114 citations · 283 across the 18 of their papers we have counts for
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cs.RO2018★ 11 cited
ClusterNet: 3D Instance Segmentation in RGB-D Images
Lin Shao, Ye Tian, Jeannette Bohg
We propose a method for instance-level segmentation that uses RGB-D data as input and provides detailed information about the location, geometry and number of individual objects in…
cs.RO2018★ 32 cited
Motion-based Object Segmentation based on Dense RGB-D Scene Flow
Lin Shao, Parth Shah, Vikranth Dwaracherla +1
Given two consecutive RGB-D images, we propose a model that estimates a dense 3D motion field, also known as scene flow. We take advantage of the fact that in robot manipulation sc…