Face recognition in unconstrained videos with matched background similarity L Wolf, T Hassner, I Maoz Computer Vision and Pattern Recognition (CVPR), 529-534, 2011 | 1755 | 2011 |
Deep face recognition: A survey I Masi, Y Wu, T Hassner, P Natarajan SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2018 | 1601* | 2018 |
Age and Gender Classification using Convolutional Neural Networks G Levi, T Hassner Computer Vision and Pattern Recognition Workshops (CVPRw), 2015 | 1495 | 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 | 942 | 2014 |
Effective Face Frontalization in Unconstrained Images T Hassner, S Harel, E Paz, R Enbar Computer Vision and Pattern Recognition (CVPR), 2015 | 773 | 2015 |
Descriptor based methods in the wild L Wolf, T Hassner, Y Taigman European Conference on Computer Vision Workshops (ECCVw), 2008 | 686 | 2008 |
Violent Flows: Real-Time Detection of Violent Crowd Behavior T Hassner, Y Itcher, O Kliper-Gross Computer Vision and Pattern Recognition Workshops (CVPRw), 2012 | 648 | 2012 |
FSGAN: Subject Agnostic Face Swapping and Reenactment Y Nirkin, Y Keller, T Hassner International Conference on Computer Vision (ICCV), 2019 | 620 | 2019 |
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 | 571* | 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 | 441 | 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 | 434 | 2016 |
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 | 421 | 2011 |
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 | 409 | 2015 |
Similarity scores based on background samples L Wolf, T Hassner, Y Taigman The Asian Conference on Computer Vision (ACCV), 88-97, 2009 | 366 | 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 | 320 | 2018 |
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 | 253 | 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 | 231 | 2018 |
Multiple one-shots for utilizing class label information Y Taigman, L Wolf, T Hassner British Machine Vision Conference (BMVC), 2009 | 226 | 2009 |
Precise Detection in Densely Packed Scenes E Goldman, R Herzig, A Eisenschtat, J Goldberger, T Hassner Computer Vision and Pattern Recognition (CVPR), 2019 | 216 | 2019 |
LATCH: Learned Arrangements of Three Patch Codes G Levi, T Hassner Winter Conference on Applications of Computer Vision (WACV), 2016 | 210 | 2016 |