Visual lifelogging consists of acquiring images that capture the daily experiences of the user
by wearing a camera over a long period of time. The pictures taken offer considerable …

Video-based recognition of activities of daily living (ADLs) is being used in ambient assisted
living systems in order to support the independent living of older people. However, current …

Understanding social interactions from egocentric views is crucial for many applications,
ranging from assistive robotics to AR/VR. Key to reasoning about interactions is to …

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 …

Privacy protection from surreptitious video recordings is an important societal challenge. We
desire a computer vision system (eg, a robot) that can recognize human activities and assist …

The emergence of new wearable technologies, such as action cameras and smart glasses,
has increased the interest of computer vision scientists in the first person perspective …

We present EgoHumans, a new multi-view multi-human video benchmark to advance the
state-of-the-art of egocentric human 3D pose estimation and tracking. Existing egocentric …

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 …

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

The human action is an important information source for human social interaction, and it
simultaneously plays a crucial role in human-robot interaction (HRI). For a natural and fluent …