| Deep face recognition: A survey I Masi, Y Wu, T Hassner, P Natarajan SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2018 | 2164* | 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 | 1930 | 2011 |
| Age and Gender Classification using Convolutional Neural Networks G Levi, T Hassner Computer Vision and Pattern Recognition Workshops (CVPRw), 2015 | 1666 | 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 | 1062 | 2014 |
| FSGAN: Subject Agnostic Face Swapping and Reenactment Y Nirkin, Y Keller, T Hassner International Conference on Computer Vision (ICCV), 2019 | 961 | 2019 |
| Effective Face Frontalization in Unconstrained Images T Hassner, S Harel, E Paz, R Enbar Computer Vision and Pattern Recognition (CVPR), 2015 | 831 | 2015 |
| Violent Flows: Real-Time Detection of Violent Crowd Behavior T Hassner, Y Itcher, O Kliper-Gross Computer Vision and Pattern Recognition Workshops (CVPRw), 2012 | 782 | 2012 |
| Descriptor based methods in the wild L Wolf, T Hassner, Y Taigman European Conference on Computer Vision Workshops (ECCVw), 2008 | 696 | 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 | 635* | 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 | 478 | 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 | 471 | 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 | 445 | 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 | 441 | 2011 |
| 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 | 399* | 2021 |
| 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 | 398 | 2018 |
| Similarity scores based on background samples L Wolf, T Hassner, Y Taigman The Asian Conference on Computer Vision (ACCV), 88-97, 2009 | 369 | 2009 |
| HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation Y Nirkin, L Wolf, T Hassner Computer Vision and Pattern Recognition (CVPR), 2021 | 325 | 2021 |
| LEEP: A New Measure to Evaluate Transferability of Learned Representations CV Nguyen, T Hassner, C Archambeau, M Seeger International Conference on Machine Learning (ICML), 2020 | 307 | 2020 |
| Precise Detection in Densely Packed Scenes E Goldman, R Herzig, A Eisenschtat, J Goldberger, T Hassner Computer Vision and Pattern Recognition (CVPR), 2019 | 295 | 2019 |
| TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text A Singh, G Pang, M Toh, J Huang, W Galuba, T Hassner Computer Vision and Pattern Recognition (CVPR), 2021 | 279 | 2021 |
Lior WolfThe School of Computer Science at Tel Aviv UniversityVerified email at cs.tau.ac.il
