211 citations · 559 across the 29 of their papers we have counts for
9 papers · 1 filter
Pano: Optimizing 360° Video Streaming with a Better Understanding of Quality Perception
Yu Guan, Chengyuan Zheng, Zongming Guo +2
Streaming 360° videos requires more bandwidth than non-360° videos. This is because current solutions assume that users perceive the quality of 360° videos in the same way they per…
Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks
Jiaxiang Tang, Wei Hu, Xiang Gao +1
Graph Convolutional Neural Networks (GCNNs) extend classical CNNs to graph data domain, such as brain networks, social networks and 3D point clouds. It is critical to identify an a…
Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds
Yiqun Xu, Wei Hu, Shanshe Wang +5
As 3D scanning devices and depth sensors advance, dynamic point clouds have attracted increasing attention as a format for 3D objects in motion, with applications in various fields…
Feature Graph Learning for 3D Point Cloud Denoising
Wei Hu, Xiang Gao, Gene Cheung +1
Identifying an appropriate underlying graph kernel that reflects pairwise similarities is critical in many recent graph spectral signal restoration schemes, including image denoisi…
Statistical Learning Based Congestion Control for Real-time Video Communication
Tongyu Dai, Xinggong Zhang, Yihang Zhang +1
With the increasing demands on interactive video applications, how to adapt video bit rate to avoid network congestion has become critical, since congestion results in self-inflict…
Controllable Artistic Text Style Transfer via Shape-Matching GAN
Shuai Yang, Zhangyang Wang, Zhaowen Wang +3
Artistic text style transfer is the task of migrating the style from a source image to the target text to create artistic typography. Recent style transfer methods have considered…
3D Dynamic Point Cloud Inpainting via Temporal Consistency on Graphs
Zeqing Fu, Wei Hu, Zongming Guo
With the development of 3D laser scanning techniques and depth sensors, 3D dynamic point clouds have attracted increasing attention as a representation of 3D objects in motion, ena…
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification
Xiang Gao, Wei Hu, Zongming Guo
Graph Convolutional Neural Networks (GCNNs) are generalizations of CNNs to graph-structured data, in which convolution is guided by the graph topology. In many cases where graphs a…
Consistent User-Traffic Allocation and Load Balancing in Mobile Edge Caching
Lemei Huang, Sheng Cheng, Yu Guan +2
Cache-equipped Base-Stations (CBSs) is an attractive alternative to offload the rapidly growing backhaul traffic in a mobile network. New 5G technology and dense femtocell enable o…