6 citations · 11 across the 3 of their papers we have counts for
4 papers
MVTrans: Multi-View Perception of Transparent Objects
Yi Ru Wang, Yuchi Zhao, Haoping Xu +4
Transparent object perception is a crucial skill for applications such as robot manipulation in household and laboratory settings. Existing methods utilize RGB-D or stereo inputs t…
CONetV2: Efficient Auto-Channel Size Optimization for CNNs
Yi Ru Wang, Samir Khaki, Weihang Zheng +2
Neural Architecture Search (NAS) has been pivotal in finding optimal network configurations for Convolution Neural Networks (CNNs). While many methods explore NAS from a global sea…
Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects
Haoping Xu, Yi Ru Wang, Sagi Eppel +3
The basis of many object manipulation algorithms is RGB-D input. Yet, commodity RGB-D sensors can only provide distorted depth maps for a wide range of transparent objects due ligh…
Predicting 3D shapes, masks, and properties of materials, liquids, and objects inside transparent containers, using the TransProteus CGI dataset
Sagi Eppel, Haoping Xu, Yi Ru Wang +1
We present TransProteus, a dataset, and methods for predicting the 3D structure, masks, and properties of materials, liquids, and objects inside transparent vessels from a single i…