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Deep learning-based face super-resolution: A survey
Face super-resolution (FSR), also known as face hallucination, which is aimed at enhancing
the resolution of low-resolution (LR) face images to generate high-resolution face images, is …
the resolution of low-resolution (LR) face images to generate high-resolution face images, is …
The elements of end-to-end deep face recognition: A survey of recent advances
Face recognition (FR) is one of the most popular and long-standing topics in computer
vision. With the recent development of deep learning techniques and large-scale datasets …
vision. With the recent development of deep learning techniques and large-scale datasets …
Ganimation: Anatomically-aware facial animation from a single image
Abstract Recent advances in Generative Adversarial Networks (GANs) have shown
impressive results for task of facial expression synthesis. The most successful architecture is …
impressive results for task of facial expression synthesis. The most successful architecture is …
Look at boundary: A boundary-aware face alignment algorithm
We present a novel boundary-aware face alignment algorithm by utilising boundary lines as
the geometric structure of a human face to help facial landmark localisation. Unlike the …
the geometric structure of a human face to help facial landmark localisation. Unlike the …
Openface: an open source facial behavior analysis toolkit
Over the past few years, there has been an increased interest in automatic facial behavior
analysis and understanding. We present OpenFace-an open source tool intended for …
analysis and understanding. We present OpenFace-an open source tool intended for …
Deep alignment network: A convolutional neural network for robust face alignment
In this paper, we propose Deep Alignment Network (DAN), a robust face alignment method
based on a deep neural network architecture. DAN consists of multiple stages, where each …
based on a deep neural network architecture. DAN consists of multiple stages, where each …
Convolutional experts constrained local model for 3d facial landmark detection
Abstract Constrained Local Models (CLMs) are a well-established family of methods for
facial landmark detection. CE-CLM, the newest member of CLMs, brings CLMs back to state …
facial landmark detection. CE-CLM, the newest member of CLMs, brings CLMs back to state …
Stacked hourglass network for robust facial landmark localisation
With the increasing number of public available training data for face alignment, the
regression-based methods attracted much attention and have become the dominant …
regression-based methods attracted much attention and have become the dominant …
Luvli face alignment: Estimating landmarks' location, uncertainty, and visibility likelihood
Modern face alignment methods have become quite accurate at predicting the locations of
facial landmarks, but they do not typically estimate the uncertainty of their predicted locations …
facial landmarks, but they do not typically estimate the uncertainty of their predicted locations …