Human gaze provides valuable information on human focus and intentions, making it a
crucial area of research. Recently, deep learning has revolutionized appearance-based …

We present PyMAF-X, a regression-based approach to recovering a parametric full-body
model from a single image. This task is very challenging since minor parametric deviation …

To understand how people look, interact, or perform tasks, we need to quickly and
accurately capture their 3D body, face, and hands together from an RGB image. Most …

Facial expression recognition (FER) is an important task in computer vision, having practical
applications in areas such as human-computer interaction, education, healthcare, and …

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

Accurate facial landmarks are essential prerequisites for many tasks related to human faces.
In this paper, an accurate facial landmark detector is proposed based on cascaded …

Neural networks for facial landmark detection are notoriously limited to a fixed set of
landmarks in a dedicated layout, which must be specified at training time. Dedicated …

Facial landmark localization and expression recognition are two important and highly
relevant topics in facial analysis. However, few works focus on using the complementary …

Many recent developments in facial landmark detection have been driven by stacking model
parameters or augmenting annotations. However, three subsequent challenges remain …

Supervised keypoint localization methods rely on large manually labeled image datasets,
where objects can deform, articulate, or occlude. However, creating such large keypoint …