211 citations · 559 across the 29 of their papers we have counts for
9 papers · 1 filter
Feature Preserving and Uniformity-controllable Point Cloud Simplification on Graph
Junkun Qi, Wei Hu, Zongming Guo
With the development of 3D sensing technologies, point clouds have attracted increasing attention in a variety of applications for 3D object representation, such as autonomous driv…
TET-GAN: Text Effects Transfer via Stylization and Destylization
Shuai Yang, Jiaying Liu, Wenjing Wang +1
Text effects transfer technology automatically makes the text dramatically more impressive. However, previous style transfer methods either study the model for general style, which…
Exploring Hypergraph Representation on Face Anti-spoofing Beyond 2D Attacks
Wei Hu, Gusi Te, Ju He +2
Face anti-spoofing plays a crucial role in protecting face recognition systems from various attacks. Previous model-based and deep learning approaches achieve satisfactory performa…
UtilCache: Effectively and Practicably Reducing Link Cost in Information-Centric Network
Lemei Huang, Yu Guan, Xinggong Zhang +1
Minimizing total link cost in Information-Centric Network (ICN) by optimizing content placement is challenging in both effectiveness and practicality. To attain better performance,…
Optimized Skeleton-based Action Recognition via Sparsified Graph Regression
Xiang Gao, Wei Hu, Jiaxiang Tang +2
With the prevalence of accessible depth sensors, dynamic human body skeletons have attracted much attention as a robust modality for action recognition. Previous methods model skel…
Context-Aware Text-Based Binary Image Stylization and Synthesis
Shuai Yang, Jiaying Liu, Wenhan Yang +1
In this work, we present a new framework for the stylization of text-based binary images. First, our method stylizes the stroke-based geometric shape like text, symbols and icons i…
Local Frequency Interpretation and Non-Local Self-Similarity on Graph for Point Cloud Inpainting
Zeqing Fu, Wei Hu, Zongming Guo
As 3D scanning devices and depth sensors mature, point clouds have attracted increasing attention as a format for 3D object representation, with applications in various fields such…
Retrieval-Enhanced Adversarial Training for Neural Response Generation
Qingfu Zhu, Lei Cui, Weinan Zhang +2
Dialogue systems are usually built on either generation-based or retrieval-based approaches, yet they do not benefit from the advantages of different models. In this paper, we prop…
RGCNN: Regularized Graph CNN for Point Cloud Segmentation
Gusi Te, Wei Hu, Zongming Guo +1
Point cloud, an efficient 3D object representation, has become popular with the development of depth sensing and 3D laser scanning techniques. It has attracted attention in various…