Publications

    2025

    148.
    Casile A., Cordier A., Kim J. G. et al. (2025) Cell Reports. 44, 3, 115429.  Abstract [All authors]

    2023

    147.
    Ullman S., Assif L., Strugatski A., Vatashsky B. Z., Levi H., Netanyahu A. & Yaari A. (2023) Proceedings of the National Academy of Sciences of the United States of America. 120, 40, e221117912.  Abstract
    146.
    Segev D., Basri R., Batash T. et al. (2023) 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023.  Abstract [All authors]
    145.
    Doveh S., Arbelle A., Harary S. et al. (2023) Advances in Neural Information Processing Systems. Globerson A., Oh A., Saenko K., Hardt M., Levine S. & Neumann T.(eds.). Vol. 36. p. 76137-76150  Abstract [All authors]
    144.
    Doveh S., Arbelle A., Harary S. et al. (2023) Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. p. 2657-2668  Abstract [All authors]

    2022

    143.
    Zohary E., Harari D., Ullman S., Ben-Zion I., Doron R., Attias S., Porat Y., Sklar A. Y. & Mckyton A. (2022) Proceedings of the National Academy of Sciences - PNAS. 119, 20, e211718411.  Abstract

    2021

    142.
    Gruber L. Z., Ullman S. & Ahissar E. (2021) Proceedings of the National Academy of Sciences of the United States of America. 118, 34, e202279211.  Abstract
    141.
    Nam Y., Sato T., Uchida G., Malakhova E., Ullman S. & Tanifuji M. (2021) Scientific Reports. 11, 7827.  Abstract
    140.
    Arbelle A., Doveh S., Alfassy A. et al. (2021) Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. p. 1781-1792  Abstract [All authors]

    2020

    139.
    Ben-Yosef G., Kreiman G. & Ullman S. (2020) Cognition. 201, 104263.  Abstract
    138.
    Patish U. & Ullman S. (2020) AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. Vol. 34. p. 2400-2407  Abstract
    137.
    Vatashsky B. Z. & Ullman S. (2020) Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 10373-10383 9157617.  Abstract

    2019

    136.
    Holzinger Y., Ullman S., Harari D., Behrmann M. & Avidan G. (2019) Journal of Cognitive Neuroscience. 31, 9, p. 1354-1367  Abstract
    135.
    Preis S. G., Chayet H., Katz A., Yashunsky V., Kaner A., Ullman S. & Braslavsky I. (2019) Science Advances. 5, 3, 1598.  Abstract
    134.
    Ullman S. (2019) Science. 363, 6428, p. 692-693  Abstract

    2018

    133.
    Ullman S., Dorfman N. & Harari D. (2018) Cognition. 183, p. 67-81  Abstract
    132.
    Owaki T., Vidal-Naquet M., Nam Y., Uchida G., Sato T., Cateau H., Ullman S. & Tanifuji M. (2018) PLoS ONE. 13, 9, 0201192.  Abstract
    131.
    Ben-Yosef G. & Ullman S. (2018) Interface Focus. 8, 4, 20180020.  Abstract
    130.
    Ben-Yosef G., Assif L. & Ullman S. (2018) Cognition. 171, p. 65-84  Abstract
    129.
    Action Classification via Concepts and Attributes
    Rosenfeld A. & Ullman S. (2018) 2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR). p. 1499-1505 (trueInternational Conference on Pattern Recognition).  Abstract

    2017

    128.
    Rosenfeld A. & Ullman S. (2017) COMPUTER VISION - ACCV 2016, PT V. Lepetit, Nishino K., Lai SH. & Sato Y.(eds.). p. 264-279 (trueLecture Notes in Computer Science).  Abstract
    127.
    A model for interpreting social interactions in local image regions
    Ben-Yosef G., Yachin A. & Ullman S. (2017) AAAI Spring Symposium - Technical Report. p. 525-528  Abstract

    2016

    126.
    Rosenfeld A. & Ullman S. (2016) Proceedings - 2016 13th Conference on Computer and Robot Vision, CRV 2016. Guerrero J.(eds.). p. 148-155  Abstract
    125.
    Lifshitz I., Fetaya E. & Ullman S. (2016) Computer Vision - 14th European Conference, ECCV 2016, Proceedings. Leibe B., Matas J., Welling M. & Sebe N.(eds.). p. 246-260  Abstract
    124.
    Ullman S., Assif L., Fetaya E. & Harari D. (2016) Proceedings of the National Academy of Sciences - PNAS. 113, 10, p. 2744-2749  Abstract

