211 citations · 559 across the 29 of their papers we have counts for
29 papers
Generic Reversible Visible Watermarking Via Regularized Graph Fourier Transform Coding
Wenfa Qi, Sirui Guo, Wei Hu
Reversible visible watermarking (RVW) is an active copyright protection mechanism. It not only transparently superimposes copyright patterns on specific positions of digital images…
Co-Grounding Networks with Semantic Attention for Referring Expression Comprehension in Videos
Sijie Song, Xudong Lin, Jiaying Liu +2
In this paper, we address the problem of referring expression comprehension in videos, which is challenging due to complex expression and scene dynamics. Unlike previous methods wh…
Modality Compensation Network: Cross-Modal Adaptation for Action Recognition
Sijie Song, Jiaying Liu, Yanghao Li +1
With the prevalence of RGB-D cameras, multi-modal video data have become more available for human action recognition. One main challenge for this task lies in how to effectively le…
DeepRS: Deep-learning Based Network-Adaptive FEC for Real-Time Video Communications
Sheng Cheng, Han Hu, Xinggong Zhang +1
This work proposes an innovative approach to handle packet loss in real-time video streaming scenarios in a more sophisticated way -- Predicting packet loss pattern on time field b…
Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches
Shuai Yang, Zhangyang Wang, Jiaying Liu +1
Sketch-based image editing aims to synthesize and modify photos based on the structural information provided by the human-drawn sketches. Since sketches are difficult to collect, p…
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…
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…
TFDASH: A Fairness, Stability, and Efficiency Aware Rate Control Approach for Multiple Clients over DASH
Chao Zhou, Chia-Wen Lin, Xinggong Zhang +1
Dynamic adaptive streaming over HTTP (DASH) has recently been widely deployed in the Internet and adopted in the industry. It, however, does not impose any adaptation logic for sel…