290 citations · 300 across the 6 of their papers we have counts for
6 papers
StarVQA+: Co-training Space-Time Attention for Video Quality Assessment
Fengchuang Xing, Yuan-Gen Wang, Weixuan Tang +2
Self-attention based Transformer has achieved great success in many computer vision tasks. However, its application to video quality assessment (VQA) has not been satisfactory so f…
HVS Revisited: A Comprehensive Video Quality Assessment Framework
Ao-Xiang Zhang, Yuan-Gen Wang, Weixuan Tang +2
Video quality is a primary concern for video service providers. In recent years, the techniques of video quality assessment (VQA) based on deep convolutional neural networks (CNNs)…
Multi-instance Point Cloud Registration by Efficient Correspondence Clustering
Weixuan Tang, Danping Zou
We address the problem of estimating the poses of multiple instances of the source point cloud within a target point cloud. Existing solutions require sampling a lot of hypotheses…
Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge
Weixuan Tang, Bin Li, Mauro Barni +2
Although significant progress in automatic learning of steganographic cost has been achieved recently, existing methods designed for spatial images are not well applicable to JPEG…
Image Steganography based on Iteratively Adversarial Samples of A Synchronized-directions Sub-image
Xinghong Qin, Shunquan Tan, Bin Li +2
Nowadays a steganography has to face challenges of both feature based staganalysis and convolutional neural network (CNN) based steganalysis. In this paper, we present a novel steg…
CNN Based Adversarial Embedding with Minimum Alteration for Image Steganography
Weixuan Tang, Bin Li, Shunquan Tan +2
Historically, steganographic schemes were designed in a way to preserve image statistics or steganalytic features. Since most of the state-of-the-art steganalytic methods employ a…