    2015

    123.
    Berzak Y., Barbu A., Harari D., Katz B. & Ullman S. (2015) Conference Proceedings - EMNLP 2015. p. 1477-1487  Abstract
    122.
    De La Rosa L. R. S., Choudhery R. N., Curio C., Ullman S., Assif L. & Buelthoff H. H. (2015) Visual Cognition. 22, p. 1233-1271  Abstract
    121.
    A model for full local image interpretation
    Ben-Yosef G., Assif L., Harari D. & Ullman S. (2015) Proceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015. Warlaumont A., Jennings C. D., Noelle D. C., Yoshimi J., Maglio P. P., Dale R. & Matlock T.(eds.). p. 220-225  Abstract
    120.
    Learning local invariant mahalanobis distances
    Fetaya E. & Ullman S. (2015) 32nd International Conference on Machine Learning, ICML 2015. Blei D. & Bach F.(eds.). p. 162-168  Abstract
    119.
    Fetaya E., Shamir O. & Ullman S. (2015) Journal of Machine Learning Research. 38, p. 241-249  Abstract
    118.
    A Model for Full Local Image Interpretation
    Ben-Yosef, G., Assif, L., Harari, D., Ullman, S (2015) The Annual Conference of the Cognitive Science Society - CogSci.
    117.
    Do You See What I Mean? Visual Resolution of Linguistic Proc. Empirical Methods on Natural Language Processing
    Berzak, Y., Barbu et al. (2015) [All authors]

    2014

    116.
    Markov N. T., Vezoli J., Chameau P. et al. (2014) Journal of Comparative Neurology. 522, 1, p. 225-259  Abstract [All authors]

    2013

    115.
    Poggio T. & Ullman S. (2013) Conference Reports: Evolutionary Dynamics And Information Hierarchies In Biological Systems: Aspen Center For Physics Workshop And Cracking The Neural Code: Third Annual Aspen Brain Forums. 1305, 1, p. 72-82  Abstract
    114.
    Extending recognition in a changing environment
    Harari D. & Ullman S. (2013) VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications. p. 632-640  Abstract
    113.
    Learning to Perceive Coherent Objects
    Dorfman N., Harari D. & Ullman S. (2013) Cooperative Minds. Wachsmuth I., Knauff M., Pauen M. & Sebanz N.(eds.). p. 394-399  Abstract
    112.
    Learning to Perceive Coherent Objects
    Dorfman, N., Harari, D. And Ullman, S. (2013) Proceedings of the Annual Meeting of the Cognitive Science Society - CogSci, pp 394-399.

    [PDF]  [Slides]  [Project page]

    *Winner of the 2013 Marr Prize

    2012

    111.
    Ullman S., Harari D. & Dorfman N. (2012) Proceedings of the National Academy of Sciences of the United States of America. 109, 44, p. 18215-18220  Abstract
    110.
    Karlinsky L. & Ullman S. (2012) Computer Vision, ECCV 2012 - 12th European Conference on Computer Vision, Proceedings. PART 3 ed. p. 326-339  Abstract

    2011

    109.
    Owaki T., Vidal-Naquet M., Sato T., Cateau H., Ullman S. & Tanifuji M. (2011) Neuroscience Research. 71, p. E71-E71  Abstract
    108.
    Harel A., Ullman S., Harari D. & Bentin S. (2011) Journal of Vision. 11, 8, p. 1-13  Abstract

    2010

    107.
    Ullman S. (2010) Object Categorization. Leonardis A., Schiele B., J. Tarr M. & J. Dickinson S.(eds.). Vol. 9780521887380. p. 288-300  Abstract
    106.
    Levi D. & Ullman S. (2010) Image and Vision Computing. 28, 4, p. 715-723  Abstract
    105.
    Using body-anchored priors for identifying actions in single images
    Karlinsky L., Dinerstein M. & Ullman S. (2010) Advances in Neural Information Processing Systems 23.  Abstract
    104.
    Karlinsky L., Dinerstein M., Harari D. & Ullman S. (2010) 2010 Ieee Conference On Computer Vision And Pattern Recognition (Cvpr). p. 25-32  Abstract
    103.
    Vidal-Naquet M. J., Tanifuji M., Maldonado P., Ullman S. & Gruen S. (2010) Neuroscience Research. 68, p. E380-E380  Abstract
    102.
    Using body-anchored priors for identifying actions in single images
    Karlinsky, L. Dinershtein, D. Ullman, S. (2010) Neural Information Processing, 1-9, 2010..

