An integral part of video analysis and surveillance is temporal activity detection, which
means to simultaneously recognize and localize activities in long untrimmed videos …

We address the task of jointly determining what a person is doing and where they are
looking based on the analysis of video captured by a headworn camera. We propose a …

In this work, we consider the problem of robust gaze estimation in natural environments.
Large camera-to-subject distances and high variations in head pose and eye gaze angles …

Every moment counts in action recognition. A comprehensive understanding of human
activity in video requires labeling every frame according to the actions occurring, placing …

Action localization networks are often structured as a feature encoder sub-network and a
localization sub-network, where the feature encoder learns to transform an input video to …

The ability to analyze the actions which occur in a video is essential for automatic
understanding of sports. Action localization and recognition in videos are two main research …

Multi-person event recognition is a challenging task, often with many people active in the
scene but only a small subset contributing to an actual event. In this paper, we propose a …

One of the most widely used strategies for visual object detection is based on exhaustive
spatial hypothesis search. While methods like sliding windows have been successful and …

In this paper we target at generating generic action proposals in unconstrained videos. Each
action proposal corresponds to a temporal series of spatial bounding boxes, ie, a spatio …

With the proliferation of wearable cameras, the number of videos of users documenting their
personal lives using such devices is rapidly increasing. Since such videos may span hours …