2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Decaf: Monocular Deformation Capture for Face and Hand Interactions
Soshi Shimada, Vladislav Golyanik, Patrick Pérez +1
Existing methods for 3D tracking from monocular RGB videos predominantly consider articulated and rigid objects. Modelling dense non-rigid object deformations in this setting remai…
cs.CV2022
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-…
cs.CV2022★ 2 cited
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…