| Deepface: Closing the gap to human-level performance in face verification Y Taigman, M Yang, MA Ranzato, L Wolf Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 9251 | 2014 |
| Robust object recognition with cortex-like mechanisms T Serre, L Wolf, S Bileschi, M Riesenhuber, T Poggio IEEE transactions on pattern analysis and machine intelligence 29 (3), 411-426, 2007 | 2221 | 2007 |
| Face recognition in unconstrained videos with matched background similarity L Wolf, T Hassner, I Maoz CVPR 2011, 529-534, 2011 | 1928 | 2011 |
| Unsupervised cross-domain image generation Y Taigman, A Polyak, L Wolf arXiv preprint arXiv:1611.02200, 2016 | 1326 | 2016 |
| Object recognition with features inspired by visual cortex T Serre, L Wolf, T Poggio 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 1301 | 2005 |
| Transformer interpretability beyond attention visualization H Chefer, S Gur, L Wolf Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 1281 | 2021 |
| System, method and a computer readable medium for providing an output image L Wolf, M Guttman, D Cohen-or US Patent 8,718,333, 2014 | 1031 | 2014 |
| A biologically inspired system for action recognition H Jhuang, T Serre, L Wolf, T Poggio 2007 IEEE 11th international conference on computer vision, 1-8, 2007 | 1003 | 2007 |
| Using the output embedding to improve language models O Press, L Wolf Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 888 | 2017 |
| Plasmonic nanostructure design and characterization via deep learning I Malkiel, M Mrejen, A Nagler, U Arieli, L Wolf, H Suchowski Light: Science & Applications 7 (1), 60, 2018 | 771 | 2018 |
| Attend-and-excite: Attention-based semantic guidance for text-to-image diffusion models H Chefer, Y Alaluf, Y Vinker, L Wolf, D Cohen-Or ACM transactions on Graphics (TOG) 42 (4), 1-10, 2023 | 750 | 2023 |
| Descriptor based methods in the wild L Wolf, T Hassner, Y Taigman Workshop on faces in'real-life'images: Detection, alignment, and recognition, 2008 | 690 | 2008 |
| Non-homogeneous content-driven video-retargeting L Wolf, M Guttmann, D Cohen-Or 2007 IEEE 11th international conference on computer vision, 1-6, 2007 | 664 | 2007 |
| Generic attention-model explainability for interpreting bi-modal and encoder-decoder transformers H Chefer, S Gur, L Wolf Proceedings of the IEEE/CVF international conference on computer vision, 397-406, 2021 | 531 | 2021 |
| Segdiff: Image segmentation with diffusion probabilistic models T Amit, T Shaharbany, E Nachmani, L Wolf arXiv preprint arXiv:2112.00390, 2021 | 526 | 2021 |
| Chest pathology detection using deep learning with non-medical training Y Bar, I Diamant, L Wolf, S Lieberman, E Konen, H Greenspan 2015 IEEE 12th international symposium on biomedical imaging (ISBI), 294-297, 2015 | 522 | 2015 |
| Local trinary patterns for human action recognition L Yeffet, L Wolf 2009 IEEE 12th international conference on computer vision, 492-497, 2009 | 458 | 2009 |
| Deep learning with non-medical training used for chest pathology identification Y Bar, I Diamant, L Wolf, H Greenspan Medical Imaging 2015: Computer-Aided Diagnosis 9414, 215-221, 2015 | 446 | 2015 |
| Effective unconstrained face recognition by combining multiple descriptors and learned background statistics L Wolf, T Hassner, Y Taigman IEEE transactions on pattern analysis and machine intelligence 33 (10), 1978 …, 2010 | 441 | 2010 |
| Learning over sets using kernel principal angles L Wolf, A Shashua Journal of Machine Learning Research 4 (Oct), 913-931, 2003 | 408 | 2003 |
Yaniv TaigmanMetaVerified email at meta.com
