An outlook into the future of egocentric vision
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 …
research in egocentric vision and the ever-anticipated future, where wearable computing …
Challenges and solutions for vision-based hand gesture interpretation: A review
Hand gesture is one of the most efficient and natural interfaces in current human–computer
interaction (HCI) systems. Despite the great progress achieved in hand gesture-based HCI …
interaction (HCI) systems. Despite the great progress achieved in hand gesture-based HCI …
Transformer-based unified recognition of two hands manipulating objects
Understanding the hand-object interactions from an egocentric video has received a great
attention recently. So far, most approaches are based on the convolutional neural network …
attention recently. So far, most approaches are based on the convolutional neural network …
On the utility of 3d hand poses for action recognition
Abstract 3D hand pose is an underexplored modality for action recognition. Poses are
compact yet informative and can greatly benefit applications with limited compute budgets …
compact yet informative and can greatly benefit applications with limited compute budgets …
A survey of deep learning methods and datasets for hand pose estimation from hand-object interaction images
The research topic of estimating hand pose from the images of hand-object interaction has
the potential for replicating natural hand behavior in many practical applications of virtual …
the potential for replicating natural hand behavior in many practical applications of virtual …
HandBooster: Boosting 3D Hand-Mesh Reconstruction by Conditional Synthesis and Sampling of Hand-Object Interactions
Reconstructing 3D hand mesh robustly from a single image is very challenging due to the
lack of diversity in existing real-world datasets. While data synthesis helps relieve the issue …
lack of diversity in existing real-world datasets. While data synthesis helps relieve the issue …
EAGLE: Egocentric AGgregated Language-video Engine
The rapid evolution of egocentric video analysis brings new insights into understanding
human activities and intentions from a first-person perspective. Despite this progress, the …
human activities and intentions from a first-person perspective. Despite this progress, the …
Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
The pursuit of accurate 3D hand pose estimation stands as a keystone for understanding
human activity in the realm of egocentric vision. The majority of existing estimation methods …
human activity in the realm of egocentric vision. The majority of existing estimation methods …
SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation
Estimating 3D hand mesh from RGB images is a longstanding track, in which occlusion is
one of the most challenging problems. Existing attempts towards this task often fail when the …
one of the most challenging problems. Existing attempts towards this task often fail when the …
Progressively global–local fusion with explicit guidance for accurate and robust 3d hand pose reconstruction
Parametric and non-parametric methods are two commonly used strategies in current 3D
hand pose reconstruction. Parametric methods predict low-dimensional parameters to fit a …
hand pose reconstruction. Parametric methods predict low-dimensional parameters to fit a …