| Class-specific, top-down segmentation E Borenstein, S Ullman Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002 | 599 | 2002 |
| Apparatus and software system for and method of performing a visual-relevance-rank subsequent search L Delgo, E Sharon, A Brandt, E Borenstein, A Moshe US Patent 8,364,698, 2013 | 435 | 2013 |
| Combining top-down and bottom-up segmentation E Borenstein, E Sharon, S Ullman 2004 Conference on Computer Vision and Pattern Recognition Workshop, 46-46, 2004 | 415 | 2004 |
| Combined top-down/bottom-up segmentation E Borenstein, S Ullman IEEE Transactions on pattern analysis and machine intelligence 30 (12), 2109 …, 2008 | 258 | 2008 |
| Learning to segment E Borenstein, S Ullman Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004 | 207 | 2004 |
| Shape guided object segmentation E Borenstein, J Malik 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 143 | 2006 |
| Image based virtual try-on network from unpaired data A Neuberger, E Borenstein, B Hilleli, E Oks, S Alpert Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 100 | 2020 |
| Video identification and search E Sharon, E Borenstein, M Tek, A Brandt US Patent 8,719,884, 2014 | 80 | 2014 |
| Apparatus and software system for and method of performing a visual-relevance-rank subsequent search L Delgo, E Sharon, A Brandt, E Borenstein, A Moshe US Patent 8,364,660, 2013 | 64 | 2013 |
| Video visual and audio query E Sharon, A Moshe, P Srinivasan, M Tek, E Borenstein, A Brandt US Patent 9,508,011, 2016 | 48 | 2016 |
| Apparatus and software system for and method of performing a visual-relevance-rank subsequent search L Delgo, E Sharon, A Brandt, E Borenstein, A Moshe US Patent 9,031,974, 2015 | 27 | 2015 |
| Context, computation, and optimal roc performance in hierarchical models LB Chang, Y Jin, W Zhang, E Borenstein, S Geman International journal of computer vision 93 (2), 117-140, 2011 | 24 | 2011 |
| Automatic generation of videos via a segment list S Baker, E Borenstein, E Sharon, MN Tek US Patent App. 14/260,565, 2015 | 22 | 2015 |
| Computer Method and System for Detecting the Subject Matter of Online Communications L Tal, E Borenstein US Patent App. 14/024,774, 2014 | 13 | 2014 |
| Computer vision techniques for generating and comparing three-dimensional point clouds CP Bhole, H Arora, E Borenstein, E Cantu-Paz, ASK Dhua, AR Nair US Patent 9,875,546, 2018 | 8 | 2018 |
| Balancing specialization, generalization, and compression for detection and tracking D Kaufman, K Bibas, E Borenstein, M Chertok, T Hassner arXiv preprint arXiv:1909.11348, 2019 | 7 | 2019 |
| Maximum likelihood features for generative image models LB Chang, E Borenstein, W Zhang, S Geman | 7 | 2017 |
| Minimizing variations in camera height to estimate distance to objects E Borenstein, A Devadoss, Z Nehushtan US Patent 9,691,152, 2017 | 7 | 2017 |
| Minimizing variations in camera height to estimate distance to objects E Borenstein, A Devadoss, Z Nehushtan US Patent 10,037,614, 2018 | 5 | 2018 |
| Browsing videos via a segment list S Baker, E Borenstein, MN Tek, E Sharon US Patent 10,037,380, 2018 | 5 | 2018 |
Shimon UllmanProfessor of Computer Science Weizmann Institute of ScienceVerified email at weizmann.ac.il
