E. Zohary, D. Harari, S. Ullman, I. Ben-Zion, R. Doron, S. Attias, Y. Porat, A.Y. Sklar, A. Mckyton (2022). Gaze-following requires early visual experience. Proceedings of the National Academy of Sciences - PNAS, 119(20): 1-12. (Online, Paper)
Y. Holzinger, S. Ullman, D. Harari, M. Behrmann , G. Avidan (2019). Minimal Recognizable Configurations Elicit Category-selective Responses in Higher Order Visual Cortex . J Cogn Neurosci. 31(9): 1354-1367. (Online, Paper)
S. Ullman, N. Dorfman, D. Harari (2019). A model for discovering 'containment' relations . Cognition, 183: 67-81.(Online, Project webpage)
S. Ullman, L. Assif, E. Fetaya, D. Harari (2016). Atoms of recognition in human and computer vision. Proceedings of the National Academy of Sciences - PNAS, 113(10): 2744-2749. (Online, Paper, Project webpage)
S. Ullman, D. Harari, N. Dorfman (2012). From simple innate biases to complex visual concepts. Proceedings of the National Academy of Sciences - PNAS 109(44): 18215-18220. (Online, Paper, Project webpage)
A. Harel, S. Ullman, D. Harari, S. Bentin (2011). Basic-level categorization of intermediate complexity fragments reveals top-down effects of expertise in visual perception. Journal of Vision 11(8):18, 1–13. (Online, Paper)
A. Caspi, R. Amiaz, N. Davidson, E. Czerniak, E. Gur, N. Kiryati, D. Harari, M. Furst, D. Stein (2016). Computerized assessment of body image in anorexia nervosa and bulimia nervosa: comparison with standardized body image assessment tool. Archives of Women's Mental Health, 1–9. (Online, Paper)
D. Harari, M. Furst, N. Kiryati, A. Caspi, M. Davidson (2001). A computer-based method for the assessment of body-image distortions in anorexia-nervosa patients. IEEE Transactions on Information Technology in Biomedicine 5(4): 311-319. (Online, Paper)
Conference Papers
A. Gizdov, S. Ullman, D. Harari (2024). Variable resolution improves visual question answering under a limited pixel budget. Human-inspired Computer Vision ECCV workshop. (Abstract, Paper)
M. Gunawardhana, L. Sadith, L. David, D. Harari, M.H. Khan (2024). How effective are Self-Supervised models for Contact Identification in Videos. IJCAI International Workshop on Deep Learning for Human Activity. (Abstract, Paper)
K.R.Y Nagasinghe, H. Zhou, M. Gunawardhana, M.R. Min, D. Harari, M.H. Khan (2024). Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos. Conference on Computer Vision and Pattern Recognition (CVPR). (Abstract, Paper, Project webpage)
V.S. Chipade, A.G. Gilbert, D. Harari, D. Panagou (2023). Collaborative Control of Multiple Aerial Robots for Inferring Human Intent from Gaze Following. Conference on Control Technology and Applications (CCTA). (Abstract, Paper)
D. Segev, R. Basri, T. Batash, I. Chowers, D. Harari, V. Lender, J. Levi, Y. Shwartz, L. Tiosano, S. Ullman, M. Galun (2023). Attention based multi-label classification of diabetic retinopathy from Optical coherence tomography. International Symposium on Biomedical Imaging (ISBI). (Abstract, Paper, Poster)
Y. Berzak, A. Barbu, D. Harari, B. Katz, S. Ullman (2015). Do you see what I mean? Visual resolution of linguistic ambiguities. Proceedings of the Conference on Empirical Methods on Natural Language Processing (EMNLP). (Paper, Corpus webpage)
G. Ben-Yosef, L. Assif, D. Harari, S. Ullman (2015). A model for full local image interpretation. The Annual Conference of the Cognitive Science Society (CogSci). (Abstract, Paper)
T. Gao, D. Harari, J. Tenenbaum, N. Kanwisher (2014). What are you looking at?: The acuity of joint attention. The Annual Meeting of the Vision Sciences Society. Journal of Vision (14):1273. (Abstract, Poster)
N. Dorfman, D. Harari, S. Ullman (2013). Learning to Perceive Coherent Objects. Proceedings of The Annual Meeting of the Cognitive Science Society (CogSci), 394-399. (Abstract, Paper, Marr prize, Project webpage)
