Human pose estimation aims to locate the human body parts and build human body
representation (eg, body skeleton) from input data such as images and videos. It has drawn …

Inferring human pose from a monocular RGB image remains an interesting field of research
in computer vision. It serves as a fundamental key for many real-world applications …

The advances in monocular 3D human pose estimation are dominated by supervised
techniques that require large-scale 2D/3D pose annotations. Such methods often behave …

Animals move in three dimensions (3D). Thus, 3D measurement is necessary to report the
true kinematics of animal movement. Existing 3D measurement techniques draw on …

Telehealth has the potential to offset the high demand for help during public health
emergencies, such as the COVID-19 pandemic. Remote Photoplethysmography (rPPG)-the …

Recently, human pose estimation has attracted more and more attention due to its
importance in many real applications. Although many efforts have been put on extracting 2D …

Image-based multi-person reconstruction in wide-field large scenes is critical for crowd
analysis and security alert. However, existing methods cannot deal with large scenes …

We consider the problem of complementary fashion prediction. Existing approaches focus
on learning an embedding space where fashion items from different categories that are …

Human pose analysis has garnered significant attention within both the research community
and practical applications, owing to its expanding array of uses, including gaming, video …

Training state-of-the-art models for human body pose and shape recovery from images or
videos requires datasets with corresponding annotations that are really hard and expensive …