Articles with public access mandates - Tal HassnerLearn more
Available somewhere: 14
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
Mandates: US Department of Defense, US Office of the Director of National Intelligence
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
Mandates: US Department of Defense, US Office of the Director of National Intelligence
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
Mandates: European Commission
FacePoseNet: Making a Case for Landmark-Free Face Alignment
F Chang, AT Tran, T Hassner, I Masi, R Nevatia, G Medioni
International Conference on Computer Vision Workshops (ICCVw), 2017
Mandates: US Department of Defense, US Office of the Director of National Intelligence
Learning pose-aware models for pose-invariant face recognition in the wild
I Masi, FJ Chang, J Choi, S Harel, J Kim, K Kim, J Leksut, S Rawls, Y Wu, ...
IEEE transactions on pattern analysis and machine intelligence 41 (2), 379-393, 2018
Mandates: US Department of Defense, US Office of the Director of National Intelligence
Face-specific data augmentation for unconstrained face recognition
I Masi*, AT Trần*, T Hassner*, G Sahin, G Medioni
International Journal of Computer Vision 127 (6), 642-667, 2019
Mandates: US Department of Defense, US Office of the Director of National Intelligence
Deep, landmark-free FAME: Face alignment, modeling, and expression estimation
FJ Chang, AT Tran, T Hassner, I Masi, R Nevatia, G Medioni
International Journal of Computer Vision 127 (6), 930-956, 2019
Mandates: US Department of Defense, US Office of the Director of National Intelligence
Reverse engineering of generative models: Inferring model hyperparameters from generated images
V Asnani, X Yin, T Hassner, X Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Mandates: US Department of Defense
Rapid Synthesis of Massive Face Sets for Improved Face Recognition
I Masi, T Hassner, AT Tran, G Medioni
International Conference on Automatic Face and Gesture Recognition (FG), 2017
Mandates: US Department of Defense, US Office of the Director of National Intelligence
A whac-a-mole dilemma: Shortcuts come in multiples where mitigating one amplifies others
Z Li, I Evtimov, A Gordo, C Hazirbas, T Hassner, CC Ferrer, C Xu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Mandates: US National Science Foundation
Accurate 3D face reconstruction via prior constrained structure from motion
M Hernandez, T Hassner, J Choi, G Medioni
Computers & Graphics 66, 14-22, 2017
Mandates: US Department of Defense, US Office of the Director of National Intelligence
Wide Baseline Stereo Matching With Convex Bounded Distortion Constraints
M Galun, T Amir, T Hassner, R Basri, Y Lipman
International Conference on Computer Vision (ICCV), 2228-2236, 2015
Mandates: European Commission
Face segmentation, face swapping, and how they impact face recognition
Y Nirkin, I Masi, A Tuan Tran, T Hassner, G Medioni
Deep Learning-Based Face Analytics, 21-43, 2021
Mandates: US Department of Defense, US Office of the Director of National Intelligence
Simple Transferability Estimation for Regression Tasks
CN Nguyen, P Tran, LST Ho, V Dinh, AT Tran, T Hassner, CV Nguyen
Uncertainty in Artificial Intelligence, 1510-1521, 2023
Mandates: US National Science Foundation, Natural Sciences and Engineering Research …
Publication and funding information is determined automatically by a computer program