[HTML][HTML] Human-centric digital twins in industry: A comprehensive review of enabling technologies and implementation strategies
The last decade saw the emergence of highly autonomous, flexible, re-configurable Cyber-
Physical Systems. Research in this domain has been enhanced by the use of high-fidelity�…
Physical Systems. Research in this domain has been enhanced by the use of high-fidelity�…
Assembly101: A large-scale multi-view video dataset for understanding procedural activities
F Sener, D Chatterjee, D Shelepov…�- Proceedings of the�…, 2022 - openaccess.thecvf.com
Assembly101 is a new procedural activity dataset featuring 4321 videos of people
assembling and disassembling 101" take-apart" toy vehicles. Participants work without fixed�…
assembling and disassembling 101" take-apart" toy vehicles. Participants work without fixed�…
[HTML][HTML] Survey on depth and RGB image-based 3D hand shape and pose estimation
The field of vision-based human hand three-dimensional (3D) shape and pose estimation
has attracted significant attention recently owing to its key role in various applications, such�…
has attracted significant attention recently owing to its key role in various applications, such�…
3d face reconstruction with dense landmarks
Landmarks often play a key role in face analysis, but many aspects of identity or expression
cannot be represented by sparse landmarks alone. Thus, in order to reconstruct faces more�…
cannot be represented by sparse landmarks alone. Thus, in order to reconstruct faces more�…
Keypoint transformer: Solving joint identification in challenging hands and object interactions for accurate 3d pose estimation
We propose a robust and accurate method for estimating the 3D poses of two hands in close
interaction from a single color image. This is a very challenging problem, as large occlusions�…
interaction from a single color image. This is a very challenging problem, as large occlusions�…
Assemblyhands: Towards egocentric activity understanding via 3d hand pose estimation
We present AssemblyHands, a large-scale benchmark dataset with accurate 3D hand pose
annotations, to facilitate the study of egocentric activities with challenging hand-object�…
annotations, to facilitate the study of egocentric activities with challenging hand-object�…
Mobrecon: Mobile-friendly hand mesh reconstruction from monocular image
In this work, we propose a framework for single-view hand mesh reconstruction, which can
simultaneously achieve high reconstruction accuracy, fast inference speed, and temporal�…
simultaneously achieve high reconstruction accuracy, fast inference speed, and temporal�…
Interacting two-hand 3d pose and shape reconstruction from single color image
In this paper, we propose a novel deep learning framework to reconstruct 3D hand poses
and shapes of two interacting hands from a single color image. Previous methods designed�…
and shapes of two interacting hands from a single color image. Previous methods designed�…
Captra: Category-level pose tracking for rigid and articulated objects from point clouds
In this work, we tackle the problem of category-level online pose tracking for objects from
point cloud sequences. For the first time, we propose a unified framework that can handle�…
point cloud sequences. For the first time, we propose a unified framework that can handle�…
Reconstructing interacting hands with interaction prior from monocular images
Reconstructing interacting hands from monocular images is indispensable in AR/VR
applications. Most existing solutions rely on the accurate localization of each skeleton joint�…
applications. Most existing solutions rely on the accurate localization of each skeleton joint�…