    2009

    101.
    Litvak S. & Ullman S. (2009) Neural Computation. 21, 11, p. 3010-3056  Abstract
    100.
    Ecker A. & Ullman S. (2009) Image and Vision Computing. 27, 1-2, p. 87-98  Abstract
    99.
    Unsupervised Feature Optimization (UFO): simultaneous selection of multiple features with their detection parameters
    Karlinsky L., Dinerstein M. & Ullman S. (2009) Cvpr: 2009 Ieee Conference On Computer Vision And Pattern Recognition, Vols 1-4. p. 1263-1270  Abstract
    98.
    Levi D. & Ullman S. (2009) Proceedings of the 2009 Canadian Conference on Computer and Robot Vision, CRV 2009. p. 260-267  Abstract

    2008

    97.
    Epshtein B., Lifshitz I. & Ullman S. (2008) Proceedings of the National Academy of Sciences of the United States of America. 105, 38, p. 14298-14303  Abstract
    96.
    Akselrod-Ballin A. & Ullman S. (2008) Image and Vision Computing. 26, 9, p. 1269-1276  Abstract
    95.
    Goldberg I., Ullman S. & Malach R. (2008) Consciousness and Cognition. 17, 3, p. 587-601  Abstract
    94.
    Bart E. & Ullman S. (2008) IEEE Transactions on Pattern Analysis and Machine Intelligence. 30, 9, p. 1618-1631  Abstract
    93.
    Lerner Y., Epshtein B., Ullman S. & Malach R. (2008) Journal of Cognitive Neuroscience. 20, 7, p. 1189-1206  Abstract
    92.
    Fink M. & Ullman S. (2008) International Journal of Computer Vision. 77, 1-3, p. 143-156  Abstract
    91.
    Mcmanus J. N., Ullman S. & Gilbert C. D. (2008) Journal of Neurophysiology. 99, 5, p. 2086-2100  Abstract
    90.
    Borenstein E. & Ullman S. (2008) IEEE Transactions on Pattern Analysis and Machine Intelligence. 30, 12, p. 2109-2125  Abstract
    89.
    Unsupervised Classification and Part Localization by Consistency Amplification
    Karlinsky L., Dinerstein M., Levi D. & Ullman S. (2008) Computer Vision - Eccv 2008, Pt Ii, Proceedings. 5303, p. 321-335  Abstract
    88.
    Combined model for detecting, localizing and recognizing faces
    Karlinsky, L. Dinershtein, M. Levi, D. Ullman, S. (2008) ECCV Workshop on Faces in Real-life Images, pp. 1-14..

    2007

    87.
    Harel A., Ullman S., Epshtein B. & Bentin S. (2007) Vision Research. 47, 15, p. 2010-2020  Abstract
    86.
    Amit Y., Fink M., Srebro N. & Ullman S. (2007) p. 17-24  Abstract
    85.
    Ullman S. (2007) Trends in Cognitive Sciences. 11, 2, p. 58-64  Abstract
    84.
    Semantic hierarchies for recognizing objects and parts
    Epshtein B. & Ullman S. (2007) 2007 Ieee Conference On Computer Vision And Pattern Recognition, Vols 1-8. p. 891-898  Abstract
    83.
    Uncovering Shared Structures in Multiclass Classification
    Amit, Y., Srebro, N., Ullman, S. And Fink, M (2007) ICML, 227, pp. 17-24..

