98 citations · 112 across the 3 of their papers we have counts for
7 papers
Deep Learning-based Forgery Attack on Document Images
Lin Zhao, Changsheng Chen, Jiwu Huang
With the ongoing popularization of online services, the digital document images have been used in various applications. Meanwhile, there have emerged some deep learning-based text…
Domain Generalization for Document Authentication against Practical Recapturing Attacks
Changsheng Chen, Shuzheng Zhang, Fengbo Lan +1
Recapturing attack can be employed as a simple but effective anti-forensic tool for digital document images. Inspired by the document inspection process that compares a questioned…
DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing
Rizhao Cai, Haoliang Li, Shiqi Wang +2
Inspired by the philosophy employed by human beings to determine whether a presented face example is genuine or not, i.e., to glance at the example globally first and then carefull…
Detection of Information Hiding at Anti-Copying 2D Barcodes
Ning Xie, Ji Hu, Junjie Chen +2
This paper concerns the problem of detecting the use of information hiding at anti-copying 2D barcodes. Prior hidden information detection schemes are either heuristicbased or Mach…
Low-Cost Anti-Copying 2D Barcode by Exploiting Channel Noise Characteristics
Ning Xie, Qiqi Zhang, Ji Hu +2
In this paper, for overcoming the drawbacks of the prior approaches, such as low generality, high cost, and high overhead, we propose a Low-Cost Anti-Copying (LCAC) 2D barcode by e…
Layer Pruning for Accelerating Very Deep Neural Networks
Weiwei Zhang, Changsheng chen, Xuechun Wu +4
In this paper, we propose an adaptive pruning method. This method can cut off the channel and layer adaptively. The proportion of the layer and the channel to be cut is learned ada…