Temporal action segmentation (TAS) in videos aims at densely identifying video frames in
minutes-long videos with multiple action classes. As a long-range video understanding task …

Recent advances in data analytics and computer-aided diagnostics stimulate the vision of
patient-centric precision healthcare, where treatment plans are customized based on the …

Over the years, a large number of methods have been proposed to analyze human pose
and motion information from images, videos, and recently from depth data. Most methods …

Recent years have seen enormous advances in computerization and digitization as well as
a corresponding growth in the use of information technology allowing users to access and …

Much of the existing work on action recognition combines simple features with complex
classifiers or models to represent an action. Parameters of such models usually do not have …

We present video co-summarization, a novel perspective to video summarization that
exploits visual co-occurrence across multiple videos. Motivated by the observation that …

Temporal segmentation of human motion into plausible motion primitives is central to
understanding and building computational models of human motion. Several issues …

We present a real-time gesture classification system for skeletal wireframe motion. Its key
components include an angular representation of the skeleton designed for recognition …

The ability to instantly detect risky behavior in video surveillance systems is a critical issue in
a smart surveillance system. In this paper, a unified framework based on a deep …

Finding an informative subset of a large collection of data points or models is at the center of
many problems in computer vision, recommender systems, bio/health informatics as well as …