7 citations · 8 across the 4 of their papers we have counts for
6 papers
Learning Body-Aware 3D Shape Generative Models
Bryce Blinn, Alexander Ding, R. Kenny Jones +3
The shape of many objects in the built environment is dictated by their relationships to the human body: how will a person interact with this object? Existing data-driven generativ…
StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects
Ge Zhang, Or Litany, Srinath Sridhar +1
We present StrobeNet, a method for category-level 3D reconstruction of articulating objects from one or more unposed RGB images. Reconstructing general articulating object categori…
HuMoR: 3D Human Motion Model for Robust Pose Estimation
Davis Rempe, Tolga Birdal, Aaron Hertzmann +3
We introduce HuMoR: a 3D Human Motion Model for Robust Estimation of temporal pose and shape. Though substantial progress has been made in estimating 3D human motion and shape from…
Predicting the Physical Dynamics of Unseen 3D Objects
Davis Rempe, Srinath Sridhar, He Wang +1
Machines that can predict the effect of physical interactions on the dynamics of previously unseen object instances are important for creating better robots and interactive virtual…
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
He Wang, Srinath Sridhar, Jingwei Huang +3
The goal of this paper is to estimate the 6D pose and dimensions of unseen object instances in an RGB-D image. Contrary to "instance-level" 6D pose estimation tasks, our problem as…
Real-Time Hand Tracking Using a Sum of Anisotropic Gaussians Model
Srinath Sridhar, Helge Rhodin, Hans-Peter Seidel +2
Real-time marker-less hand tracking is of increasing importance in human-computer interaction. Robust and accurate tracking of arbitrary hand motion is a challenging problem due to…