22 citations · 38 across the 15 of their papers we have counts for
4 papers · 1 filter
Gravity-Aware Monocular 3D Human-Object Reconstruction
Rishabh Dabral, Soshi Shimada, Arjun Jain +2
This paper proposes GraviCap, i.e., a new approach for joint markerless 3D human motion capture and object trajectory estimation from monocular RGB videos. We focus on scenes with…
HandVoxNet++: 3D Hand Shape and Pose Estimation using Voxel-Based Neural Networks
Jameel Malik, Soshi Shimada, Ahmed Elhayek +4
3D hand shape and pose estimation from a single depth map is a new and challenging computer vision problem with many applications. Existing methods addressing it directly regress h…
Fast Simultaneous Gravitational Alignment of Multiple Point Sets
Vladislav Golyanik, Soshi Shimada, Christian Theobalt
The problem of simultaneous rigid alignment of multiple unordered point sets which is unbiased towards any of the inputs has recently attracted increasing interest, and several rel…
Neural Monocular 3D Human Motion Capture with Physical Awareness
Soshi Shimada, Vladislav Golyanik, Weipeng Xu +2
We present a new trainable system for physically plausible markerless 3D human motion capture, which achieves state-of-the-art results in a broad range of challenging scenarios. Un…