4 papers
Understanding 3D Object Articulation in Internet Videos
Shengyi Qian, Linyi Jin, Chris Rockwell +2
We propose to investigate detecting and characterizing the 3D planar articulation of objects from ordinary videos. While seemingly easy for humans, this problem poses many challeng…
Planar Surface Reconstruction from Sparse Views
Linyi Jin, Shengyi Qian, Andrew Owens +1
The paper studies planar surface reconstruction of indoor scenes from two views with unknown camera poses. While prior approaches have successfully created object-centric reconstru…
Associative3D: Volumetric Reconstruction from Sparse Views
Shengyi Qian, Linyi Jin, David F. Fouhey
This paper studies the problem of 3D volumetric reconstruction from two views of a scene with an unknown camera. While seemingly easy for humans, this problem poses many challenges…
Inferring Occluded Geometry Improves Performance when Retrieving an Object from Dense Clutter
Andrew Price, Linyi Jin, Dmitry Berenson
Object search -- the problem of finding a target object in a cluttered scene -- is essential to solve for many robotics applications in warehouse and household environments. Howeve…