In set-based face recognition, we aim to compute the most discriminative...
Absolute camera pose regressors estimate the position and orientation of...
This work presents an unsupervised and semi-automatic image segmentation...
In this work, we study face verification in datasets where images of the...
We propose a novel formulation of deep networks that do not use dot-prod...
Relative pose regressors (RPRs) localize a camera by estimating its rela...
The estimation of large and extreme image rotation plays a key role in
m...
In this study, we propose the use of attention hypernetworks in camera p...
We present a deep learning approach for learning the joint semantic
embe...
Absolute pose regressor (APR) networks are trained to estimate the pose ...
We present Face Swapping GAN (FSGAN) for face swapping and reenactment.
...
Deep learning-based models have been shown to improve the accuracy of
fi...
Camera pose regression methods apply a single forward pass to the query ...
Absolute camera pose regressors estimate the position and orientation of...
We propose an attention-based approach for multimodal image patch matchi...
In this work we propose a novel deep-learning approach for age estimatio...
In this work, we propose a deep learning-based approach for kin verifica...
We propose a method for detecting face swapping and other identity
manip...
We present Face Swapping GAN (FSGAN) for face swapping and reenactment.
...
In this work we propose an OCR scheme for manuscripts printed in Rashi f...
In this work we propose a novel Convolutional Neural Network (CNN)
archi...
One of the unsolved challenges in the field of biometrics and face
recog...
Facial landmark point localization is a typical problem in computer visi...
We present a method for improving a Non Local Means operator by computin...