambridgeUniversity Press. To appear in 2009.
  21. Vidal-Naquet, M., Ullman, S., Tanifuji, M. 2009 Extracting MAX-pooling receptive fields with natural image fragments. COSYNE meeting, Frontiers in Systems Neuroscience.
  22. Forward to David Marr: Vision, MIT Press 2010 xvii – xxiii
  23. Owaki, T,  Vidal-Naquet, M, Sato, T, Chateau, H, Ullman, S, Tanifuji, M. Diversity of visual features represented in a face selective sub-region of macaque anterior inferior temporal cortex.  Society for Neuroscience Abstract, New Orleans, October 2012  
  24. Ben-Yosef, G. Assif, L. Harari D. Fetaya, E. Ullman, S. Object interpretation: extending and validating object recognition, Florida 2014.