51 citations · 57 across the 4 of their papers we have counts for
7 papers
Dense Graph Convolutional Neural Networks on 3D Meshes for 3D Object Segmentation and Classification
Wenming Tang Guoping Qiu
This paper presents new designs of graph convolutional neural networks (GCNs) on 3D meshes for 3D object segmentation and classification. We use the faces of the mesh as basic proc…
Quarter Laplacian Filter for Edge Aware Image Processing
Yuanhao Gong, Wenming Tang, Lebin Zhou +2
This paper presents a quarter Laplacian filter that can preserve corners and edges during image smoothing. Its support region is , which is smaller than the su…
A Discrete Scheme for Computing Image's Weighted Gaussian Curvature
Yuanhao Gong, Wenming Tang, Lebin Zhou +2
Weighted Gaussian Curvature is an important measurement for images. However, its conventional computation scheme has low performance, low accuracy and requires that the input image…
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
Jun Liu, Qing Li, Rui Cao +2
Predicting depth from a single image is an attractive research topic since it provides one more dimension of information to enable machines to better perceive the world. Recently,…
Gaussian Curvature Filter on 3D Meshes
Wenming Tang, Yuanhao Gong, Kanglin Liu +4
Minimizing the Gaussian curvature of meshes can play a fundamental role in 3D mesh processing. However, there is a lack of computationally efficient and robust Gaussian curvature o…
Spectral Regularization for Combating Mode Collapse in GANs
Kanglin Liu, Wenming Tang, Fei Zhou +1
Despite excellent progress in recent years, mode collapse remains a major unsolved problem in generative adversarial networks (GANs).In this paper, we present spectral regularizati…