The locations of the fiducial facial landmark points around facial components and facial
contour capture the rigid and non-rigid facial deformations due to head movements and …

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 …

Accurate whole-body multi-person pose estimation and tracking is an important yet
challenging topic in computer vision. To capture the subtle actions of humans for complex …

We introduce GaussianAvatars a new method to create photorealistic head avatars that are
fully controllable in terms of expression pose and viewpoint. The core idea is a dynamic 3D …

Recent studies in deepfake detection have yielded promising results when the training and
testing face forgeries are from the same dataset. However, the problem remains challenging …

We demonstrate that it is possible to perform face-related computer vision in the wild using
synthetic data alone. The community has long enjoyed the benefits of synthesizing training …

Current face forgery detection methods achieve high accuracy under the within-database
scenario where training and testing forgeries are synthesized by the same algorithm …

How to learn a universal facial representation that boosts all face analysis tasks This paper
takes one step toward this goal. In this paper, we study the transfer performance of pre …

Wearing face masks appears as a solution for limiting the spread of COVID-19. In this
context, efficient recognition systems are expected for checking that people faces are …

Landmarks often play a key role in face analysis, but many aspects of identity or expression
cannot be represented by sparse landmarks alone. Thus, in order to reconstruct faces more …