46 citations · 147 across the 13 of their papers we have counts for
4 papers · 1 filter
TAP-Net: Transport-and-Pack using Reinforcement Learning
Ruizhen Hu, Juzhan Xu, Bin Chen +3
We introduce the transport-and-pack(TAP) problem, a frequently encountered instance of real-world packing, and develop a neural optimization solution based on reinforcement learnin…
Active Scene Understanding via Online Semantic Reconstruction
Lintao Zheng, Chenyang Zhu, Jiazhao Zhang +4
We propose a novel approach to robot-operated active understanding of unknown indoor scenes, based on online RGBD reconstruction with semantic segmentation. In our method, the expl…
Object-Aware Guidance for Autonomous Scene Reconstruction
Ligang Liu, Xi Xia, Han Sun +5
To carry out autonomous 3D scanning and online reconstruction of unknown indoor scenes, one has to find a balance between global exploration of the entire scene and local scanning…
Full 3D Reconstruction of Transparent Objects
Bojian Wu, Yang Zhou, Yiming Qian +2
Numerous techniques have been proposed for reconstructing 3D models for opaque objects in past decades. However, none of them can be directly applied to transparent objects. This p…