    2006

    82.
    Fink M., Shalev-Shwartz S., Singer Y. & Ullman S. (2006) ACM International Conference Proceeding Series - Proceedings of the 23rd International Conference on Machine Learning, ICML 2006. p. 313-320  Abstract
    81.
    Epshtein B. & Ullman S. (2006) Proceedings - 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006. Vol. 2. p. 2079-2086  Abstract
    80.
    Visual classification by a hierarchy of extended fragments
    Ullman S. & Epshtein B. (2006) Toward Category-Level Object Recognition. 4170, p. 321-344  Abstract
    79.
    Levi D. & Ullman S. (2006) Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006.  Abstract
    78.
    Online Multiclass Learning by Interclass Hypothesis Sharing
    Fink, M., Shalev-Shwartz, S., Singer, Y. And Ullman, S. (2006) ICML, pp. 313-320.
    77.
    Learning to classify by ongoing feature selection
    Levi, D. And Ullman (2006) CRV, Recipient of Best CRV Paper Award.
    76.
    Satellite Features for the Classification of Visually Similar Classes
    Epstein, B. And Ullman, S. (2006) CVPR, pp. 2079-2086.
    75.
    Object recognition by eliminating distracting information
    Bart, E. And Ullman, S. (2006) ICCVG, Warsaw, Poland..

    2005

    74.
    Calford M. B., Chino Y. M., Das A., Eysel U. T., Gilbert C. D., Heinen S. J., Kaas J. H. & Ullman S. (2005) Nature. 438, 7065, p. E3  Abstract
    73.
    Shmuel A., Korman M., Sterkin A., Harel M., Ullman S., Malach R. & Grinvald A. (2005) Journal of Neuroscience. 25, 8, p. 2117-2131  Abstract
    72.
    Ecker A. & Ullman S. (2005) Proceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005. p. 50-56  Abstract
    71.
    Cross-generalization: learning novel classes from a single example by feature replacement
    Bart E. & Ullman S. (2005) 2005 Ieee Computer Society Conference On Computer Vision And Pattern Recognition, Vol 1, Proceedings. p. 672-679  Abstract
    70.
    Identifying semantically equivalent object fragments
    Epshtein B. & Ullman S. (2005) 2005 Ieee Computer Society Conference On Computer Vision And Pattern Recognition, Vol 1, Proceedings. p. 2-9  Abstract
    69.
    Feature hierarchies for object classification
    Epshtein B. & Ullman S. (2005) Tenth Ieee International Conference On Computer Vision, Vols 1 And 2, Proceedings. p. 220-227  Abstract
    68.
    Bart E. & Ullman S. (2005)  Abstract
    67.
    Learning a novel class from a single example by cross-generalization.
    E. Bart And S. Ullman (2005) CVPR, pp. 1063-1069.
    66.
    A fragment based approach for the characterization of V1 receptive fields
    Vidal Naquet, M. Miyakawa, N. et al. (2005) SFN Abstract. [All authors]
    65.
    A hierarchical non-parametric method for capturing non-rigid transformation
    Ecker, A. And Ullman, S. (2005) Canadian Robotics and Vision Conference, pp. 50-56.
    64.
    Single-example learning of novel classes using representation by similarity
    Bart, E. And Ullman, S. (2005) BMVC, Oxford, England .

    2004

    63.
    Zur D., Ben Simon S. G., Loewenstein A., Alster Y., Moisseiev J. & Ullman S. (2004) Ophthalmic Surgery Lasers and Imaging. 35, 5, p. 395-405  Abstract
    62.
    Ullman S. & Bart E. (2004) Neural Networks. 17, 5-6, p. 833-848  Abstract
    61.
    Bart E. & Ullman S. (2004) IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2004-January, January, 1384972.  Abstract
    60.
    Borenstein E., Sharon E. & Ullman S. (2004) IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2004-January, January, 1384838.  Abstract
    59.
    Borenstein E. & Ullman S. (2004) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3023, p. 315-328  Abstract
    58.
    View-invariant recognition using corresponding object fragments
    Bart E., Byvatov E. & Ullman S. (2004) Computer Vision - Eccv 2004, Pt 2. 3022, p. 152-165  Abstract
    57.
    Combining bottom-up and top-down segmentation
    E. Borenstein And S. Ullman (2004) CVPR workshop on Perceptual Organization in Computer Vision.
    56.
    Class-based matching of object parts
    E. Bart And S. Ullman (2004) CVPR Workshop on Image and Video Registration.
    55.
    Image normalization by mutual information
    E. Bart And S. Ullman (2004) Bmvc.

