34 citations · 80 across the 5 of their papers we have counts for
5 papers
Simultaneously Recovering Multi-Person Meshes and Multi-View Cameras with Human Semantics
Buzhen Huang, Jingyi Ju, Yuan Shu +1
Dynamic multi-person mesh recovery has broad applications in sports broadcasting, virtual reality, and video games. However, current multi-view frameworks rely on a time-consuming…
HOLISMOKES -- XI. Evaluation of supervised neural networks for strong-lens searches in ground-based imaging surveys
R. Canameras, S. Schuldt, Y. Shu +10
While supervised neural networks have become state of the art for identifying the rare strong gravitational lenses from large imaging data sets, their selection remains significant…
Occluded Human Body Capture with Self-Supervised Spatial-Temporal Motion Prior
Buzhen Huang, Yuan Shu, Jingyi Ju +1
Although significant progress has been achieved on monocular maker-less human motion capture in recent years, it is still hard for state-of-the-art methods to obtain satisfactory r…
HOLISMOKES -- IX. Neural network inference of strong-lens parameters and uncertainties from ground-based images
S. Schuldt, R. Cañameras, Y. Shu +4
Modeling of strong gravitational lenses is a necessity for further applications in astrophysics and cosmology. Especially with the large number of detections in current and upcomin…
Dynamic Multi-Person Mesh Recovery From Uncalibrated Multi-View Cameras
Buzhen Huang, Yuan Shu, Tianshu Zhang +1
Dynamic multi-person mesh recovery has been a hot topic in 3D vision recently. However, few works focus on the multi-person motion capture from uncalibrated cameras, which mainly f…