Egocentric 3D human pose estimation with a single head-mounted fisheye camera has
recently attracted attention due to its numerous applications in virtual and augmented reality …

We introduce Nymeria-a large-scale, diverse, richly annotated human motion dataset
collected in the wild with multiple multimodal egocentric devices. The dataset comes with a) …

We investigate exocentric-to-egocentric cross-view translation, which aims to generate a first-
person (egocentric) view of an actor based on a video recording that captures the actor from …

While head-mounted devices are becoming more compact they provide egocentric views
with significant self-occlusions of the device user. Hence existing methods often fail 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 …

Egocentric human pose estimation aims to estimate human body poses and develop body
representations from a first-person camera perspective. It has gained vast popularity in …

In this work we explore egocentric whole-body motion capture using a single fisheye camera
which simultaneously estimates human body and hand motion. This task presents significant …

Monocular egocentric 3D human motion capture is a challenging and actively researched
problem. Existing methods use synchronously operating visual sensors (eg RGB cameras) …

Egocentric sensors such as AR/VR devices capture human-object interactions and offer the
potential to provide task-assistance by recalling 3D locations of objects of interest in the …

We present EgoTAP a heatmap-to-3D pose lifting method for highly accurate stereo
egocentric 3D pose estimation. Severe self-occlusion and out-of-view limbs in egocentric …