Human activity recognition is an important area of computer vision research. Its applications
include surveillance systems, patient monitoring systems, and a variety of systems that …

The past decade has witnessed a rapid proliferation of video cameras in all walks of life and
has resulted in a tremendous explosion of video content. Several applications such as …

Local space-time features capture local events in video and can be adapted to the size, the
frequency and the velocity of moving patterns. In this paper, we demonstrate how such …

Local image features or interest points provide compact and abstract representations of
patterns in an image. In this paper, we extend the notion of spatial interest points into the …

This paper proposes a simple self-supervised approach for learning a representation for
visual correspondence from raw video. We cast correspondence as prediction of links in a …

A common trend in object recognition is to detect and leverage the use of sparse, informative
feature points. The use of such features makes the problem more manageable while …

Appearance and motion are two important sources of information in video object
segmentation (VOS). Previous methods mainly focus on using simplex solutions, lowering …

Human action in video sequences can be seen as silhouettes of a moving torso and
protruding limbs undergoing articulated motion. We regard human actions as three …

Human action in video sequences can be seen as silhouettes of a moving torso and
protruding limbs undergoing articulated motion. We regard human actions as three …

We present a novel dataset and novel algorithms for the problem of detecting activities of
daily living (ADL) in firstperson camera views. We have collected a dataset of 1 million …