Egocentric vision (aka first-person vision–FPV) applications have thrived over the past few
years, thanks to the availability of affordable wearable cameras and large annotated …

We propose a framework for early action recognition and anticipation by correlating past
features with the future using three novel similarity measures called Jaccard vector similarity …

Electroencephalogram (EEG) has been widely used in neurological disease detection, ie,
major depressive disorder (MDD). Recently, some deep EEG-based MDD detection …

In egocentric videos, actions occur in quick succession. We capitalise on the action's
temporal context and propose a method that learns to attend to surrounding actions in order …

First person action recognition is becoming an increasingly researched area thanks to the
rising popularity of wearable cameras. This is bringing to light cross-domain issues that are …

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. To facilitate our …

Future activity anticipation is a challenging problem in egocentric vision. As a standard
future activity anticipation paradigm, recursive sequence prediction suffers from 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 …

Egocentric videos can bring a lot of information about how humans perceive the world and
interact with the environment, which can be beneficial for the analysis of human behaviour …

It is well known that human gaze carries significant information about visual attention.
However, there are three main difficulties in incorporating the gaze data in an attention …