Abstract We introduce (HPS) Human POSEitioning System, a method to recover the full 3D
pose of a human registered with a 3D scan of the surrounding environment using wearable …

Internet of Things (IoT) time-series analysis has found numerous applications in a wide
variety of areas, ranging from health informatics to network security. Nevertheless, the …

The egocentric action recognition EAR field has recently increased its popularity due to the
affordable and lightweight wearable cameras available nowadays such as GoPro and …

© 2018 International Joint Conferences on Artificial Intelligence. All right reserved. We aim to
significantly reduce the computational cost for classification of temporally untrimmed videos …

We focus on unsupervised representation learning for skeleton based action recognition.
Existing unsupervised approaches usually learn action representations by motion prediction …

Temporal segmentation of long videos is an important problem, that has largely been
tackled through supervised learning, often requiring large amounts of annotated training …

Multi-view action clustering leverages the complementary information from different camera
views to enhance the clustering performance. Although existing approaches have achieved …

As a common technology in social network, clustering has attracted lots of research interest
due to its high performance, and many clustering methods have been presented. The most …

Sports video data is recorded for nearly every major tournament but remains archived and
inaccessible to large scale data mining and analytics. It can only be viewed sequentially or …

Advances in visual perceptual tasks have been mainly driven by the amount, and types, of
annotations of large-scale datasets. Researchers have focused on fully-supervised settings …