    2003

    54.
    Zur D. & Ullman S. (2003) Vision Research. 43, 9, p. 971-982  Abstract
    53.
    Object recognition with informative features and linear classi cation pound
    Vidal-Naquet M. & Ullman S. (2003) Ninth Ieee International Conference On Computer Vision, Vols I And Ii, Proceedings. p. 281-288  Abstract
    52.
    Approaches to visual recognition
    Ullman, S (2003) Attention and Performance XX, Oxford University Press..

    2002

    51.
    Ullman S., Vidal-Naquet M. & Sali E. (2002) Amino Acids. 23, 4, p. 343  Abstract
    50.
    Zur D. & Ullman S. (2002) Journal of Vision. 2, 7, p. 183a  Abstract
    49.
    Ullman S., Vidal-Naquet M. & Sali E. (2002) Nature Neuroscience. 5, 7, p. 682-687  Abstract
    48.
    Gilaie-Dotan S., Ullman S., Kushnir T. & Malach R. (2002) Human Brain Mapping. 15, 2, p. 67-79  Abstract
    47.
    Class-specific, top-down segmentation
    Borenstein E. & Ullman S. (2002) Computer Vision - Eccv 2002, Pt Ii. 2351, p. 109-122  Abstract

    2001

    46.
    Ullman S., Sali E. & Vidal-Naquet M. (2001) Visual Form 2001 - 4th International Workshop on Visual Form, IWVF4, Proceedings. Arcelli C., di Baja G. S. & Cordella L. P.(eds.). p. 85-100  Abstract
    45.
    A fragment-based approach to object representation and classification
    Ullman, S., Sali, E. & Vidal-Naquet, M (2001) International Workshop on Visual Form, Berlin: Springer, 85-100..

    2000

    44.
    Object classification using a fragment-based representation
    Ullman S. & Sali E. (2000) Biologically Motivated Computer Vision, Proceeding. 1811, p. 73-87  Abstract

    1999

    43.
    Ullman S. & Soloviev S. (1999) Neural Networks. 12, 7-8, p. 1021-1036  Abstract
    42.
    Combining class-specific fragments for object classification.
    Sali, E. & Ullman, S. (1999) In Proc. 10th British Machine Vision Conference, volume 1, 203 - 213..
    41.
    Detecting object classes by the detection of overlapping 2-D fragments.
    Sali, E. & Ullman, S. In: D. Chernikov & T. Szinanyi, (Eds.) (1999) Proceedings of the Workshop on Fundamental Structural Properties in Image and Pattern Analysis, 123-132. Published by OCG, Austrian Computer Society..

    1998

    40.
    Ullman S. (1998) Cognition. 67, 1-2, p. 21-44  Abstract
    39.
    Recognizing novel 3-D objects under new illumination and viewing position using a small number of example views or even a single view
    Sali E. & Ullman S. (1998) p. 153-161  Abstract
    38.
    Brestel C. & Ullman S. (1998) European Signal Processing Conference. 1998-January,  Abstract
    37.
    Moses Y. & Ullman S. (1998) International Journal of Computer Vision. 29, 3, p. 233-253  Abstract

    1997

    36.
    Ullman S., Roth A., Thomson A. & Linne M. (1997) Trends in Neurosciences. 20, 2, p. 53-54  Abstract
    35.
    Adini Y., Moses Y. & Ullman S. (1997) IEEE Transactions on Pattern Analysis and Machine Intelligence. 19, 7, p. 721-732  Abstract
    34.
    Object recognition using stochastic optimization
    Ullman S. & Zeira A. (1997) Energy Minimization Methods In Computer Vision And Pattern Recognition, Proceedings. 1223, p. 329-344  Abstract

    1996

    33.
    Kositsky M. & Ullmann S. (1996) Track D. Vol. 4. p. 750-757  Abstract
    32.
    Bar M. & Ullman S. (1996) Perception. 25, 3, p. 343-352  Abstract
    31.
    Moses Y., Ullman S. & Edelman S. (1996) Perception. 25, 4, p. 443-461  Abstract

    1995

    30.
    Ullman S. (1995) Cerebral Cortex. 5, 1, p. 1-11  Abstract

    1994

    29.
    Moses Y., Adini Y. & Ullman S. (1994) Computer Vision ECCV 1994 - 3rd European Conference on Computer Vision, Proceedings. Eklundh J-O(eds.). Vol. 800. p. 286-296  Abstract

