22 citations · 38 across the 15 of their papers we have counts for
5 papers · 1 filter
MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes
Zhi Li, Soshi Shimada, Bernt Schiele +2
3D human motion capture from monocular RGB images respecting interactions of a subject with complex and possibly deformable environments is a very challenging, ill-posed and under-…
UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture
Hiroyasu Akada, Jian Wang, Soshi Shimada +3
We present UnrealEgo, i.e., a new large-scale naturalistic dataset for egocentric 3D human pose estimation. UnrealEgo is based on an advanced concept of eyeglasses equipped with tw…
Unbiased 4D: Monocular 4D Reconstruction with a Neural Deformation Model
Erik C. M. Johnson, Marc Habermann, Soshi Shimada +2
Capturing general deforming scenes from monocular RGB video is crucial for many computer graphics and vision applications. However, current approaches suffer from drawbacks such as…
HULC: 3D Human Motion Capture with Pose Manifold Sampling and Dense Contact Guidance
Soshi Shimada, Vladislav Golyanik, Zhi Li +3
Marker-less monocular 3D human motion capture (MoCap) with scene interactions is a challenging research topic relevant for extended reality, robotics and virtual avatar generation.…
Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors
Xinyu Yi, Yuxiao Zhou, Marc Habermann +4
Motion capture from sparse inertial sensors has shown great potential compared to image-based approaches since occlusions do not lead to a reduced tracking quality and the recordin…