Human parsing aims to partition humans in image or video into multiple pixel-level semantic
parts. In the last decade, it has gained significantly increased interest in the computer vision …

Semantic segmentation of oblique unmanned aerial vehicle (UAV) images serves as a
foundation for many modern urban applications, such as road scene monitoring and …

Human parsing has attracted considerable research interest due to its broad potential
applications in the computer vision community. In this paper, we explore several useful …

Human parsing and pose estimation are crucial for the understanding of human behaviors.
Since these tasks are closely related, employing one unified model to perform two tasks …

How to estimate the quality of the network output is an important issue, and currently there is
no effective solution in the field of human parsing. To solve this problem, this work proposes …

Multi-object multi-part scene parsing is a challenging task which requires detecting multiple
object classes in a scene and segmenting the semantic parts within each object. In this …

Dear Editor, This letter is concerned with human parsing based on part-wise semantic
prediction. Human body can be regarded as a whole structure composed of different …

In this paper, we propose a new method to super-resolve low resolution human body
images by learning efficient multi-scale features and exploiting useful human body prior …

Recent research in the analysis of human images, such as human parsing and pose
estimation, usually requires input images to have a sufficiently high resolution. However …

Human parsing and pose estimation are both closely related to the human body structure,
and it is advantageous to deal with both together in order to assist each other's learning …