| Deep face recognition: A survey I Masi, Y Wu, T Hassner, P Natarajan SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2018 | 1860* | 2018 |
| Face recognition in unconstrained videos with matched background similarity L Wolf, T Hassner, I Maoz Computer Vision and Pattern Recognition (CVPR), 529-534, 2011 | 1847 | 2011 |
| Age and Gender Classification using Convolutional Neural Networks G Levi, T Hassner Computer Vision and Pattern Recognition Workshops (CVPRw), 2015 | 1574 | 2015 |
| Age and Gender Estimation of Unfiltered Faces E Eidinger, R Enbar, T Hassner Transactions on Information Forensics and Security (TIFS) 9 (12), 2170 - 2179, 2014 | 995 | 2014 |
| Effective Face Frontalization in Unconstrained Images T Hassner, S Harel, E Paz, R Enbar Computer Vision and Pattern Recognition (CVPR), 2015 | 804 | 2015 |
| FSGAN: Subject Agnostic Face Swapping and Reenactment Y Nirkin, Y Keller, T Hassner International Conference on Computer Vision (ICCV), 2019 | 764 | 2019 |
| Violent Flows: Real-Time Detection of Violent Crowd Behavior T Hassner, Y Itcher, O Kliper-Gross Computer Vision and Pattern Recognition Workshops (CVPRw), 2012 | 703 | 2012 |
| Descriptor based methods in the wild L Wolf, T Hassner, Y Taigman European Conference on Computer Vision Workshops (ECCVw), 2008 | 693 | 2008 |
| Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network AT Tran, T Hassner, I Masi, G Medioni Computer Vision and Pattern Recognition (CVPR), 2017 | 602* | 2017 |
| Do We Really Need to Collect Millions of Faces for Effective Face Recognition? I Masi*, AT Tran*, T Hassner*, JT Leksut, G Medioni European Conference on Computer Vision Workshops (ECCV), 2016 | 454 | 2016 |
| Do we really need to collect millions of faces for effective face recognition I Masi*, T Trán*, Anh Tuán, Hassner*, JT Leksut, Medioni, Gérard European Conference on Computer Vision, 579-596, 2016 | 447 | 2016 |
| Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns G Levi, T Hassner International Conference on Multimodal Interaction (ICMI), 503-510, 2015 | 430 | 2015 |
| Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics L Wolf, T Hassner, Y Taigman Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 33 (10 …, 2011 | 424 | 2011 |
| Similarity scores based on background samples L Wolf, T Hassner, Y Taigman The Asian Conference on Computer Vision (ACCV), 88-97, 2009 | 364 | 2009 |
| On face segmentation, face swapping, and face perception Y Nirkin, I Masi, AT Tuan, T Hassner, G Medioni International Conference on Automatic Face and Gesture Recognition (FG), 98-105, 2018 | 354 | 2018 |
| DeepFake Detection Based on the Discrepancy Between the Face and its Context Y Nirkin, L Wolf, Y Keller, T Hassner Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 | 262* | 2021 |
| HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation Y Nirkin, L Wolf, T Hassner Computer Vision and Pattern Recognition (CVPR), 2021 | 260 | 2021 |
| Precise Detection in Densely Packed Scenes E Goldman, R Herzig, A Eisenschtat, J Goldberger, T Hassner Computer Vision and Pattern Recognition (CVPR), 2019 | 254 | 2019 |
| Motion Interchange Patterns for Action Recognition in Unconstrained Videos O Kliper-Gross, Y Gurovich, T Hassner, L Wolf European Conference on Computer Vision (ECCV), 2012 | 254 | 2012 |
| Facial landmark detection with tweaked convolutional neural networks Y Wu*, T Hassner*, KG Kim, G Medioni, P Natarajan IEEE transactions on pattern analysis and machine intelligence 40 (12), 3067 …, 2018 | 246 | 2018 |
Lior WolfThe School of Computer Science at Tel Aviv University在 cs.tau.ac.il 的电子邮件经过验证