Conventional feature selection methods select the same feature subset for all classes, which
means that the selected features might work better for some classes than the others …

This paper proposes a new generative adversarial network for pose transfer, ie, transferring
the pose of a given person to a target pose. We design a progressive generator which …

Interactive segmentation pursues generating high-quality pixel-level predictions with a few
user-provided clicks, which is gaining attention for its convenience in segmentation data …

Great success of scene parsing (also known as, semantic segmentation) has been achieved
with the pipeline of fully convolutional networks (FCNs). Nevertheless, there are a lot of …

Interactive semantic segmentation pursues high-quality segmentation results at the cost of a
small number of user clicks. It is attracting more and more research attention for its …

In this work, we focus on Interactive Human Parsing (IHP), which aims to segment a human
image into multiple human body parts with guidance from users' interactions. This new task …

Human parsing is a fine-grained semantic segmentation task, which needs to understand
human semantic parts. Most existing methods model human parsing as a general semantic …

Interaction using bare hands is experiencing a growing interest in mobile-based Augmented
Reality (AR). Existing RGB-based works fail to provide a practical solution to identifying rich …