2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2021
SN-Graph: a Minimalist 3D Object Representation for Classification
Siyu Zhang, Hui Cao, Yuqi Liu +4
Using deep learning techniques to process 3D objects has achieved many successes. However, few methods focus on the representation of 3D objects, which could be more effective for…
cs.CV2021★ 2 cited
Spherical Transformer: Adapting Spherical Signal to CNNs
Yuqi Liu, Yin Wang, Haikuan Du +1
Convolutional neural networks (CNNs) have been widely used in various vision tasks, e.g. image classification, semantic segmentation, etc. Unfortunately, standard 2D CNNs are not w…
cs.CV2020
InSphereNet: a Concise Representation and Classification Method for 3D Object
Hui Cao, Haikuan Du, Siyu Zhang +1
In this paper, we present an InSphereNet method for the problem of 3D object classification. Unlike previous methods that use points, voxels, or multi-view images as inputs of deep…