Sample Publications

1. Books:
   
   • S. Ullman. The Interpretation of Visual Motion. Cambridge, MA. The MIT Press, 1979. Russian Edition, 1984.
   
   • S. Ullman and W. Richards (eds). Image Understanding 1984. New Jersey: Ablex Publishing Co. Includes an introduction by S. Ullman, 5-19, 1984.
   
   • W. Richards and S. Ullman (eds). Image Understanding 1985-1986. New Jersey: Ablex Publishing Co., 1986.
   
   • S. Ullman and W. Richards (eds). Image Understanding 1989. New Jersey: Ablex Publishing Co., 1990.
   
   • S. Ullman. High-level Vision: Object Recognition and Visual Cognition. Cambridge, MA: The MIT Press, 1996.
   
   • Ullman, S. and Epshtein, B. Visual classification by a hierarchy of extended fragments. Towards Category-Level Object Recognition Springer, 2006, pp. 321-344, J. Ponce, M. Hebert, C. Schmid and A. Zisserman (eds.)
   
   • Ullman, S. Beyond Classification. Object Categorization: Computer and Human Vision Perspectives Cambridge University Press, 2009, Dickinson (ed.)
   
   • Vidal-Naquet, M., Ullman, S., Tanifuji, M. Extracting MAX-pooling receptive fields with natural image fragments. Frontiers in Systems Neuroscience COSYNE meeting, 2009
   
   • Ullman, S. Forward to David Marr: Vision MIT Press, 2010
   
   
   
2. Sample Publications:
   
   • Ullman, S. (1995). Sequence-seeking and counter streams: A computational model for bi-directional information flow in the visual cortex. Cerebral Cortex, 5(1) 1-11. link

   • Bar, M. and Ullman, S. (1996). Spatial context in recognition. Perception, 25 343-352. pdf 205kb

   • Moses, Y., Ullman, S. and Edelman, S. (1996). Generalization to novel images in upright and inverted faces. Perception, 25 443-461.pdf 395kb

   • Adini, Y., Moses, Y. and Ullman, S. (1997). Face recognition: the problem of compensating for changes in illumination direction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19, 721-732. link

   • Ullman, S. and Zeria, A. (1997). Object recognition using stochastic optimization. Proceedings of the Venice Meeting on Optimization in Computer Vision. Springer-Verlag.

   • Ullman, S. (1998). Three-dimensional object recognition based on the combination of views. Cognition, 67(1) 21-44. pdf 298kb

   • Moses, Y. and Ullman, S. (1998). Generalization to novel views: Universal, class-based and model-based processing. International Journal of Computer Vision, 29(3) 233-253. pdf 204kb

   • Sali, E. and Ullman, S. (1998). Recognizing novel 3-D objects under new illumination and viewing position using a small number of example views or even a single view. Proceedings of the Sixth International Conference on Computer Vision, Bombay, India, 153-161.

   • Ullman, S. & Solovieiv, S. (1999) Computation of pattern invariance in brain-like structures. Neural Networks, 12, 1021-1036. pdf 1,398kb

   • Sali, E. & Ullman, S. (1999) Combining class-specific fragments for object classification. In Proc. 10th British Machine Vision Conference, volume 1, 203 - 213. pdf 2,070kb
   
   • Sali, E. & Ullman, S.(1999) Detecting object classes by the detection of overlapping 2-D fragments. In: D. Chernikov & T. Szinanyi, (eds.) Proceedings of the Workshop on Fundamental Structural Properties in Image and Pattern Analysis, 123-132. Published by OCG, Austrian Computer Society.
   
   • Ullman, S. & Sali, E.(2000) Object Classification Using a Fragment-Based Representatio. In: Seong-Whan Lee, Heinrich H. Bulthoff, Tomaso Poggio (eds.): Biologically Motivated Computer Vision, First IEEE International Workshop, BMVC 2000, Seoul, Korea, May 15-17, Proc. Lecture Notes in Computer Science 1811 Springer, 73-87. pdf 968kb

   • Ullman, S., Sali, E. & Vidal-Naquet, M. (2001) A fragment-based approach to object representation and classification. In: A. Arcelli, L.P. Cordella & G. Sanniti di Baja (eds.), International Workshop on Visual Form, Berlin: Springer, 85-100. pdf 741kb

   • Borenstein, E. & Ullman, S. (2001) Class specific top down-segmentation. Proceedings of the European Conference on Computer Vision, 110-122. pdf 1,248kb