    1993

    28.
    Basri R. & Ullman S. (1993) CVGIP: Image Understanding. 57, 3, p. 331-345  Abstract
    27.
    Basri R. & Ullman S. (1993) Cvgip-Image Understanding. 57, 3, p. 331-345  Abstract

    1992

    26.
    Moses Y. & Ullman S. (1992) Computer Vision - ECCV 1992 - 2nd European Conference on Computer Vision, Proceedings. Sandini G.(eds.). p. 820-828  Abstract
    25.
    LIMITATIONS OF NONMODEL-BASED RECOGNITION SCHEMES
    Moses Y. & Ullman S. (1992) Computer Vision - Eccv 92. 588, p. 820-828  Abstract
    24.
    Ullman S. (1992) Philosophical Transactions of the Royal Society of London Series b-Biological Sciences. 337, 1281, p. 371-378; discussion 379  Abstract

    1991

    23.
    Ullman S. & Basri R. (1991) IEEE Transactions on Pattern Analysis and Machine Intelligence. 13, 10, p. 992-1006  Abstract
    22.
    Dick M., Ullman S. & Sagi D. (1991) Vision Research. 31, 11, p. 2025-2028  Abstract
    21.
    Guissin R. & Ullman S. (1991) Proceedings of the IEEE Workshop on Visual Motion. p. 146-155  Abstract

    1990

    20.
    Edelman S., Flash T. & Ullman S. (1990) International Journal of Computer Vision. 5, 3, p. 303-331  Abstract
    19.
    Moses Y., Schechtman G. & Ullman S. (1990) Biological Cybernetics. 63, 6, p. 463-475  Abstract
    18.
    BEYOND V1 - PROBLEMS IN INTERMEDIATE-LEVEL VISION
    Ullman S. (1990) Signal And Sense: Local And Global Order In Perceptual Maps. p. 143-162  Abstract

    1989

    17.
    Ullman S. (1989) Cognition. 32, 3, p. 193-254  Abstract

    1988

    16.
    FROM PIXELS TO PREDICATES - RECENT ADVANCES IN COMPUTATIONAL AND ROBOTIC VISION - PENTLAND,AP
    Ullman S. (1988) Contemporary Psychology. 33, 1, p. 48-48  Abstract

    1987

    15.
    Dick M., Ullman S. & Sagi D. (1987) Science. 237, 4813, p. 400-402  Abstract

    1986

    14.
    Richter J. & Ullman S. (1986) Biological Cybernetics. 54, 4-5, p. 313-317  Abstract
    13.
    Ullman S. (1986) Trends in Neurosciences. 9, C, p. 530-533  Abstract
    12.
    Artificial intelligence and the brain: Computational studies of the visual system
    Ullman S. (1986) Annual Review of Neuroscience. VOL. 9, p. 1-26  Abstract
    11.
    Richter J. & Ullman S. (1986) Biological Cybernetics. 53, 3, p. 195-202  Abstract

    1985

    10.
    Shifts in selective visual attention: Towards the underlying neural circuitry
    Koch C. & Ullman S. (1985) Human Neurobiology. 4, 4, p. 219-227  Abstract

    1984

    9.
    Ullman S. (1984) Perception. 13, 2, p. 219-220  Abstract
    8.
    Ullman S. (1984) Perception. 13, 3, p. 255-274  Abstract

    1983

    7.
    Ullman S. (1983) Trends in Neurosciences. 6, C, p. 177-179  Abstract

    1982

    6.
    Ullman S. & Schechtman G. (1982) Proceedings Of The Royal Society Series B-Biological Sciences. 216, 1204, p. 299-313  Abstract

    1981

    5.

    1980

    4.
    Ullman S. (1980) Perception. 9, 6, p. 617-626  Abstract

    1979

    3.
    Marr D., Ullman S. & Poggio T. (1979) Journal of the Optical Society of America. 69, 6, p. 914-916  Abstract
    2.
    VISUAL DETECTION OF LIGHT SOURCES.
    Ullman S. (1979) Energy Technology Review. 2, p. 81-100  Abstract
    1.
    Ullman S. (1979) Proceedings of the Royal Society B: Biological Sciences. 203, 1153, p. 405-426  Abstract