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Tal Hassner
Tal Hassner
Weir AI
Adresă de e-mail confirmată pe openu.ac.il - Pagina de pornire
Titlu
Citat de
Citat de
Anul
Deep face recognition: A survey
I Masi, Y Wu, T Hassner, P Natarajan
SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2018
1884*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
18442011
Age and Gender Classification using Convolutional Neural Networks
G Levi, T Hassner
Computer Vision and Pattern Recognition Workshops (CVPRw), 2015
15702015
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
9902014
Effective Face Frontalization in Unconstrained Images
T Hassner, S Harel, E Paz, R Enbar
Computer Vision and Pattern Recognition (CVPR), 2015
8122015
FSGAN: Subject Agnostic Face Swapping and Reenactment
Y Nirkin, Y Keller, T Hassner
International Conference on Computer Vision (ICCV), 2019
7752019
Violent Flows: Real-Time Detection of Violent Crowd Behavior
T Hassner, Y Itcher, O Kliper-Gross
Computer Vision and Pattern Recognition Workshops (CVPRw), 2012
7072012
Descriptor based methods in the wild
L Wolf, T Hassner, Y Taigman
European Conference on Computer Vision Workshops (ECCVw), 2008
6902008
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
603*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
4532016
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
4282016
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
4282011
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
4262015
Similarity scores based on background samples
L Wolf, T Hassner, Y Taigman
The Asian Conference on Computer Vision (ACCV), 88-97, 2009
3702009
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
3612018
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
270*2021
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation
Y Nirkin, L Wolf, T Hassner
Computer Vision and Pattern Recognition (CVPR), 2021
2632021
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
2562012
Precise Detection in Densely Packed Scenes
E Goldman, R Herzig, A Eisenschtat, J Goldberger, T Hassner
Computer Vision and Pattern Recognition (CVPR), 2019
2552019
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
2492020
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