   • Gilaie-Dotan, S., Ullman, S., Kushnir, T., Malach, R. (2001) Shape-selective stereo processing in human object-related visual areas. Human Brain Mapping 15, 67-79. pdf 895kb

   • Ullman, S., Vidal-Naquet, M. , and Sali, E. (2002) Visual features of intermediate complexity and their use in classification. Nature Neuroscience, 5(7), 1-6. pdf 640kb

   • Zur, D., Ullman, S. (2003) Filling of Retinal scotomas. Vision Research, 43 971-982.link
   

   • Ullman, S. (2003) Approaches to visual recognition. Attention and Performance XX, Oxford University Press. link
   

   • Bart, E., Byvatov, E., Ullman, S. (2004) View-invariant recognition using corresponding object fragments. ECCV, LNCS 3023, 152-165, Prague link
   

   • E. Borenstein and S. Ullman (2004) Learning to segment. ECCV, LNCS 3023, 315-328, Prague link
   

   • E. Borenstein and S. Ullman (2004) Combining bottom-up and top-down segmentation. CVPR workshop on Perceptual Organization in Computer Vision link
   

   • E. Bart and S. Ullman (2004) Class-based matching of object parts. CVPR Workshop on Image and Video Registration link
   

   • E. Bart and S. Ullman (2004) Image normalization by mutual information. BMVC link
   

   • E. Bart and S. Ullman (2005) Learning a novel class from a single example by cross-generalization. CVPR, pp. 1063-1069 link
   

   • Vidal Naquet, M. Miyakawa, N., Sato, T., Nakahara, H., Ullman, S. and Tanifuji, M. (2005) A fragment based approach for the characterization of V1 receptive fields. SFN Abstract link
   

   • Ecker, A. and Ullman, S. (2005) A hierarchical non-parametric method for capturing non-rigid transformation. Canadian Robotics and Vision Conference, pp. 50-56 link
   

   • Bart, E. and Ullman, S. (2005) Single-example learning of novel classes using representation by similarity. BMVC, Oxford, England link
   

   • Epshtein, B. and Ullman, S. (2005) Identifying semantically equivalent object parts. CVPR, pp. 2-9 link
   

   • Epshtein, B. and Ullman, S. (2005) Hierarchical features for object classification. ICCV, pp. 220-227 link
   

   • Fink, M., Shalev-Shwartz, S., Singer, Y. and Ullman, S. (2006) Online Multiclass Learning by Interclass Hypothesis Sharing. ICML, pp. 313-320 link
   

   • Levi, D. and Ullman. (2006) Learning to classify by ongoing feature selection. CRV, Recipient of Best CRV Paper Award. link
   

   • Epstein, B. and Ullman, S. (2006) Satellite Features for the Classification of Visually Similar Classes. CVPR, pp. 2079-2086. link
   

   • Bart, E. and Ullman, S. (2006) Object recognition by eliminating distracting information. ICCVG, Warsaw, Poland. link
   

   • Epshtein, B. and Ullman, S. (2007) Semantic Hierarchies for recognizing objects and parts. CVPR, pp. 1-8. link
   

   • Amit, Y., Srebro, N., Ullman, S. and Fink, M. (2007) Uncovering Shared Structures in Multiclass Classification. ICML, 227, pp. 17-24. link
   

   • Karlinsky, L. Dinershtein, M. Levi, D. Ullman, S. (2008) Unsupervised Classification and Part Localization by Consistency Amplification. ECCV, vol. 2, pp. 321-335. link
   

   • Karlinsky, L. Dinershtein, M. Levi, D. Ullman, S. (2008) Combined model for detecting, localizing and recognizing faces. ECCV Workshop on Faces in Real-life Images, pp. 1-14. link
   

   • Karlinsky, L. Dinershtein, D. Ullman, S. (2009) Unsupervised feature optimization (UFO): Simultaneous selection of multiple features with their detection parameters. CVPR, pp. 1263-1270. link
   

   • Levi, D. and Ullman, S. (2009) Learning model complexity in an online environment. CRV, pp. 260-267, IAPR Best Paper Award for 2009. link
   

   • Karlinsky L., Dinerstein M., Harari D., and Ullman S. (2010) The chains model for detecting parts by their context. CVPR, 2010. pdf 3636kb

   • Karlinsky, L. Dinershtein, D. Ullman, S. (2010) Using body-anchored priors for identifying actions in single images. NIPS, Accepted. link
   

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