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 …

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 …

Hands are often severely occluded by objects, which makes 3D hand mesh estimation
challenging. Previous works often have disregarded information at occluded regions …

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 …

Most facial landmark detection methods predict landmarks by map** the input facial
appearance features to landmark heatmaps and have achieved promising results. However …

Real-time 3D hand mesh reconstruction is challenging, especially when the hand is holding
some object. Beyond the previous methods, we design H2ONet to fully exploit non-occluded …

Recently, heatmap regression models have become popular due to their superior
performance in locating facial landmarks. However, three major problems still exist among …

Heatmap regression methods have dominated face alignment area in recent years while
they ignore the inherent relation between different landmarks. In this paper, we propose a …

Image landmark detection aims to automatically identify the locations of predefined fiducial
points. Despite recent success in this field, higher-ordered structural modeling to capture …

Convolutional neural networks (CNNs) have achieved remarkable performance in driver
drowsiness detection based on the extraction of deep features of drivers' faces. However …