Deep face recognition: A survey
Deep learning applies multiple processing layers to learn representations of data with
multiple levels of feature extraction. This emerging technique has reshaped the research …
multiple levels of feature extraction. This emerging technique has reshaped the research …
A comprehensive survey on 3D face recognition methods
Abstract 3D face recognition (3DFR) has emerged as an effective means of characterizing
facial identity over the past several decades. Depending on the types of techniques used in …
facial identity over the past several decades. Depending on the types of techniques used in …
Learning an animatable detailed 3D face model from in-the-wild images
While current monocular 3D face reconstruction methods can recover fine geometric details,
they suffer several limitations. Some methods produce faces that cannot be realistically …
they suffer several limitations. Some methods produce faces that cannot be realistically …
Emoca: Emotion driven monocular face capture and animation
As 3D facial avatars become more widely used for communication, it is critical that they
faithfully convey emotion. Unfortunately, the best recent methods that regress parametric 3D …
faithfully convey emotion. Unfortunately, the best recent methods that regress parametric 3D …
Towards fast, accurate and stable 3d dense face alignment
Existing methods of 3D dthus limiting the scope of their practical applications. In this paper,
we propose a novel regression framework which makes a balance among speed, accuracy …
we propose a novel regression framework which makes a balance among speed, accuracy …
Frankmocap: A monocular 3d whole-body pose estimation system via regression and integration
Most existing monocular 3D pose estimation approaches only focus on a single body part,
neglecting the fact that the essential nuance of human motion is conveyed through a concert …
neglecting the fact that the essential nuance of human motion is conveyed through a concert …
Masked face recognition dataset and application
During COVID-19 coronavirus epidemic, almost everyone wears a mask to prevent the
spread of virus. It raises a problem that the traditional face recognition model basically fails …
spread of virus. It raises a problem that the traditional face recognition model basically fails …
Retinaface: Single-shot multi-level face localisation in the wild
Though tremendous strides have been made in uncontrolled face detection, accurate and
efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open …
efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open …
Towards metrical reconstruction of human faces
Face reconstruction and tracking is a building block of numerous applications in AR/VR,
human-machine interaction, as well as medical applications. Most of these applications rely …
human-machine interaction, as well as medical applications. Most of these applications rely …
[كتاب][B] Synthetic data for deep learning
SI Nikolenko - 2021 - Springer
You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …
anymore? Anyway, you are reading this, and it means that I have managed to release one of …