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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