We offer a study that connects robust discriminative classifiers trained...
Differences in forgery attributes of images generated in CNN-synthesized...
We offer a method for one-shot image synthesis that allows controlling
m...
In this technical report, we evaluate the adversarial robustness of a ve...
The current spike of hyper-realistic faces artificially generated using
...
Face segmentation is the task of densely labeling pixels on the face
acc...
Face occlusions, covering either the majority or discriminative parts of...
The spread of misinformation through synthetically generated yet realist...
Spread of misinformation has become a significant problem, raising the
i...
For enterprise, personal and societal applications, there is now an
incr...
Image repurposing is a commonly used method for spreading misinformation...
We describe a deep learning based method for estimating 3D facial expres...
Existing single view, 3D face reconstruction methods can produce beautif...
We show how a simple convolutional neural network (CNN) can be trained t...
The 3D shapes of faces are well known to be discriminative. Yet despite ...
In this paper we introduce a method to overcome one of the main challeng...
We propose a novel approach to template based face recognition. Our dual...
We introduce our method and system for face recognition using multiple
p...
Face recognition capabilities have recently made extraordinary leaps. Th...
Pan-tilt-zoom (PTZ) cameras are powerful to support object identificatio...