activity
20172023
most citedO-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

859 citations · 1.2k across the 11 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.CV2020★ 6 cited

Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination

Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou +3

Although unsupervised feature learning has demonstrated its advantages to reducing the workload of data labeling and network design in many fields, existing unsupervised 3D learnin…

cs.CV2020★ 4 cited

Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion

Peng-Shuai Wang, Yang Liu, Xin Tong

Acquiring complete and clean 3D shape and scene data is challenging due to geometric occlusion and insufficient views during 3D capturing. We present a simple yet effective deep le…