| 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 | 8204 | 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 | 2142 | 2007 |
| Face recognition in unconstrained videos with matched background similarity L Wolf, T Hassner, I Maoz CVPR 2011, 529-534, 2011 | 1759 | 2011 |
| 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 | 1261 | 2005 |
| Unsupervised cross-domain image generation Y Taigman, A Polyak, L Wolf arXiv preprint arXiv:1611.02200, 2016 | 1205 | 2016 |
| 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 | 984 | 2007 |
| 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 | 817 | 2014 |
| Using the output embedding to improve language models O Press, L Wolf arXiv preprint arXiv:1608.05859, 2016 | 749 | 2016 |
| Descriptor based methods in the wild L Wolf, T Hassner, Y Taigman Workshop on faces in'real-life'images: Detection, alignment, and recognition, 2008 | 680 | 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 | 652 | 2007 |
| Transformer interpretability beyond attention visualization H Chefer, S Gur, L Wolf Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 642 | 2021 |
| 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 | 566 | 2018 |
| 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 | 481 | 2015 |
| Local trinary patterns for human action recognition L Yeffet, L Wolf 2009 IEEE 12th international conference on computer vision, 492-497, 2009 | 450 | 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 | 419 | 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 | 419 | 2010 |
| Learning over sets using kernel principal angles L Wolf, A Shashua Journal of Machine Learning Research 4 (Oct), 913-931, 2003 | 400 | 2003 |
| Optimizing photo composition L Liu, R Chen, L Wolf, D Cohen‐Or Computer graphics forum 29 (2), 469-478, 2010 | 386 | 2010 |
| Learning to count with cnn boosting E Walach, L Wolf Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 372 | 2016 |
| Similarity scores based on background samples L Wolf, T Hassner, Y Taigman Computer Vision–ACCV 2009: 9th Asian Conference on Computer Vision, Xi’an …, 2010 | 363 | 2010 |
Yaniv TaigmanFacebook AI Research在 fb.com 的电子邮件经过验证
