What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …

Event cameras are novel bio-inspired sensors, which asynchronously capture pixel-level
intensity changes in the form of" events". Due to their sensing mechanism, event cameras …

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 …

In this work, we present RadioTransformer, a novel student-teacher transformer framework,
that leverages radiologists' gaze patterns and models their visuo-cognitive behavior for …

Human-object interaction (HOI) and temporal dynamics along the motion paths are the most
important visual cues for egocentric action anticipation. Especially, interaction regions …

Vision-Language Models (VLMs), pre-trained on large-scale datasets, have shown
impressive performance in various visual recognition tasks. This advancement paves the …

With the surge in attention to Egocentric Hand-Object Interaction (Ego-HOI), large-scale
datasets such as Ego4D and EPIC-KITCHENS have been proposed. However, most current …

With eye tracking finding widespread utility in augmented reality and virtual reality headsets,
eye gaze has the potential to recognize users' visual tasks and adaptively adjust virtual …

This paper addresses the gaze target detection problem in single images captured from the
third-person perspective. We present a multimodal deep architecture to infer where a person …

Improving the performance of egocentric action recognition (EAR) requires accurately
capturing interactions between actors and objects. In this paper, we propose two learning …