[PDF][PDF] Recurrent convolutional strategies for face manipulation detection in videos
The spread of misinformation through synthetically generated yet realistic images and
videos has become a significant problem, calling for robust manipulation detection methods …
videos has become a significant problem, calling for robust manipulation detection methods …
A review of facial landmark extraction in 2D images and videos using deep learning
M Bodini - Big Data and Cognitive Computing, 2019 - mdpi.com
The task of facial landmark extraction is fundamental in several applications which involve
facial analysis, such as facial expression analysis, identity and face recognition, facial …
facial analysis, such as facial expression analysis, identity and face recognition, facial …
Robust facial landmark detection via occlusion-adaptive deep networks
In this paper, we present a simple and effective framework called Occlusion-adaptive Deep
Networks (ODN) with the purpose of solving the occlusion problem for facial landmark …
Networks (ODN) with the purpose of solving the occlusion problem for facial landmark …
Deepfakes detection methods: A literature survey
MC Weerawardana… - 2021 10th International …, 2021 - ieeexplore.ieee.org
Recently, a great amount of concern has been attracted to the phenomena of DeepFake,
which has been created for capturing and reenacting faces in a video and swap a face with …
which has been created for capturing and reenacting faces in a video and swap a face with …
Recurrence without recurrence: Stable video landmark detection with deep equilibrium models
Cascaded computation, whereby predictions are recurrently refined over several stages, has
been a persistent theme throughout the development of landmark detection models. In this …
been a persistent theme throughout the development of landmark detection models. In this …
Joint multi-view face alignment in the wild
The de facto algorithm for facial landmark estimation involves running a face detector with a
subsequent deformable model fitting on the bounding box. This encompasses two basic …
subsequent deformable model fitting on the bounding box. This encompasses two basic …
Cascade multi-view hourglass model for robust 3d face alignment
Estimating the 3D facial landmarks from a 2D image remains a challenging problem. Even
though state-of-the-art 2D alignment methods are able to predict accurate landmarks for …
though state-of-the-art 2D alignment methods are able to predict accurate landmarks for …
Combining data-driven and model-driven methods for robust facial landmark detection
Facial landmark detection is an important yet challenging task for real-world computer vision
applications. This paper proposes an effective and robust approach for facial landmark …
applications. This paper proposes an effective and robust approach for facial landmark …
Recurrent 3d-2d dual learning for large-pose facial landmark detection
Despite remarkable progress of face analysis techniques, detecting landmarks on large-
pose faces is still difficult due to self-occlusion, subtle landmark difference and incomplete …
pose faces is still difficult due to self-occlusion, subtle landmark difference and incomplete …
Deep learning-based facial landmarks localization using compound scaling
Facial landmarks are crucial information needed in numerous facial analysis applications
which can help to resolve difficult computer vision-related problems. The localization of …
which can help to resolve difficult computer vision-related problems. The localization of …