25 citations · 58 across the 8 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2021★ 12 cited
DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes
Michael Strecke, Joerg Stueckler
Differentiable physics is a powerful tool in computer vision and robotics for scene understanding and reasoning about interactions. Existing approaches have frequently been limited…
cs.CV2021★ 8 cited
Tracking 6-DoF Object Motion from Events and Frames
Haolong Li, Joerg Stueckler
Event cameras are promising devices for lowlatency tracking and high-dynamic range imaging. In this paper,we propose a novel approach for 6 degree-of-freedom (6-DoF)object motion t…
cs.CV2020★ 7 cited
Weakly Supervised Learning of Multi-Object 3D Scene Decompositions Using Deep Shape Priors
Cathrin Elich, Martin R. Oswald, Marc Pollefeys +1
Representing scenes at the granularity of objects is a prerequisite for scene understanding and decision making. We propose PriSMONet, a novel approach based on Prior Shape knowled…