Recently, a lot of attention has been focused on the incorporation of 3D data into face
analysis and its applications. Despite providing a more accurate representation of the face …

Abstract Unsupervised Domain Adaptation (UDA) transfers predictive models from a fully-
labeled source domain to an unlabeled target domain. In some applications, however, it is …

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 …

Recent learning-based approaches, in which models are trained by single-view images
have shown promising results for monocular 3D face reconstruction, but they suffer from the …

Abstract The performance of Multi-Source Unsupervised Domain Adaptation depends
significantly on the effectiveness of transfer from labeled source domain samples. In this …

3D multi-object tracking (MOT) is an essential component technology for many real-time
applications such as autonomous driving or assistive robotics. However, recent works for 3D …

We present a new pose transfer method for synthesizing a human animation from a single
image of a person controlled by a sequence of body poses. Existing pose transfer methods …

Human hands play a central role in interacting with other people and objects. For realistic
replication of such hand motions, high-fidelity hand meshes have to be reconstructed. In this …

This paper presents a new large multiview dataset called HUMBI for human body
expressions with natural clothing. The goal of HUMBI is to facilitate modeling view-specific …

In this paper, we propose a novel framework, Tracking-free Relightable Avatar (TRAvatar),
for capturing and reconstructing high-fidelity 3D avatars. Compared to previous methods …