22 citations · 33 across the 6 of their papers we have counts for
6 papers
FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction
Noah Stier, Anurag Ranjan, Alex Colburn +4
Recent works on 3D reconstruction from posed images have demonstrated that direct inference of scene-level 3D geometry without test-time optimization is feasible using deep neural…
LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera Poses
Noah Stier, Baptiste Angles, Liang Yang +3
Dense 3D reconstruction from RGB images traditionally assumes static camera pose estimates. This assumption has endured, even as recent works have increasingly focused on real-time…
LSMAT Least Squares Medial Axis Transform
Daniel Rebain, Baptiste Angles, Julien Valentin +4
The medial axis transform has applications in numerous fields including visualization, computer graphics, and computer vision. Unfortunately, traditional medial axis transformation…
Optimizing Through Learned Errors for Accurate Sports Field Registration
Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles +3
We propose an optimization-based framework to register sports field templates onto broadcast videos. For accurate registration we go beyond the prevalent feed-forward paradigm. Ins…
VIPER: Volume Invariant Position-based Elastic Rods
Baptiste Angles, Daniel Rebain, Miles Macklin +8
We extend the formulation of position-based rods to include elastic volumetric deformations. We achieve this by introducing an additional degree of freedom per vertex -- isotropic…
MIST: Multiple Instance Spatial Transformer Network
Baptiste Angles, Yuhe Jin, Simon Kornblith +2
We propose a deep network that can be trained to tackle image reconstruction and classification problems that involve detection of multiple object instances, without any supervisio…