D. Harari, S. Ullman (2013). Extending Recognition in a Changing Environment. Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP), 1:632-640. (Abstract, Paper, Project webpage)
L. Karlinsky, M. Dinerstein, D. Harari, S. Ullman (2010). The chains model for detecting parts by their context. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) :25-32. (Abstract, Paper, Slides, Matlab code)
D. Harari, M. Furst, N. Kiryati, A. Caspi, M. Davidson (2000). Computer-based assessment of body image distortion in anorexia nervosa patients. Lecture Notes in Computer Science of the Third International Conference in Medical Image Computing and Computer-Assisted Intervention (MICCAI), 1935: 766-775. (Abstract, Paper)
Memos, Preprints & Abstracts
I. Dave, M. Gunawardhana, L. Sadith, H. Zhou, L. David, D. Harari, M. Shah, M.H. Khan (2024). Unifying Video Self-Supervised Learning across Families of Tasks: A Survey. Preprints, 2024080133 (Abstract, Paper)
D. Harari, A. Mars, H. Benoni, S. Ullman (2022). The dynamics of scene understanding. The Annual Meeting of the Vision Sciences Society. Journal of Vision (22):3555. (Abstract, Slides)
A. Cooper, X. Boix, D. Harari, S. Madan, H. Pfister, T. Sasaki, P. Sinha (2021). To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing? arXiv:2109.13445 [cs.CV]. (Abstract, Paper)
H. Benoni, D. Harari, S. Ullman (2020). What takes the brain so long: Object recognition at the level of minimal images develops for up to seconds of presentation time. arXiv:2006.05249 [q-bio.NC]. (Abstract, Paper)
D. Harari, H. Benoni, S. Ullman (2020). Object recognition at the level of minimal images develops for up to seconds of presentation time. The Annual Meeting of the Vision Sciences Society. Journal of Vision (20):266. (Abstract, Poster)
T. S. Altavini, G. Astorga, D. Harari, S. Ullman, G. N. Reeke, W. Freiwald, C. D. Gilbert (2018). Cortical representation of objects and their components. The Annual Meeting of the Society for Neuroscience (SfN). (Abstract)
H. Gorodissky, D. Harari, S. Ullman (2018). Large field and high resolution: detecting needle in a haystack. The Annual Meeting of the Vision Sciences Society. Journal of Vision (18):517. (Abstract, Poster)
H. Gorodissky, D. Harari, S. Ullman (2018). Large Field and High Resolution: Detecting Needle in Haystack. arXiv:1804.03576 [cs.CV]. (Abstract, Paper)
D. Harari, J. Tenenbaum, S. Ullman (2018). Discovery and usage of joint attention in images. arXiv:1804.04604 [cs.CV].
(Abstract, Paper)
G.Tao, D. Harari, N. Kanwisher, J. Tenenbaum, S. Ullman (2016). Measuring and modeling the perception of natural and unconstrained gaze in humans and machines. CBMM Memo No. 059, arXiv:1611.09819 [q-bio.NC]. (Abstract, Paper)
G. Ben-Yosef, L. Assif, D. Harari, E. Fetaya, S. Ullman (2014). Object interpretation: extending and validating object recognition. The Annual Meeting of the Vision Sciences Society. Journal of Vision (14):1289. (Abstract, Poster)
G.Tao, D. Harari, J. Tenenbaum, S. Ullman (2014). When Computer Vision Gazes at Cognition. CBMM Memo No. 025, arXiv:1412.2672 [cs.AI]. (Abstract, Paper)
D. Harari (2012). Using Motion and Internal Supervision in Object Recognition. PhD dissertation, Weizmann Institute of Science. (Thesis)
Patent Grants
S. Ullman, D. Harari, L. Assif, I. Koifman (2019). Multi-layer viewing system and method. Patent by Weizmann Institute of Science (Yeda Research and Development Ltd.). WO2018IL51143 (US11368670B2, EP3701357B1). (US Patent, EP Patent, Online@Espacenet, Online@Patentscope)
N. Kiryati, T. Riklin-Raviv, Y. Ivanchenko, S. Rochel, I. Dvir, D. Harari (2008). Apparatus and methods for the detection of abnormal motion in a video stream. Patent by Tel-Aviv University (Ramot) and Nice Systems Ltd. EP1631073 (US20060045185). (Online, Patent)
