In the everyday IoT ecosystem, many devices and systems are interconnected in an
intelligent living environment to create a comfortable and efficient living space. In this …

Generative Artificial Intelligence (AI) has rapidly advanced the field of computer vision by
enabling machines to create and interpret visual data with unprecedented sophistication …

Human Pose Estimation (HPE) is a computer vision application that utilizes deep learning
techniques to precisely locate Key Joint Points (KJPs), enabling the accurate description of a …

Human motion video generation has garnered significant research interest due to its broad
applications, enabling innovations such as photorealistic singing heads or dynamic avatars …

Accurate tracking in thermal images is critical for applications such as surveillance,
authentication, and healthcare diagnostics, which rely on reliable face and facial keypoint …

The considerable progress in deep learning provides a possible solution for pose estimation
of astronauts wearing spacesuits from EVA recordings without special sensors. However …

We present PERSE, a method for building an animatable personalized generative avatar
from a reference portrait. Our avatar model enables facial attribute editing in a continuous …

Virtual try-on has emerged as a pivotal task at the intersection of computer vision and
fashion, aimed at digitally simulating how clothing items fit on the human body. Despite …

In this paper, we present WonderHuman to reconstruct dynamic human avatars from a
monocular video for high-fidelity novel view synthesis. Previous dynamic human avatar …

Accurate lower-limb joint kinematic estimation is critical for applications such as patient
monitoring, rehabilitation, and exoskeleton control. While previous studies have employed …